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Mana­ge your com­pa­ny
into the future
with our AI con­sul­ting

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We make arti­fi­ci­al intel­li­gence safe and usable!

In today’s dyna­mic busi­ness world, arti­fi­ci­al intel­li­gence (AI) is no lon­ger just a tech­no­lo­gi­cal trend, but a decisi­ve suc­cess fac­tor for future-ori­en­ted com­pa­nies. Com­pa­nies are faced with the major chall­enge of inte­gra­ting this tech­no­lo­gy effec­tively.

AI offers enorm­ous poten­ti­al and makes it pos­si­ble to deve­lop inno­va­ti­ve busi­ness models and fun­da­men­tal­ly opti­mi­ze exis­ting pro­ces­ses. 

We help you to reco­gni­ze the oppor­tu­ni­ties of AI and deve­lop tail­or-made solu­ti­ons that make your com­pa­ny future-pro­of.

Our expe­ri­en­ced team of inde­pen­dent AI spe­cia­lists, soft­ware deve­lo­pers and appli­ca­ti­on con­sul­tants will sup­port you in iden­ti­fy­ing and imple­men­ting your AI pro­jects.

Our holi­stic AI solu­ti­ons com­bi­ne in-depth tech­ni­cal exper­ti­se with a pro­found under­stan­ding of the indus­try, enab­ling cus­to­mi­zed approa­ches for your indi­vi­du­al busi­ness requi­re­ments.

AI solu­ti­ons:
Intel­li­gent tech­no­lo­gies for your com­pe­ti­ti­ve edge

Ope­ra­tio­nal test (Poten­ti­al Work­shop)

Eva­lua­ti­on of the sui­ta­bi­li­ty and effec­ti­ve­ness of arti­fi­ci­al intel­li­gence for your use cases. In our work­shop, we ana­ly­se your tech­no­lo­gi­cal and orga­niza­tio­nal requi­re­ments and iden­ti­fy the most pro­mi­sing AI use cases for your com­pa­ny.

Stra­tegy

Com­pre­hen­si­ve plan­ning and defi­ni­ti­on of the inte­gra­ti­on of arti­fi­ci­al intel­li­gence into your com­pa­ny. We work with you to deve­lop an AI stra­tegy that is opti­mal­ly ali­gned with your busi­ness objec­ti­ves and defi­ne stra­te­gic AI goals and suc­cess cri­te­ria.

Requi­re­ments manage­ment

Sys­te­ma­tic recor­ding, ana­ly­sis and prio­ri­tiza­ti­on of requi­re­ments and expec­ta­ti­ons for arti­fi­ci­al intel­li­gence. We sup­port you in the detail­ed recor­ding of func­tion­al and tech­ni­cal requi­re­ments as well as the defi­ni­ti­on of secu­ri­ty and data pro­tec­tion requi­re­ments.

Ten­der sup­port

With the help of AI, you can ensu­re grea­ter effi­ci­en­cy in the crea­ti­on, manage­ment and eva­lua­ti­on of ten­ders. Use AI for effi­ci­ent crea­ti­on of ten­der docu­ments and auto­ma­ted com­pli­ance checks.

Soft­ware deve­lo­p­ment / pro­to­ty­pes

Appli­ca­ti­on of AI and machi­ne lear­ning to crea­te and opti­mi­ze soft­ware solu­ti­ons. Our deve­lo­pers crea­te cus­to­mi­zed AI models and algo­rith­ms that are pre­cis­e­ly tail­o­red to your requi­re­ments.

Imple­men­ta­ti­on

Inte­gra­ti­on and appli­ca­ti­on of arti­fi­ci­al intel­li­gence in exis­ting sys­tems and deve­lo­p­ment of new, cus­to­mi­zed solu­ti­ons. We sup­port you with seam­less inte­gra­ti­on into your IT infra­struc­tu­re and ensu­re the hig­hest secu­ri­ty stan­dards.

Bias Audit

Sys­te­ma­tic review, ana­ly­sis and trai­ning of AI sys­tems to eli­mi­na­te poten­ti­al errors in the algo­rithm. We ensu­re that your AI sys­tems are fair, trans­pa­rent and error-free by sys­te­ma­ti­cal­ly che­cking for bia­ses and pre­ju­di­ces.

AI-sup­port­ed data pro­tec­tion ser­vices

Holi­stic con­sul­ting approach to sup­port AI tech­no­lo­gies for you in an effi­ci­ent, data-dri­ven and GDPR-com­pli­ant man­ner. We work with you to deve­lop data pro­tec­tion-fri­end­ly AI archi­tec­tures and ensu­re com­pli­ance with regu­la­to­ry requi­re­ments.

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Com­pu­ter­BUT­LER has not only moder­ni­zed our IT land­scape, but also achie­ved a real busi­ness impact. The cloud trans­for­ma­ti­on has enab­led us to redu­ce our IT ope­ra­ting cos­ts by 40% while signi­fi­cant­ly incre­asing the agi­li­ty of our busi­ness.

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Key Bene­fits

Our holi­stic con­sul­ting approach accom­pa­nies you throug­hout the enti­re life cycle of your AI pro­jects — from the initi­al ana­ly­sis of poten­ti­al and stra­te­gic design through to seam­less inte­gra­ti­on into your exis­ting IT land­scape and long-term ope­ra­ti­on. Thanks to our agi­le metho­do­lo­gy, we can react fle­xi­bly to chan­ging requi­re­ments and enable step-by-step deve­lo­p­ment that com­bi­nes con­ti­nuous pro­gress with mana­geable risk.

Sup­port

Com­pre­hen­si­ve con­sul­ting over the enti­re life cycle. From the initi­al idea to long-term ope­ra­ti­on, we sup­port you in all aspects of your AI pro­jects with our holi­stic con­sul­ting approach.

High fle­xi­bi­li­ty

Agi­le metho­do­lo­gy approach to deter­mi­ne the indi­vi­du­al AI poten­ti­al. With our agi­le approach, we can adapt fle­xi­bly to your requi­re­ments and enable the step-by-step deve­lo­p­ment and imple­men­ta­ti­on of AI solu­ti­ons.

Per­so­na­li­zed solu­ti­ons

Indi­vi­du­al recom­men­da­ti­on manage­ment for a wide ran­ge of appli­ca­ti­on sce­na­ri­os. We deve­lop cus­to­mi­zed AI solu­ti­ons that are pre­cis­e­ly tail­o­red to your spe­ci­fic requi­re­ments, pro­ces­ses and goals.

Infor­ma­ti­on secu­ri­ty

Hig­hest secu­ri­ty stan­dards: We imple­ment AI pro­jects with maxi­mum infor­ma­ti­on secu­ri­ty. As cyber­se­cu­ri­ty experts, we ensu­re that your AI solu­ti­ons meet all secu­ri­ty requi­re­ments at the hig­hest level and are com­pre­hen­si­ve­ly pro­tec­ted.
Acce­le­ra­ted time-to-mar­ket: Our struc­tu­red approach and the use of pro­ven methods signi­fi­cant­ly shor­ten the deve­lo­p­ment time of your AI solu­ti­ons. You bene­fit from fas­ter time-to-mar­ket cycles and can rea­li­ze AI-sup­port­ed com­pe­ti­ti­ve advan­ta­ges ear­lier.

Tools & Plat­forms

  • AI deve­lo­p­ment plat­forms: Micro­soft Azu­re AI, AWS Sage­Ma­ker, Goog­le AI Plat­form — Com­pre­hen­si­ve infra­struc­tures for the deve­lo­p­ment, pro­vi­si­on and manage­ment of AI solu­ti­ons
  • Enter­pri­se secu­ri­ty solu­ti­ons: Fort­i­net, Palo Alto Net­works, IBM Secu­ri­ty — Lea­ding secu­ri­ty tech­no­lo­gies to pro­tect sen­si­ti­ve AI appli­ca­ti­ons and data at the hig­hest level
  • Data Sci­ence Frame­works: Ten­sor­Flow, PyTorch, sci­kit-learn — Powerful open source libra­ri­es for advan­ced mode­ling and ana­ly­sis
  • Pro­ject manage­ment tools: JIRA, Micro­soft Pro­ject, Monday.com — Spe­cia­li­zed tools for agi­le manage­ment and effi­ci­ent con­trol of AI pro­jects
With a com­bi­na­ti­on of deep tech­no­lo­gy exper­ti­se and indus­try-spe­ci­fic know­ledge, our IT con­sul­ting ser­vices help orga­niza­ti­ons over­co­me tech­no­lo­gy chal­lenges and imple­ment inno­va­ti­ve AI solu­ti­ons that crea­te real busi­ness value. Our experts work clo­se­ly with you to ensu­re that tech­no­lo­gy does­n’t just remain a tool, but beco­mes a key dri­ver of busi­ness growth and inno­va­ti­on.

AI ana­ly­sis & fore­cas­ting models

With our advan­ced AI-based ana­ly­sis and fore­cas­ting methods, we unlock the full poten­ti­al of your com­pa­ny data. We trans­form com­plex data sets into valuable insights and pre­cise pre­dic­tions that give you a decisi­ve com­pe­ti­ti­ve advan­ta­ge. By using sta­te-of-the-art algo­rith­ms and machi­ne lear­ning tech­no­lo­gies, we sup­port you in making data-dri­ven decis­i­ons and iden­ti­fy­ing hid­den busi­ness poten­ti­al.
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Advan­ced data ana­ly­sis & fore­cas­ting models

  • Big Data Ana­ly­ticsStruc­tu­red pro­ces­sing and ana­ly­sis of lar­ge, hete­ro­ge­neous data volu­mes from dif­fe­rent sources
  • Pre­dic­ti­ve ana­ly­ticsDeve­lo­p­ment of pre­cise fore­cas­ting models for well-foun­ded stra­te­gic and ope­ra­tio­nal busi­ness decis­i­ons
  • Pat­tern and anoma­ly detec­tionIden­ti­fi­ca­ti­on of hid­den cor­re­la­ti­ons and devia­ti­ons in com­plex data sets
  • Busi­ness Intel­li­genceTrans­for­ma­ti­on of raw data into usable busi­ness infor­ma­ti­on through AI-sup­port­ed ana­ly­sis tools
  • Real-time ana­ly­ticsReal-time eva­lua­ti­on of data streams for time-cri­ti­cal decis­i­on-making pro­ces­ses

Data pre­pa­ra­ti­on & inte­gra­ti­on

Our experts har­mo­ni­ze and inte­gra­te your data from various sources to crea­te a con­sis­tent data­ba­se. Through pro­fes­sio­nal data cle­an­sing, enrich­ment and trans­for­ma­ti­on, we crea­te the basis for relia­ble ana­ly­ses and pre­cise fore­cas­ting models. With our tail­or-made ETL pro­ces­ses (Extra­ct, Trans­form, Load) and data pipe­line solu­ti­ons, we gua­ran­tee a con­ti­nuous, qua­li­ty-assu­red data stream for your ana­ly­ti­cal appli­ca­ti­ons.

AI-sup­port­ed decis­i­on sup­port

We deve­lop intel­li­gent decis­i­on sup­port sys­tems that trans­la­te com­plex data ana­ly­ses into clear recom­men­da­ti­ons for action. By com­bi­ning machi­ne lear­ning, sta­tis­ti­cal methods and domain exper­ti­se, we crea­te AI solu­ti­ons that opti­mi­ze decis­i­on-making pro­ces­ses at all levels of the com­pa­ny — from rou­ti­ne ope­ra­tio­nal decis­i­ons to stra­te­gic decis­i­ons.

Visua­liza­ti­on & Report­ing

Our inter­ac­ti­ve dash­boards and visua­liza­ti­on solu­ti­ons make com­plex data ana­ly­ses intui­tively under­stan­da­ble. We design user-fri­end­ly inter­faces that pro­vi­de rele­vant insights at a glan­ce and enable in-depth ana­ly­ses at the click of a mou­se. Our auto­ma­ted report­ing solu­ti­ons pro­vi­de you with regu­lar, cus­to­mi­zed reports that deli­ver exact­ly the infor­ma­ti­on you need to make infor­med decis­i­ons.

Your advan­ta­ges

  • Impro­ved decis­i­on qua­li­ty: Make well-foun­ded decis­i­ons based on pre­cise data ana­ly­ses and fore­casts ins­tead of rely­ing on gut fee­ling and empi­ri­cal values.

  • Ear­ly risk and oppor­tu­ni­ty detec­tion: Iden­ti­fy trends, pat­terns and anoma­lies at an ear­ly stage and react proac­tively to emer­ging risks and oppor­tu­ni­ties.

  • Increased effi­ci­en­cy: Auto­ma­te data-inten­si­ve ana­ly­sis pro­ces­ses and deploy your resour­ces whe­re they crea­te the grea­test added value.


Tools & Plat­forms

  • ana­ly­sis frame­works: Apa­che Spark, Hadoop, Dat­ab­ricks — Powerful plat­forms for the dis­tri­bu­ted pro­ces­sing of lar­ge amounts of data
  • Machi­ne Lear­ning: Ten­sor­Flow, PyTorch, sci­kit-learn, H2O.ai — Com­pre­hen­si­ve libra­ri­es and frame­works for the deve­lo­p­ment of advan­ced pre­dic­ti­ve models
  • Visua­liza­ti­on: Tableau, Power BI, Qlik Sen­se, D3.js — Intui­ti­ve tools for the inter­ac­ti­ve pre­sen­ta­ti­on of com­plex data ana­ly­ses
  • Big data plat­forms: Snow­fla­ke, Ama­zon Reds­hift, Goog­le Big­Query — sca­lable cloud solu­ti­ons for the effi­ci­ent sto­rage and ana­ly­sis of lar­ge amounts of data
With our AI-sup­port­ed ana­ly­sis and fore­cas­ting solu­ti­ons, we turn your data into a stra­te­gic com­pe­ti­ti­ve advan­ta­ge. Our experts com­bi­ne sound tech­no­lo­gi­cal exper­ti­se with in-depth indus­try know­ledge to deve­lop cus­to­mi­zed solu­ti­ons that opti­mal­ly sup­port your spe­ci­fic busi­ness requi­re­ments and gene­ra­te mea­sura­ble added value.

Intel­li­gent pro­cess auto­ma­ti­on with AI

Our intel­li­gent pro­cess auto­ma­ti­on solu­ti­ons are revo­lu­tio­ni­zing the way com­pa­nies design and exe­cu­te their busi­ness pro­ces­ses. By com­bi­ning Robo­tic Pro­cess Auto­ma­ti­on (RPA) with advan­ced AI tech­no­lo­gies, we not only auto­ma­te repe­ti­ti­ve tasks, but also deve­lop self-lear­ning sys­tems that con­ti­nuous­ly increase their effi­ci­en­cy. In this way, we crea­te the basis for a new gene­ra­ti­on of intel­li­gent busi­ness pro­ces­ses that adapt to chan­ging requi­re­ments and free up valuable resour­ces for stra­te­gi­cal­ly important tasks.
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Pro­cess ana­ly­sis & pro­cess mining

We use sta­te-of-the-art pro­cess mining tech­no­lo­gies to make your busi­ness pro­ces­ses trans­pa­rent and iden­ti­fy opti­miza­ti­on poten­ti­al. By ana­ly­zing digi­tal pro­cess traces, we gain deep insights into actu­al pro­cess flows, bot­t­len­ecks and devia­ti­ons. This data-dri­ven approach pro­vi­des the empi­ri­cal basis for tar­ge­ted pro­cess opti­miza­ti­on and intel­li­gent auto­ma­ti­on.

Seam­less inte­gra­ti­on & orchestra­ti­on

  • Robo­tic Pro­cess Auto­ma­ti­on (RPA)Auto­ma­ti­on of rule-based, repe­ti­ti­ve busi­ness pro­ces­ses
  • Cogni­ti­ve pro­cess auto­ma­ti­onExten­si­on of clas­sic RPA with AI com­pon­ents for pro­ces­sing unstruc­tu­red data
  • End-to-end pro­cess opti­miza­ti­onAna­ly­sis, rede­sign and auto­ma­ti­on of com­ple­te busi­ness pro­ces­ses
  • Work­flow intel­li­genceSelf-opti­mi­zing pro­cess sequen­ces through machi­ne lear­ning
  • Resour­ce allo­ca­ti­onAI-based opti­miza­ti­on of resour­ce allo­ca­ti­on within busi­ness pro­ces­ses
Our auto­ma­ti­on solu­ti­ons inte­gra­te seam­less­ly into your exis­ting IT land­scape. Using spe­cia­li­zed con­nec­tors and APIs, we con­nect lega­cy sys­tems, cloud appli­ca­ti­ons and modern micro­ser­vices to crea­te a har­mo­nious­ly orchestra­ted pro­cess land­scape. The cen­tral con­trol and moni­to­ring of auto­ma­ted pro­ces­ses ensu­res maxi­mum trans­pa­ren­cy and con­trol over the enti­re auto­ma­ti­on envi­ron­ment.
We deve­lop auto­ma­ti­on archi­tec­tures that grow with your requi­re­ments. From indi­vi­du­al auto­ma­ted tasks to com­pa­ny-wide auto­ma­ti­on initia­ti­ves — our solu­ti­ons sca­le fle­xi­bly and allow you to expand your auto­ma­ti­on capa­ci­ties step by step. Through modu­lar con­cepts and reusable com­pon­ents, we maxi­mi­ze the effi­ci­en­cy of your auto­ma­ti­on invest­ments.

Your advan­ta­ges

  • Signi­fi­cant cost savings: Reduc­tion of manu­al effort by up to 70% through intel­li­gent pro­cess auto­ma­ti­on and AI-sup­port­ed opti­miza­ti­on
  • Hig­her pro­cess qua­li­ty: Mini­miza­ti­on of error rates and con­sis­tent adhe­rence to com­pli­ance requi­re­ments through stan­dar­di­zed, auto­ma­ted pro­ces­ses
  • Acce­le­ra­ted pro­cess exe­cu­ti­on: Dra­stic reduc­tion in through­put times and respon­se speeds thanks to 24/7 avai­la­bi­li­ty of auto­ma­ted pro­ces­ses
  • Increased employee satis­fac­tion: Free­ing employees from mono­to­no­us rou­ti­ne tasks and focu­sing on value-adding, crea­ti­ve acti­vi­ties

Tools & Plat­forms

  • RPA plat­forms: UiPath, Auto­ma­ti­on Any­whe­re, Blue Prism — lea­ding tech­no­lo­gies for the auto­ma­ti­on of struc­tu­red busi­ness pro­ces­ses
  • Pro­cess Mining: Celo­nis, QPR Pro­cess­Ana­ly­zer, Minit — Powerful tools for data-based ana­ly­sis of busi­ness pro­ces­ses
  • Work­flow manage­ment: Camun­da, Appian, Pega Sys­tems — Fle­xi­ble plat­forms for mode­ling and exe­cu­ting com­plex busi­ness pro­ces­ses
  • Low-Code/­No-Code: Micro­soft Power Auto­ma­te, Nin­tex, Zapier — user-fri­end­ly auto­ma­ti­on tools for busi­ness users wit­hout pro­gramming know­ledge
With our intel­li­gent pro­cess auto­ma­ti­on solu­ti­ons, we trans­form your busi­ness pro­ces­ses into self-opti­mi­zing, high­ly effi­ci­ent work­flows. Our experts sup­port you from the initi­al pro­cess ana­ly­sis and imple­men­ta­ti­on through to the con­ti­nuous fur­ther deve­lo­p­ment of your auto­ma­ti­on land­scape. Achie­ve sus­tainable effi­ci­en­cy gains and crea­te scope for inno­va­ti­on and stra­te­gic growth through the tar­ge­ted com­bi­na­ti­on of RPA and arti­fi­ci­al intel­li­gence.

Advan­ced Natu­ral Lan­guage Pro­ces­sing

Our Advan­ced Natu­ral Lan­guage Pro­ces­sing ser­vices enable com­pa­nies to unlock the full poten­ti­al of lan­guage tech­no­lo­gy and revo­lu­tio­ni­ze busi­ness pro­ces­ses through intel­li­gent text pro­ces­sing. By com­bi­ning cut­ting-edge AI algo­rith­ms with indus­try-spe­ci­fic exper­ti­se, we deve­lop cus­to­mi­zed NLP solu­ti­ons that meet your spe­ci­fic requi­re­ments and deli­ver mea­sura­ble busi­ness results.
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Con­ver­sa­tio­nal AI & dia­log sys­tems

We design and imple­ment advan­ced dia­log sys­tems that enable natu­ral con­ver­sa­ti­ons bet­ween humans and machi­nes. Our Con­ver­sa­tio­nal AI solu­ti­ons under­stand con­tex­tu­al queries, con­ti­nuous­ly learn from inter­ac­tions and deli­ver pre­cise, rele­vant ans­wers. From simp­le FAQ bots to com­plex vir­tu­al assistants with mul­ti-laye­red decis­i­on making, we deve­lop dia­log sys­tems that take your cus­to­mer inter­ac­tions to the next level.
Our intel­li­gent assis­tance sys­tems auto­ma­te and opti­mi­ze sup­port and ser­vice pro­ces­ses through natu­ral lan­guage under­stan­ding. We deve­lop cus­to­mi­zed chat­bots and vir­tu­al assistants that can be inte­gra­ted into your exis­ting sys­tems and effec­tively sup­port both cus­to­mers and employees. Through inte­gra­ti­on with backend sys­tems, know­ledge data­ba­ses and pro­cess flows, the­se assistants beco­me valuable digi­tal employees who are available around the clock.
With our advan­ced sen­ti­ment ana­ly­sis solu­ti­ons, you gain valuable insights into the mood and opi­ni­on of your cus­to­mers, the mar­ket and social media. Our sys­tems auto­ma­ti­cal­ly iden­ti­fy and clas­si­fy emo­tio­nal ten­den­ci­es in texts and enable you to iden­ti­fy trends at an ear­ly stage, impro­ve pro­ducts and opti­mi­ze your com­mu­ni­ca­ti­on stra­tegy. The mul­ti­l­in­gu­al ana­ly­sis engi­ne pro­ces­ses feed­back in dif­fe­rent lan­guages and deli­vers con­sis­tent, actionable insights.
We deve­lop AI-sup­port­ed sys­tems for the auto­ma­ted extra­c­tion and ana­ly­sis of rele­vant infor­ma­ti­on from unstruc­tu­red text docu­ments. Our solu­ti­ons reco­gni­ze and clas­si­fy docu­ment types, extra­ct key infor­ma­ti­on and con­vert unstruc­tu­red data into struc­tu­red, searcha­ble for­mats. From the auto­ma­ted pro­ces­sing of con­tracts to the ana­ly­sis of sci­en­ti­fic publi­ca­ti­ons and com­pli­ance checks — our docu­ment under­stan­ding sys­tems save valuable time and mini­mi­ze manu­al errors.
Our mul­ti­l­in­gu­al NLP solu­ti­ons enable seam­less lan­guage pro­ces­sing across lan­guage boun­da­ries. We deve­lop sys­tems that are spe­ci­fi­cal­ly opti­mi­zed for the requi­re­ments of Ger­man-spea­king count­ries, but at the same time sup­port inter­na­tio­nal com­mu­ni­ca­ti­on. With sup­port for Ger­man, Eng­lish and other lan­guages, our solu­ti­ons enable glo­bal busi­ness com­mu­ni­ca­ti­on wit­hout lan­guage bar­riers — from mul­ti­l­in­gu­al cus­to­mer ser­vice to mul­ti­l­in­gu­al ana­ly­tics sys­tems.
Our text mining solu­ti­ons iden­ti­fy hid­den pat­terns, cor­re­la­ti­ons and trends in lar­ge volu­mes of text. We deve­lop cus­to­mi­zed know­ledge dis­co­very sys­tems that ana­ly­ze unstruc­tu­red data and extra­ct valuable insights. From com­pe­ti­ti­ve ana­ly­sis to the detec­tion of emer­ging trends and the iden­ti­fi­ca­ti­on of rese­arch prio­ri­ties, our text mining solu­ti­ons trans­form unu­sed text data into stra­te­gic busi­ness infor­ma­ti­on.

Your advan­ta­ges

  • Auto­ma­ti­on of manu­al pro­ces­ses: Redu­ce time-con­sum­ing manu­al word pro­ces­sing and use your employees for value-adding acti­vi­ties.
  • Impro­ved cus­to­mer expe­ri­ence: Offer prompt, pre­cise and per­so­na­li­zed inter­ac­tions through intel­li­gent dia­lo­gue sys­tems.
  • Data-dri­ven decis­i­on making: Gain valuable insights from unstruc­tu­red text data to make infor­med busi­ness decis­i­ons.
  • Sca­la­bi­li­ty and con­sis­ten­cy: Pro­cess lar­ge volu­mes of text with con­sis­tent qua­li­ty and accu­ra­cy.
  • Com­pe­ti­ti­ve advan­ta­ge: Unlock new busi­ness poten­ti­al with advan­ced voice pro­ces­sing tech­no­lo­gies.

Tools & Plat­forms

  • Com­mer­cial NLP plat­forms: IBM Wat­son NLP, Micro­soft Azu­re Cogni­ti­ve Ser­vices, Ama­zon Com­pre­hend, Goog­le Cloud NLP — Com­pre­hen­si­ve cloud-based NLP ser­vices with robust API sup­port
  • Open source frame­works: spa­Cy, NLTK, Hug­ging Face Trans­for­mers, Rasa — Fle­xi­ble and cus­to­mizable libra­ri­es for spe­cia­li­zed NLP appli­ca­ti­ons
  • Spe­cia­li­zed models: BERT, GPT, RoBER­Ta, XLM-RoBER­Ta — sta­te-of-the-art lan­guage models for text com­pre­hen­si­on and gene­ra­ti­on
  • Ana­ly­sis tools: Ela­s­tic­se­arch, Kiba­na, Tableau, Power­BI — tools for the visua­liza­ti­on and ana­ly­sis of NLP results
  • Deve­lo­p­ment envi­ron­ments: Jupy­ter Note­books, Visu­al Stu­dio Code, PyCh­arm — Pro­duc­ti­ve envi­ron­ments for NLP deve­lo­p­ment and opti­miza­ti­on
With our Advan­ced Natu­ral Lan­guage Pro­ces­sing solu­ti­ons, you can unlock the untap­ped poten­ti­al of your text data and trans­form it into valuable busi­ness resour­ces. Our expe­ri­en­ced team of NLP spe­cia­lists, data sci­en­tists and indus­try experts will gui­de you from con­cep­ti­on to imple­men­ta­ti­on and con­ti­nuous opti­miza­ti­on of your lan­guage pro­ces­sing sys­tems. Cont­act us to find out how we can meet your spe­ci­fic NLP requi­re­ments.

Spe­cia­li­zed machi­ne lear­ning solu­ti­ons

Our spe­cia­li­zed machi­ne lear­ning solu­ti­ons offer com­pa­nies the oppor­tu­ni­ty to opti­mi­ze data-dri­ven decis­i­on-making pro­ces­ses and gain valuable insights from com­plex data sets.

Using sta­te-of-the-art algo­rith­ms and tech­no­lo­gies, we deve­lop cus­to­mi­zed models that are pre­cis­e­ly tail­o­red to your busi­ness requi­re­ments and crea­te mea­sura­ble com­pe­ti­ti­ve advan­ta­ges.

With our holi­stic con­sul­ting approach, we sup­port you throug­hout the enti­re life cycle of your machi­ne lear­ning pro­jects — from initi­al data ana­ly­sis and model deve­lo­p­ment through to pro­duc­ti­ve imple­men­ta­ti­on and con­ti­nuous opti­miza­ti­on.

Our expe­ri­en­ced data sci­en­tists and ML engi­neers com­bi­ne in-depth tech­ni­cal know-how with indus­try-spe­ci­fic under­stan­ding to deve­lop solu­ti­ons that gene­ra­te real added value for your com­pa­ny.

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Super­vi­sed Lear­ning

We deve­lop pre­cis­e­ly trai­ned models for clas­si­fi­ca­ti­on and pre­dic­tion-spe­ci­fic use cases. Our super­vi­sed lear­ning solu­ti­ons use labe­led trai­ning data to crea­te high­ly accu­ra­te pre­dic­ti­ve models tail­o­red to your spe­ci­fic busi­ness needs. From cus­to­mer churn fore­cas­ting and cre­dit risk ana­ly­sis to pre­dic­ti­ve main­ten­an­ce, our models pro­vi­de relia­ble decis­i­on sup­port for cri­ti­cal busi­ness pro­ces­ses and increase the effi­ci­en­cy of your ope­ra­ti­ons.

We iden­ti­fy hid­den pat­terns and struc­tures in com­plex data sets using inno­va­ti­ve clus­te­ring and dimen­si­on reduc­tion methods. Our unsu­per­vi­sed lear­ning solu­ti­ons make it pos­si­ble to gain valuable insights from unstruc­tu­red data wit­hout having to rely on pre-clas­si­fied trai­ning data. The­se approa­ches are par­ti­cu­lar­ly sui­ta­ble for mar­ket seg­men­ta­ti­on, anoma­ly detec­tion and explo­ra­to­ry data ana­ly­sis, whe­re they open up new per­spec­ti­ves and unco­ver pre­vious­ly undis­co­ver­ed cor­re­la­ti­ons.

We deve­lop self-opti­mi­zing sys­tems that con­stant­ly impro­ve their per­for­mance through expe­ri­ence and con­ti­nuous feed­back. Our rein­force­ment lear­ning approa­ches enable auto­no­mous decis­i­on-making sys­tems that can ope­ra­te in com­plex, dyna­mic envi­ron­ments. From pro­cess opti­miza­ti­on and auto­no­mous con­trol sys­tems to adap­ti­ve recom­men­da­ti­on algo­rith­ms — we imple­ment sys­tems that learn inde­pendent­ly to deve­lop opti­mal stra­te­gies and react to chan­ging con­di­ti­ons.
We use high­ly deve­lo­ped neu­ral net­works for com­plex reco­gni­ti­on and decis­i­on-making tasks that overtax con­ven­tio­nal algo­rith­ms. Our deep lear­ning solu­ti­ons excel in are­as such as image and speech reco­gni­ti­on, text under­stan­ding and com­plex pat­tern reco­gni­ti­on. Using archi­tec­tures such as Con­vo­lu­tio­nal Neu­ral Net­works (CNN), Recur­rent Neu­ral Net­works (RNN) and Trans­for­mer models, we deve­lop sys­tems that deli­ver human-like reco­gni­ti­on per­for­mance and con­ti­nuous­ly learn from new data.
We enable effi­ci­ent model deve­lo­p­ment by trans­fer­ring pre-trai­ned models to spe­ci­fic appli­ca­ti­on domains. Our trans­fer lear­ning approa­ches signi­fi­cant­ly redu­ce the need for trai­ning data and com­pu­ting resour­ces by trans­fer­ring know­ledge from exis­ting models to new domains. This acce­le­ra­tes deve­lo­p­ment time and enables powerful ML solu­ti­ons even with limi­t­ed data avai­la­bi­li­ty — ide­al for spe­cia­li­zed use cases or niche indus­tries with limi­t­ed trai­ning data.
We enable effi­ci­ent model deve­lo­p­ment by trans­fer­ring pre-trai­ned models to spe­ci­fic appli­ca­ti­on domains. Our trans­fer lear­ning approa­ches signi­fi­cant­ly redu­ce the need for trai­ning data and com­pu­ting resour­ces by trans­fer­ring know­ledge from exis­ting models to new domains. This acce­le­ra­tes deve­lo­p­ment time and enables powerful ML solu­ti­ons even with limi­t­ed data avai­la­bi­li­ty — ide­al for spe­cia­li­zed use cases or niche indus­tries with limi­t­ed trai­ning data.
We deve­lop trans­pa­rent and com­pre­hen­si­ble AI solu­ti­ons for sen­si­ti­ve busi­ness are­as whe­re explaina­bi­li­ty is cru­cial. Our XAI (Explainable Arti­fi­ci­al Intel­li­gence) approa­ches make decis­i­ons and pre­dic­tions of machi­ne lear­ning models under­stan­da­ble and com­pre­hen­si­ble for humans. Using tech­ni­ques such as LIME, SHAP and atten­ti­on mecha­nisms, we pro­vi­de insights into the decis­i­on-making pro­ces­ses of com­plex models — essen­ti­al for regu­la­ted indus­tries, cri­ti­cal use cases and to increase con­fi­dence in AI-sup­port­ed decis­i­ons.

Your advan­ta­ges

  • Cus­to­mi­zed solu­ti­ons: Cus­to­mi­zed ML models tail­o­red to your spe­ci­fic busi­ness requi­re­ments and data sets.
  • Data-dri­ven decis­i­on making: Sound busi­ness decis­i­ons based on pre­cise fore­casts and in-depth data ana­ly­ses.
  • Com­pe­ti­ti­ve edge: Deve­lo­p­ment of new busi­ness poten­ti­al and opti­miza­ti­on of exis­ting pro­ces­ses through advan­ced ML tech­no­lo­gies.
  • Sca­lable solu­ti­ons: ML sys­tems that grow with your com­pa­ny and con­ti­nuous­ly learn from new data.
  • Risk mini­miza­ti­on: Struc­tu­red deve­lo­p­ment metho­do­lo­gy with clear mile­sto­nes and con­ti­nuous vali­da­ti­on to ensu­re suc­cessful imple­men­ta­ti­ons.
  • Know­ledge trans­fer: Com­pre­hen­si­ve docu­men­ta­ti­on and trai­ning for your teams to deri­ve long-term added value from ML solu­ti­ons.

Tech­no­lo­gy port­fo­lio

  • ML frame­works: Ten­sor­Flow, PyTorch, sci­kit-learn, Ker­as, XGBoost — Powerful open source libra­ri­es for various ML use cases and model types
  • Cloud ML plat­forms: AWS Sage­Ma­ker, Goog­le Cloud AI Plat­form, Micro­soft Azu­re Machi­ne Lear­ning, IBM Wat­son — Sca­lable cloud infra­struc­tures for trai­ning and deploy­ment of ML models
  • Data Pro­ces­sing: Apa­che Spark, Dask, Pan­das, Num­Py — Effi­ci­ent data pre­pa­ra­ti­on and trans­for­ma­ti­on tools for ML work­flows
  • Explaina­bi­li­ty tools: SHAP, LIME, Cap­tum, Inter­pretML, AI Explana­bi­li­ty 360 — Frame­works for the ana­ly­sis and visua­liza­ti­on of model decis­i­ons
  • MLOps tools: MLf­low, Kube­flow, DVC, Weights & Bia­ses — plat­forms for ver­sio­ning, track­ing and auto­ma­ting ML work­flows
With our spe­cia­li­zed machi­ne lear­ning solu­ti­ons, we sup­port com­pa­nies in exploi­ting the full poten­ti­al of their data and deve­lo­ping inno­va­ti­ve, intel­li­gent appli­ca­ti­ons. Our inter­di­sci­pli­na­ry team of data sci­en­tists, ML engi­neers and domain experts will sup­port you from the initi­al con­cept pha­se through to the suc­cessful imple­men­ta­ti­on and con­ti­nuous impro­ve­ment of your ML sys­tems. We place par­ti­cu­lar empha­sis on prac­ti­cal solu­ti­ons that inte­gra­te seam­less­ly into your exis­ting IT land­scape and deli­ver mea­sura­ble busi­ness results.

Com­pu­ter Visi­on & Image Pro­ces­sing

Our com­pu­ter visi­on & image pro­ces­sing ser­vices enable com­pa­nies to intel­li­gent­ly ana­ly­ze visu­al data and gain valuable busi­ness insights.

By using sta­te-of-the-art AI tech­no­lo­gies, we auto­ma­te visu­al reco­gni­ti­on and ana­ly­sis pro­ces­ses that pre­vious­ly requi­red manu­al work and open up new are­as of appli­ca­ti­on for image-based decis­i­ons.

With our holi­stic con­sul­ting approach, we sup­port you throug­hout the enti­re life cycle of your com­pu­ter visi­on pro­jects — from the initi­al ana­ly­sis of poten­ti­al and stra­te­gic design through to seam­less inte­gra­ti­on into your exis­ting IT land­scape and long-term ope­ra­ti­on.

Our team of experts com­bi­nes in-depth know­ledge of deep lear­ning and image pro­ces­sing with indus­try-spe­ci­fic exper­ti­se to deve­lop cus­to­mi­zed solu­ti­ons that meet your spe­ci­fic requi­re­ments.

Network Security

Object reco­gni­ti­on & clas­si­fi­ca­ti­on

We deve­lop pre­cise sys­tems for the auto­ma­tic iden­ti­fi­ca­ti­on and clas­si­fi­ca­ti­on of objects in image and video mate­ri­al. Our object reco­gni­ti­on solu­ti­ons use sta­te-of-the-art con­vo­lu­tio­nal neu­ral net­works (CNNs) and advan­ced deep lear­ning archi­tec­tures to deli­ver relia­ble results even in com­plex sce­na­ri­os. From the reco­gni­ti­on of pro­ducts in retail to the iden­ti­fi­ca­ti­on of com­pon­ents in manu­fac­tu­ring to the ana­ly­sis of medi­cal ima­ging — our sys­tems auto­ma­te visu­al reco­gni­ti­on tasks with high pre­cis­i­on and speed.

Indus­tri­al qua­li­ty con­trol

Our AI-sup­port­ed visu­al inspec­tion sys­tems are revo­lu­tio­ni­zing qua­li­ty assu­rance in pro­duc­tion pro­ces­ses. By com­bi­ning high-reso­lu­ti­on came­ra sys­tems with spe­cia­li­zed deep lear­ning models, we deve­lop solu­ti­ons that relia­bly detect defects, anoma­lies and qua­li­ty devia­ti­ons — often with grea­ter accu­ra­cy than the human eye. Our sys­tems inte­gra­te seam­less­ly into exis­ting pro­duc­tion lines, enable real-time inspec­tion and con­tri­bu­te to signi­fi­cant cost savings through redu­ced reject rates and impro­ved pro­duct qua­li­ty.

Bio­me­tric authen­ti­ca­ti­on & facial reco­gni­ti­on

We imple­ment secu­re bio­me­tric authen­ti­ca­ti­on sys­tems in strict com­pli­ance with GDPR and other data pro­tec­tion regu­la­ti­ons. Our facial reco­gni­ti­on solu­ti­ons com­bi­ne high­ly accu­ra­te reco­gni­ti­on algo­rith­ms with robust secu­ri­ty mea­su­res such as liveness detec­tion and encrypt­ed data sto­rage. We place par­ti­cu­lar empha­sis on ethi­cal­ly respon­si­ble imple­men­ta­ti­ons with trans­pa­rent data pro­tec­tion con­cepts and inte­gra­te advan­ced anony­miza­ti­on and pseud­ony­miza­ti­on tech­ni­ques to pro­tect pri­va­cy.

Intel­li­gent docu­ment pro­ces­sing & OCR

Our intel­li­gent OCR (Opti­cal Cha­rac­ter Reco­gni­ti­on) solu­ti­ons trans­form docu­ment pro­ces­sing through auto­ma­ted text extra­c­tion and ana­ly­sis. We deve­lop cus­to­mi­zed sys­tems that not only extra­ct text from a wide varie­ty of docu­ment types, but can also under­stand and struc­tu­re con­tex­tu­al infor­ma­ti­on. From auto­ma­ted invoice pro­ces­sing and the digi­tiza­ti­on of old files to the reco­gni­ti­on of hand­writ­ten notes — our OCR solu­ti­ons increase the effi­ci­en­cy of your docu­ment-based pro­ces­ses and extra­ct valuable infor­ma­ti­on from unstruc­tu­red data.

Video ana­ly­sis & sur­veil­lan­ce

Our video ana­ly­tics solu­ti­ons enable the auto­ma­ted ana­ly­sis of video streams for secu­ri­ty and busi­ness appli­ca­ti­ons. We imple­ment intel­li­gent sys­tems for moti­on detec­tion, peo­p­le coun­ting, beha­vi­or ana­ly­sis and anoma­ly detec­tion in real time. Our solu­ti­ons sup­port both proac­ti­ve secu­ri­ty moni­to­ring and busi­ness appli­ca­ti­ons such as cus­to­mer flow ana­ly­sis in retail or pro­cess opti­miza­ti­on in logi­stics. All imple­men­ta­ti­ons are car­ri­ed out in strict com­pli­ance with data pro­tec­tion regu­la­ti­ons and with trans­pa­rent usa­ge gui­de­lines.

3D image pro­ces­sing & sce­ne recon­s­truc­tion

We deve­lop advan­ced solu­ti­ons for 3D image pro­ces­sing and sce­ne recon­s­truc­tion from 2D images or depth sen­sor data. Our sys­tems enable pre­cise spa­ti­al mea­su­re­ments, 3D object reco­gni­ti­on and the vir­tu­al recon­s­truc­tion of phy­si­cal envi­ron­ments. From indus­tri­al qua­li­ty con­trol to aug­men­ted rea­li­ty appli­ca­ti­ons and auto­no­mous navi­ga­ti­on — our 3D image pro­ces­sing solu­ti­ons open up a new dimen­si­on of visu­al data ana­ly­sis and enable inno­va­ti­ve appli­ca­ti­ons that go bey­ond the limits of clas­sic 2D image pro­ces­sing.

Your advan­ta­ges

  • Auto­ma­ti­on of manu­al pro­ces­ses: Redu­ce time-con­sum­ing visu­al inspec­tion and reco­gni­ti­on tasks with pre­cise AI-sup­port­ed image ana­ly­sis.
  • Increased qua­li­ty and con­sis­ten­cy: Achie­ve con­sis­t­ent­ly high reco­gni­ti­on rates wit­hout human fati­gue and sub­jec­ti­ve eva­lua­tions.
  • Cost effi­ci­en­cy: Lower ope­ra­ting cos­ts through opti­mi­zed pro­ces­ses and redu­ce error rates in pro­duc­tion and pro­ces­sing sequen­ces.
  • Sca­la­bi­li­ty: Pro­cess lar­ge amounts of visu­al data in real time with con­sis­tent per­for­mance and fle­xi­ble sca­ling.
  • Data pro­tec­tion com­pli­ant imple­men­ta­ti­on: Bene­fit from com­pu­ter visi­on solu­ti­ons that meet strict Euro­pean data pro­tec­tion stan­dards and uphold ethi­cal prin­ci­ples.
  • New busi­ness poten­ti­al: Open up inno­va­ti­ve are­as of appli­ca­ti­on and com­pe­ti­ti­ve advan­ta­ges through intel­li­gent image ana­ly­sis.

Tools & Plat­forms

  • Deep lear­ning frame­works: Ten­sor­Flow, PyTorch, Ker­as, ONNX — Powerful frame­works for the deve­lo­p­ment and imple­men­ta­ti­on of spe­cia­li­zed com­pu­ter visi­on models
  • Com­pu­ter visi­on libra­ri­es: Open­CV, sci­kit-image, Sim­ple­CV, Pil­low — Com­pre­hen­si­ve tool­kits for clas­sic and modern image pro­ces­sing tasks
  • Cloud plat­forms: AWS Reko­gni­ti­on, Goog­le Cloud Visi­on, Micro­soft Azu­re Com­pu­ter Visi­on, IBM Wat­son Visu­al Reco­gni­ti­on — sca­lable cloud ser­vices for rapid imple­men­ta­ti­ons
  • Edge com­pu­ting solu­ti­ons: NVIDIA Jet­son, Intel Open­VI­NO, Goog­le Coral, Qual­comm AI Engi­ne — Opti­mi­zed hard­ware and soft­ware for com­pu­ter visi­on at the net­work edge
  • Spe­cial hard­ware: Indus­tri­al came­ra sys­tems, ther­mal ima­ging came­ras, depth sen­sors, 3D scan­ners — high-qua­li­ty image cap­tu­re devices for various appli­ca­ti­on sce­na­ri­os
With our com­pu­ter visi­on & image pro­ces­sing solu­ti­ons, we are trans­forming the way com­pa­nies use and eva­lua­te visu­al data. Our inter­di­sci­pli­na­ry team of com­pu­ter visi­on spe­cia­lists, deep lear­ning experts and indus­try experts will accom­pa­ny you from the con­cept pha­se through pro­to­ty­pe deve­lo­p­ment to pro­duc­ti­ve imple­men­ta­ti­on. We place par­ti­cu­lar empha­sis on robust, prac­ti­cal solu­ti­ons that inte­gra­te seam­less­ly into your exis­ting sys­tems and deli­ver mea­sura­ble busi­ness results.

Gene­ra­ti­ve AI & Con­ver­sa­tio­nal AI

Our Gene­ra­ti­ve AI & Con­ver­sa­tio­nal AI ser­vices enable com­pa­nies to unlock the trans­for­ma­ti­ve poten­ti­al of intel­li­gent lan­guage sys­tems and gene­ra­ti­ve tech­no­lo­gies for their spe­ci­fic busi­ness needs.

With cus­to­mi­zed AI solu­ti­ons, we auto­ma­te com­mu­ni­ca­ti­on pro­ces­ses, increase the pro­duc­ti­vi­ty of your employees and crea­te new, inno­va­ti­ve cus­to­mer inter­ac­tions.

Our holi­stic con­sul­ting approach accom­pa­nies you throug­hout the enti­re life cycle of your AI pro­jects — from the initi­al ana­ly­sis of poten­ti­al and stra­te­gic design through to seam­less inte­gra­ti­on into your exis­ting IT land­scape and long-term ope­ra­ti­on.

Our agi­le metho­do­lo­gy allows us to react fle­xi­bly to chan­ging requi­re­ments and enables step-by-step deve­lo­p­ment that com­bi­nes con­ti­nuous pro­gress with mana­geable risk.

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GenAI solu­ti­ons

We deve­lop and inte­gra­te cus­to­mi­zed gene­ra­ti­ve AI models that enable text gene­ra­ti­on, image gene­ra­ti­on and crea­ti­ve appli­ca­ti­ons for your busi­ness. Our GenAI solu­ti­ons are based on advan­ced Lar­ge Lan­guage Models and can be cus­to­mi­zed to your spe­ci­fic requi­re­ments. From the auto­ma­ted crea­ti­on of mar­ke­ting con­tent to the gene­ra­ti­on of pro­duct descrip­ti­ons and the deve­lo­p­ment of crea­ti­ve design ele­ments — we imple­ment gene­ra­ti­ve AI sys­tems that auto­ma­te manu­al pro­ces­ses and expand the crea­ti­vi­ty of your teams.

Chat­bots and voice­bots

We imple­ment intel­li­gent dia­log sys­tems that under­stand natu­ral lan­guage and respond appro­pria­te­ly to cus­to­mer requests. Our chat­bots and voice­bots inte­gra­te seam­less­ly into your exis­ting com­mu­ni­ca­ti­on chan­nels — from cor­po­ra­te web­sites and social media to tele­pho­ne sys­tems. Using advan­ced natu­ral lan­guage pro­ces­sing, our bots reco­gni­ze cus­to­mer inten­ti­ons, have con­tex­tu­al con­ver­sa­ti­ons and pro­vi­de accu­ra­te respon­ses. They can auto­ma­te simp­le rou­ti­ne inqui­ries as well as reco­gni­ze com­plex requests and esca­la­te them to human employees when nee­ded.

RAG appli­ca­ti­ons

We deve­lop spe­cia­li­zed Retrie­val Aug­men­ted Gene­ra­ti­on (RAG) sys­tems that make your company’s inter­nal data effi­ci­ent­ly usable for gene­ra­ti­ve AI appli­ca­ti­ons. Our RAG solu­ti­ons com­bi­ne the strengths of lar­ge lan­guage models with pre­cise infor­ma­ti­on retrie­val sys­tems to gene­ra­te con­tex­tual­ly rele­vant and fac­tual­ly cor­rect ans­wers based on your own data sources. This makes it pos­si­ble to build AI appli­ca­ti­ons that not only ans­wer gene­ri­cal­ly, but also incor­po­ra­te com­pa­ny-spe­ci­fic know­ledge from inter­nal docu­ments, know­ledge data­ba­ses and struc­tu­red data sources — ide­al for know­ledge manage­ment, tech­ni­cal sup­port and inter­nal infor­ma­ti­on sys­tems.

AI assistants

We imple­ment intel­li­gent assis­tance sys­tems that sup­port your employees in their dai­ly tasks and auto­ma­te recur­ring pro­ces­ses. Our AI assistants can be inte­gra­ted into exis­ting work envi­ron­ments such as Micro­soft Teams, Slack or com­pa­ny por­tals and pro­vi­de con­tex­tu­al sup­port in real time. From auto­ma­ted respon­ses to inter­nal queries and rese­arch sup­port to intel­li­gent sche­du­ling and prio­ri­tiza­ti­on, our AI assistants increase the pro­duc­ti­vi­ty of your teams and allow them to focus on value-adding tasks.

Mul­ti­mo­dal AI sys­tems

We deve­lop advan­ced mul­ti­mo­dal AI solu­ti­ons that can pro­cess dif­fe­rent types of data such as text, images, audio and struc­tu­red data in com­bi­na­ti­on. The­se sys­tems enable com­plex use cases such as the ana­ly­sis of pro­duct images with simul­ta­neous con­side­ra­ti­on of cus­to­mer feed­back, the crea­ti­on of visu­al repre­sen­ta­ti­ons based on tex­tu­al descrip­ti­ons or the com­pre­hen­si­ve ana­ly­sis of mee­ting recor­dings. By inte­gra­ting dif­fe­rent moda­li­ties, we crea­te AI sys­tems that enable a deeper under­stan­ding of com­plex infor­ma­ti­on and offer holi­stic solu­ti­ons for deman­ding busi­ness requi­re­ments.

Enter­pri­se AI gover­nan­ce

We sup­port you in deve­lo­ping robust gover­nan­ce frame­works for the respon­si­ble use of gene­ra­ti­ve AI in your com­pa­ny. Our experts help you to defi­ne clear gui­de­lines for the use of AI sys­tems, iden­ti­fy poten­ti­al risks and imple­ment sui­ta­ble con­trol mecha­nisms. From deve­lo­ping ethi­cal gui­de­lines and imple­men­ting con­tent mode­ra­ti­on to ensu­ring data pro­tec­tion and com­pli­ance, we ensu­re that your AI initia­ti­ves are imple­men­ted respon­si­bly, trans­par­ent­ly and in line with regu­la­to­ry requi­re­ments.

Your advan­ta­ges

  • Increased effi­ci­en­cy: Auto­ma­ti­on of repe­ti­ti­ve tasks and acce­le­ra­ti­on of pro­ces­ses through intel­li­gent AI sys­tems.
  • Impro­ved cus­to­mer expe­ri­ence: 24/7 avai­la­bi­li­ty, fast respon­se times and per­so­na­li­zed inter­ac­tions through Con­ver­sa­tio­nal AI.
  • Know­ledge demo­cra­tiza­ti­on: Com­pa­ny-wide access to infor­ma­ti­on and exper­ti­se through intel­li­gent RAG sys­tems.
  • Cost reduc­tion: Signi­fi­cant savings through auto­ma­ti­on of sup­port requests and inter­nal pro­ces­ses.
  • Sca­la­bi­li­ty: Fle­xi­ble adapt­a­ti­on to incre­asing requi­re­ments wit­hout pro­por­tio­nal per­son­nel requi­re­ments.
  • Inno­va­ti­on poten­ti­al: Ope­ning up new busi­ness models and crea­ti­ve use cases through gene­ra­ti­ve AI tech­no­lo­gies.

Tools & Plat­forms

  • Gene­ra­ti­ve AI models: GPT‑4, Clau­de, Gemi­ni, Llama, Sta­ble Dif­fu­si­on — Powerful foun­da­ti­on models for text and image gene­ra­ti­on with various spe­cia­liza­ti­ons
  • Con­ver­sa­tio­nal AI frame­works: Rasa, Bot­press, Micro­soft Bot Frame­work, Dia­log­flow, Ama­zon Lex — Fle­xi­ble plat­forms for the deve­lo­p­ment of intel­li­gent dia­log sys­tems
  • Vec­tor Data­ba­ses: Pine­co­ne, Wea­via­te, Mil­vus, Chro­ma, Qdrant — Spe­cia­li­zed data­ba­ses for effi­ci­ent embed­ding manage­ment in RAG appli­ca­ti­ons
  • Deploy­ment & Orchestra­ti­on: Kuber­netes, Docker, MLf­low, Sel­don Core, Ben­toML — tools for the sca­lable pro­vi­si­on and manage­ment of AI ser­vices
  • Moni­to­ring & Eva­lua­ti­on: Weights & Bia­ses, TruEra, WhyLabs, Evi­dent­ly, Gis­kard — frame­works for moni­to­ring and qua­li­ty assu­rance of AI sys­tems
With our Gene­ra­ti­ve AI & Con­ver­sa­tio­nal AI solu­ti­ons, we trans­form the way com­pa­nies inter­act with cus­to­mers and employees and use know­ledge. Our inter­di­sci­pli­na­ry team of AI spe­cia­lists, con­ver­sa­tio­nal desi­gners and indus­try experts will sup­port you from the initi­al con­cept deve­lo­p­ment and tech­ni­cal imple­men­ta­ti­on through to the con­ti­nuous ope­ra­ti­on and opti­miza­ti­on of your AI sys­tems. We place par­ti­cu­lar empha­sis on the respon­si­ble use of the­se tech­no­lo­gies and deve­lop solu­ti­ons that are not only tech­no­lo­gi­cal­ly advan­ced, but also sup­port your busi­ness goals in the long term and deli­ver mea­sura­ble results.

AI inno­va­ti­on lab

Our AI inno­va­ti­on lab pro­vi­des a struc­tu­red frame­work for deve­lo­ping pio­nee­ring AI solu­ti­ons and explo­ring new appli­ca­ti­ons for your com­pa­ny. We com­bi­ne sta­te-of-the-art AI tech­no­lo­gies with agi­le inno­va­ti­on methods to offer you a safe space for expe­ri­men­ta­ti­on and at the same time achie­ve prac­ti­cal, value-adding results. As a cen­tral inter­face bet­ween theo­re­ti­cal rese­arch and con­cre­te appli­ca­ti­on, our AI inno­va­ti­on lab helps your com­pa­ny to gain a stra­te­gic advan­ta­ge in digi­tal com­pe­ti­ti­on.
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AI pro­to­ty­p­ing

We sup­port you in the rapid deve­lo­p­ment and test­ing of inno­va­ti­ve AI con­cepts. By using agi­le methods and sta­te-of-the-art deve­lo­p­ment envi­ron­ments, we can crea­te func­tion­al pro­to­ty­pes in a short space of time that ser­ve as a basis for fur­ther decis­i­ons and demons­tra­te the poten­ti­al of new tech­no­lo­gies at an ear­ly stage.

Pro­of-of-con­cept work­shops

In our inter­ac­ti­ve work­shops, we work tog­e­ther to deve­lop and vali­da­te new AI use cases for your com­pa­ny. The clo­se col­la­bo­ra­ti­on bet­ween your experts and our AI spe­cia­lists results in inno­va­ti­ve solu­ti­ons that are direct­ly tail­o­red to your spe­ci­fic busi­ness requi­re­ments and gene­ra­te imme­dia­te added value.

Tech­no­lo­gy show­ca­ses

We demons­tra­te cur­rent AI tech­no­lo­gies in prac­ti­cal sce­na­ri­os to give you a con­cre­te impres­si­on of the pos­si­bi­li­ties and limi­ta­ti­ons of dif­fe­rent approa­ches. The­se vivid demons­tra­ti­ons help you to make infor­med decis­i­ons about the use of AI tech­no­lo­gies in your com­pa­ny and to reco­gni­ze inno­va­ti­on poten­ti­al.

Inno­va­ti­on Sprints

Our inten­si­ve deve­lo­p­ment pha­ses focus on spe­ci­fic chal­lenges in your com­pa­ny and deli­ver tan­gi­ble results in a short space of time. Through the focu­sed use of inter­di­sci­pli­na­ry teams and the appli­ca­ti­on of estab­lished design thin­king methods, we deve­lop inno­va­ti­ve AI-sup­port­ed solu­ti­ons that can be inte­gra­ted direct­ly into your busi­ness con­text.

Co-Crea­ti­on

Col­la­bo­ra­ti­ve deve­lo­p­ment of tail­or-made AI solu­ti­ons with our cli­ents is at the heart of how we work. We belie­ve that the best results come from clo­se col­la­bo­ra­ti­on bet­ween our experts and your spe­cia­lists. This par­ti­ci­pa­ti­ve approach ensu­res that your employees’ domain know­ledge is com­bi­ned with our tech­no­lo­gi­cal know-how to crea­te solu­ti­ons that are opti­mal­ly tail­o­red to your busi­ness requi­re­ments. Through joint work­shops, regu­lar feed­back loops and trans­pa­rent com­mu­ni­ca­ti­on, we not only pro­mo­te the qua­li­ty of the solu­ti­ons deve­lo­ped, but also their accep­tance within your orga­niza­ti­on.

Your advan­ta­ges

  • Redu­ced inno­va­ti­on risk: Through struc­tu­red expe­ri­ments and ite­ra­ti­ve deve­lo­p­ment cycles, we mini­mi­ze the finan­cial and tech­ni­cal risk when intro­du­cing new AI tech­no­lo­gies.
  • Acce­le­ra­ted mar­ket launch: Our agi­le approach signi­fi­cant­ly shor­tens the path from idea to mar­ke­ta­ble pro­duct and gives you a com­pe­ti­ti­ve edge.
  • Prac­ti­cal tech­no­lo­gy test­ing: Test AI solu­ti­ons in rea­li­stic sce­na­ri­os befo­re making major invest­ments.
  • Com­pe­tence buil­ding: Your employees acqui­re valuable know­ledge in the field of AI and data sci­ence during the joint pro­jects.
  • Cul­tu­ral trans­for­ma­ti­on: The col­la­bo­ra­ti­on pro­mo­tes an inno­va­ti­on-fri­end­ly cor­po­ra­te cul­tu­re and increa­ses open­ness to digi­tal chan­ge pro­ces­ses.

Tools & Plat­forms

  • AI deve­lo­p­ment envi­ron­ments: Ten­sor­Flow, PyTorch, Azu­re ML, AWS Sage­Ma­ker, H2O.ai — Lea­ding frame­works and plat­forms for the deve­lo­p­ment and imple­men­ta­ti­on of machi­ne lear­ning and deep lear­ning models
  • Pro­to­ty­p­ing tools: Fig­ma, Ado­be XD, Sketch, InVi­si­on — Powerful design and visua­liza­ti­on tools for the rapid crea­ti­on of inter­ac­ti­ve pro­to­ty­pes
  • Col­la­bo­ra­ti­on plat­forms: MIRO, Con­fluence, Micro­soft Teams, Slack, JIRA — digi­tal tools for effi­ci­ent col­la­bo­ra­ti­on and trans­pa­rent pro­ject manage­ment
  • Open source tech­no­lo­gies: Jupy­ter Note­books, Sci­kit-learn, Hug­ging Face Trans­for­mers, Stream­lit — Fle­xi­ble and cost-effec­ti­ve solu­ti­ons for data ana­ly­sis and model deve­lo­p­ment
  • Visua­liza­ti­on tools: Tableau, Power BI, D3.js, Plot­ly — Powerful solu­ti­ons for the pre­pa­ra­ti­on and inter­ac­ti­ve pre­sen­ta­ti­on of com­plex data and ana­ly­sis results
Our AI inno­va­ti­on lab com­bi­nes crea­ti­ve brain­stor­ming with struc­tu­red imple­men­ta­ti­on, making it the ide­al plat­form for your digi­tal trans­for­ma­ti­on. With our exper­ti­se, we accom­pa­ny you on the path to inno­va­ti­ve, AI-sup­port­ed busi­ness models and pro­ces­ses that secu­re sus­tainable com­pe­ti­ti­ve advan­ta­ges for your com­pa­ny.

AI expert team

Our inter­di­sci­pli­na­ry team of AI experts com­bi­nes in-depth tech­ni­cal know-how with sound busi­ness under­stan­ding. We bring tog­e­ther high­ly spe­cia­li­zed experts who have mas­te­red the com­plex land­scape of arti­fi­ci­al intel­li­gence and use this exper­ti­se spe­ci­fi­cal­ly for your busi­ness suc­cess. With a holi­stic under­stan­ding of the tech­no­lo­gi­cal, ethi­cal and eco­no­mic aspects of AI, we sup­port you from stra­te­gic plan­ning through to the suc­cessful imple­men­ta­ti­on and sus­tainable ope­ra­ti­on of your AI solu­ti­ons.
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Data Sci­en­tists

Our spe­cia­lists in advan­ced data ana­ly­sis and model deve­lo­p­ment trans­form your data into valuable insights and pre­dic­ti­ve models. With in-depth know­ledge of sta­tis­tics, machi­ne lear­ning and deep lear­ning, they deve­lop cus­to­mi­zed algo­rith­ms that are tail­o­red to your busi­ness requi­re­ments. From data pre­pa­ra­ti­on, model trai­ning and vali­da­ti­on to con­ti­nuous opti­miza­ti­on, our data sci­en­tists ensu­re that your AI sys­tems are pre­cise, effi­ci­ent and sca­lable and crea­te mea­sura­ble added value for your com­pa­ny.

Data Sci­en­tists

Our spe­cia­lists in advan­ced data ana­ly­sis and model deve­lo­p­ment trans­form your data into valuable insights and pre­dic­ti­ve models. With in-depth know­ledge of sta­tis­tics, machi­ne lear­ning and deep lear­ning, they deve­lop cus­to­mi­zed algo­rith­ms that are tail­o­red to your busi­ness requi­re­ments. From data pre­pa­ra­ti­on, model trai­ning and vali­da­ti­on to con­ti­nuous opti­miza­ti­on, our data sci­en­tists ensu­re that your AI sys­tems are pre­cise, effi­ci­ent and sca­lable and crea­te mea­sura­ble added value for your com­pa­ny.

AI archi­tects

Our experts for desig­ning sca­lable AI infra­struc­tures crea­te robust and future-pro­of archi­tec­tures for your AI sys­tems. They com­bi­ne a deep under­stan­ding of the latest AI tech­no­lo­gies with pro­found know­ledge of sys­tem archi­tec­tures, data manage­ment and cloud infra­struc­tures. Our AI archi­tects take per­for­mance, sca­la­bi­li­ty, secu­ri­ty and main­taina­bi­li­ty requi­re­ments into account to crea­te holi­stic solu­ti­ons that can be seam­less­ly inte­gra­ted into your exis­ting IT land­scape and grow with your com­pa­ny.

MLOps engi­neers

Our ML model ope­ra­tio­na­liza­ti­on experts bridge the gap bet­ween deve­lo­p­ment and pro­duc­tion. They imple­ment auto­ma­ted pipe­lines for con­ti­nuous inte­gra­ti­on and deploy­ment (CI/CD) of AI models and ensu­re that your solu­ti­ons are relia­ble, main­tainable and sca­lable in pro­duc­tion. By using modern MLOps prac­ti­ces and tools, they opti­mi­ze the effi­ci­en­cy of the enti­re AI life­cy­cle — from model deve­lo­p­ment and deploy­ment to moni­to­ring and updating during ope­ra­ti­on.

Indus­try experts

Our con­sul­tants with a deep under­stan­ding of spe­ci­fic busi­ness are­as ensu­re that your AI solu­ti­ons are not only tech­ni­cal­ly excel­lent, but also opti­mal­ly ali­gned with your indus­try requi­re­ments. They know the spe­ci­fic chal­lenges, regu­la­to­ry frame­works and com­pe­ti­ti­ve fac­tors in your indus­try and help you to stra­te­gi­cal­ly deploy AI whe­re it offers the grea­test added value. Our indus­try experts act as a bridge bet­ween tech­no­lo­gy and busi­ness, ensu­ring that AI pro­jects are ali­gned with your over­all busi­ness objec­ti­ves.

AI ethi­cist

Our spe­cia­lists for respon­si­ble and com­pli­ant AI use ensu­re that your AI sys­tems fol­low ethi­cal prin­ci­ples and meet regu­la­to­ry requi­re­ments. They ana­ly­ze poten­ti­al risks such as bias in trai­ning data, lack of trans­pa­ren­cy or unin­ten­ded con­se­quen­ces and deve­lop mea­su­res to miti­ga­te them. Our AI ethi­cists imple­ment frame­works for respon­si­ble AI and ensu­re that your solu­ti­ons are not only effi­ci­ent, but also fair, trans­pa­rent, inclu­si­ve and com­pli­ant with rele­vant regu­la­ti­ons such as the plan­ned EU AI regu­la­ti­on.

Cyber­se­cu­ri­ty experts

Our experts for secu­ring AI appli­ca­ti­ons to the hig­hest stan­dards pro­tect your AI sys­tems against gro­wing thre­ats. They iden­ti­fy poten­ti­al vul­nerabi­li­ties in AI models and infra­struc­tures and imple­ment mul­ti-laye­red secu­ri­ty con­cepts to pro­tect sen­si­ti­ve data and algo­rith­ms. Through con­ti­nuous secu­ri­ty audits, pene­tra­ti­on tests and the imple­men­ta­ti­on of secu­ri­ty-by-design prin­ci­ples, our cyber­se­cu­ri­ty experts ensu­re that your AI solu­ti­ons are resi­li­ent against attacks and meet the hig­hest secu­ri­ty stan­dards.

Your advan­ta­ges

  • Inter­di­sci­pli­na­ry exper­ti­se: Access to a com­pre­hen­si­ve team of experts cove­ring all aspects of modern AI pro­jects — from data stra­tegy and model deve­lo­p­ment to secu­re imple­men­ta­ti­on.
  • Prac­ti­ce-ori­en­ted imple­men­ta­ti­on: Focus on prac­ti­cal solu­ti­ons ins­tead of theo­re­ti­cal con­cepts in order to gene­ra­te mea­sura­ble busi­ness value quick­ly.
  • Sca­lable solu­ti­ons: Deve­lo­p­ment of AI archi­tec­tures that grow with your requi­re­ments and adapt fle­xi­bly to chan­ging busi­ness con­di­ti­ons.
  • Risk mini­miza­ti­on: Com­pre­hen­si­ve con­side­ra­ti­on of secu­ri­ty, com­pli­ance and ethi­cal aspects to mini­mi­ze tech­ni­cal and busi­ness risks.
  • Know­ledge trans­fer: Tar­ge­ted deve­lo­p­ment of AI skills in your com­pa­ny through trai­ning and men­to­ring by our experts.
  • Acce­le­ra­ted value crea­ti­on: Fas­ter imple­men­ta­ti­on and ope­ra­tio­na­liza­ti­on of AI solu­ti­ons through pro­ven metho­do­lo­gies and best prac­ti­ces.

Tools & Plat­forms

  • Machi­ne Lear­ning & Deep Lear­ning: Ten­sor­Flow, PyTorch, sci­kit-learn, Ker­as, Hug­ging Face Trans­for­mers — Com­pre­hen­si­ve frame­works for the deve­lo­p­ment and imple­men­ta­ti­on of AI models of vary­ing com­ple­xi­ty
  • Cloud & Infra­struc­tu­re: AWS Sage­Ma­ker, Goog­le Ver­tex AI, Azu­re ML, Kube­flow, MLf­low — Powerful plat­forms for the deve­lo­p­ment, deploy­ment and manage­ment of AI appli­ca­ti­ons in the cloud
  • MLOps & Auto­ma­ti­on: Git­Hub Actions, Jenk­ins, Air­flow, Argo CD, Sel­don Core — tools for auto­ma­ting deve­lo­p­ment, test­ing and deploy­ment pro­ces­ses for AI models
  • Data ana­ly­sis & pre­pa­ra­ti­on: Pan­das, Num­Py, Spark, Dask, Gre­at Expec­ta­ti­ons — Effi­ci­ent frame­works for pro­ces­sing, cle­an­sing and trans­forming lar­ge amounts of data
  • Moni­to­ring & Obser­va­bi­li­ty: Pro­me­theus, Graf­a­na, Ten­sor­Board, Weights & Bia­ses — Com­pre­hen­si­ve tools for con­ti­nuous moni­to­ring and ana­ly­sis of AI sys­tems in pro­duc­ti­ve use
  • AI Secu­ri­ty & Gover­nan­ce: Adver­sa­ri­al Robust­ness Tool­box, AI Fair­ness 360, Model Cards, SHAP — Spe­cia­li­zed tools to ensu­re fair­ness, trans­pa­ren­cy and safe­ty in AI sys­tems
Our team of AI experts com­bi­nes com­ple­men­ta­ry exper­ti­se to pro­vi­de you with the hig­hest level of tech­no­lo­gi­cal excel­lence and busi­ness rele­van­ce. We see our­sel­ves not only as a tech­no­lo­gy sup­pli­er, but also as a stra­te­gic part­ner on your path to AI-sup­port­ed busi­ness trans­for­ma­ti­on. With our holi­stic approach, we accom­pa­ny you from the initi­al idea to the suc­cessful imple­men­ta­ti­on and con­ti­nuous opti­miza­ti­on of your AI solu­ti­ons.

AI gover­nan­ce, secu­ri­ty & com­pli­ance

Our com­pre­hen­si­ve AI gover­nan­ce ser­vices ensu­re that your AI sys­tems are not only powerful and inno­va­ti­ve, but also meet the hig­hest safe­ty, ethics and com­pli­ance stan­dards. We imple­ment robust gover­nan­ce frame­works that ensu­re trans­pa­ren­cy, accoun­ta­bi­li­ty and com­pli­ance at all stages of your AI life­cy­cle. Our holi­stic approach mini­mi­zes risk, pro­mo­tes respon­si­ble inno­va­ti­on and builds trust with cus­to­mers, employees and regu­la­tors.
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Data pro­tec­tion and com­pli­ance

We ensu­re that your AI solu­ti­ons meet all rele­vant data pro­tec­tion requi­re­ments and com­ply with the hig­hest ethi­cal prin­ci­ples. Our com­pli­ance experts ana­ly­ze regu­la­to­ry requi­re­ments, assess risks and imple­ment com­pre­hen­si­ve mea­su­res that go far bey­ond mere com­pli­ance with legal requi­re­ments. By inte­gra­ting data pro­tec­tion and com­pli­ance into every pha­se of AI deve­lo­p­ment and use, we crea­te a solid foun­da­ti­on for trust­wor­t­hy and sus­tainable AI appli­ca­ti­ons.

GDPR com­pli­ance

We ensu­re full com­pli­ance with Euro­pean data pro­tec­tion stan­dards in all AI imple­men­ta­ti­ons. Our experts con­duct detail­ed Data Pro­tec­tion Impact Assess­ments (DPIA), imple­ment appro­pria­te tech­ni­cal and orga­niza­tio­nal mea­su­res and ensu­re that your AI sys­tems respect the prin­ci­ples of data mini­miza­ti­on, pur­po­se limi­ta­ti­on and data sub­ject rights. Through con­ti­nuous review and adapt­a­ti­on, we ensu­re that your AI solu­ti­ons always remain GDPR-com­pli­ant, even in the event of regu­la­to­ry chan­ges.

Pri­va­cy by design

We inte­gra­te data pro­tec­tion prin­ci­ples into your AI sys­tems right from the start of deve­lo­p­ment. This proac­ti­ve approach ensu­res that pri­va­cy is not an aftert­hought, but a fun­da­men­tal design prin­ci­ple. Our experts defi­ne and imple­ment pri­va­cy-by-design requi­re­ments at every stage of the AI life­cy­cle — from data coll­ec­tion and pro­ces­sing to model deve­lo­p­ment, deploy­ment and moni­to­ring. Through this ear­ly inte­gra­ti­on, we avo­id cos­t­ly rework and crea­te pri­va­cy-fri­end­ly AI solu­ti­ons from the ground up.

Data eco­no­my

We mini­mi­ze data coll­ec­tion to the ext­ent neces­sa­ry, ther­eby redu­cing both com­pli­ance risks and infra­struc­tu­re cos­ts. Our spe­cia­lists ana­ly­ze your data requi­re­ments, iden­ti­fy red­un­dant or non-essen­ti­al data attri­bu­tes and imple­ment data reduc­tion stra­te­gies. Using tech­ni­ques such as data fil­te­ring, aggre­ga­ti­on, anony­miza­ti­on and pseud­ony­miza­ti­on, we ensu­re that your AI sys­tems get by with a mini­mum of per­so­nal data and are still pre­cise and effi­ci­ent.

Trans­pa­ren­cy

We ensu­re clear com­mu­ni­ca­ti­on about data use and algo­rith­mic decis­i­on-making. Our experts deve­lop under­stan­da­ble pri­va­cy poli­ci­es, terms of use and infor­ma­ti­on mate­ri­als that make com­plex AI pro­ces­ses com­pre­hen­si­ble for end users. By using explaina­bi­li­ty tools and imple­men­ting trans­pa­ren­cy mecha­nisms, we make algo­rith­mic decis­i­ons com­pre­hen­si­ble and thus pro­mo­te trust in your AI sys­tems among all stake­hol­ders.

Indus­try-spe­ci­fic com­pli­ance

We take into account spe­cial regu­la­to­ry requi­re­ments for various sec­tors such as finan­ce, health­ca­re or cri­ti­cal infra­struc­tu­re. Our com­pli­ance experts have in-depth know­ledge of indus­try and sec­tor-spe­ci­fic regu­la­ti­ons and stan­dards such as PCI DSS, HIPAA, MiFID II, Basel IV or the EU AI Regu­la­ti­on. By pre­cis­e­ly adap­ting our gover­nan­ce frame­works to your spe­ci­fic regu­la­to­ry con­text, we ensu­re that your AI solu­ti­ons com­ply with all rele­vant regu­la­ti­ons and mini­mi­ze legal risks.

Your advan­ta­ges

  • Legal cer­tain­ty: Mini­miza­ti­on of legal risks through proac­ti­ve com­pli­ance with all rele­vant data pro­tec­tion and indus­try regu­la­ti­ons.
  • Con­fi­dence buil­ding: Streng­thening the trust of cus­to­mers, employees and stake­hol­ders through trans­pa­rent and ethi­cal AI prac­ti­ces.
  • Com­pe­ti­ti­ve advan­ta­ge: Posi­tio­ning as a respon­si­ble com­pa­ny in an incre­asing­ly regu­la­ted mar­ket envi­ron­ment.
  • Sca­lable com­pli­ance: Future-pro­of gover­nan­ce frame­works that grow with new regu­la­to­ry requi­re­ments and AI appli­ca­ti­ons.
  • Risk mini­miza­ti­on: Ear­ly detec­tion and addres­sing of com­pli­ance and repu­ta­tio­nal risks in AI sys­tems.
  • Increased effi­ci­en­cy: Opti­mi­zed data sto­rage and pro­ces­sing through prin­ci­ples of data eco­no­my and ear­mark­ed data use.

Tools & Plat­forms

  • Data pro­tec­tion manage­ment: One­Trust, BigID, Data­Grail, Securiti.ai — Com­pre­hen­si­ve plat­forms for mana­ging data pro­tec­tion pro­ces­ses, data sub­ject rights and com­pli­ance work­flows
  • AI gover­nan­ce frame­works: IBM AI Fair­ness 360, Respon­si­ble AI Licen­se, Model Cards, Data­sheets for Data­sets — Struc­tu­red methods and tools for the docu­men­ta­ti­on and eva­lua­ti­on of AI models
  • Anony­miza­ti­on tools: ARX Data Anony­miza­ti­on Tool, Pri­vi­tar, Sta­ti­ce, Pri­va­cy Ana­ly­tics — Spe­cia­li­zed solu­ti­ons for the anony­miza­ti­on and pseud­ony­miza­ti­on of sen­si­ti­ve data
  • Audit & Moni­to­ring: AI Explaina­bi­li­ty 360, LIME, SHAP, Inter­pretML — tools for explaina­bi­li­ty, moni­to­ring and audi­ting of AI models
  • Com­pli­ance manage­ment: Hyper­pro­of, Metric­Stream, Logic­Ga­te, SAI360 — plat­forms for the auto­ma­ti­on of com­pli­ance pro­ces­ses and the inte­gra­ti­on of regu­la­to­ry requi­re­ments
  • Open source alter­na­ti­ves: PyDP (Python Dif­fe­ren­ti­al Pri­va­cy), Open­Mi­ned, Ten­sor­Flow Pri­va­cy, Awe­so­me Pri­va­cy — Cost-effi­ci­ent solu­ti­ons for inte­gra­ting data pro­tec­tion func­tions into AI sys­tems
Our AI gover­nan­ce, secu­ri­ty and com­pli­ance ser­vices form the foun­da­ti­on for the respon­si­ble and sus­tainable use of AI in your com­pa­ny. We com­bi­ne tech­ni­cal exper­ti­se with in-depth regu­la­to­ry know­ledge to not only ensu­re com­pli­ance, but also estab­lish trust and trans­pa­ren­cy as stra­te­gic com­pe­ti­ti­ve advan­ta­ges. With our sup­port, your AI sys­tems will beco­me dri­vers of ethi­cal inno­va­ti­on and sus­tainable busi­ness suc­cess.

AI ethics and respon­si­ble use

Our AI ethics and respon­si­ble use ser­vices pro­vi­de a com­pre­hen­si­ve frame­work for the deve­lo­p­ment and deploy­ment of ethi­cal­ly sound AI sys­tems. We help orga­niza­ti­ons inte­gra­te ethi­cal prin­ci­ples into their AI stra­te­gies and estab­lish respon­si­ble AI prac­ti­ces. Our team of experts deve­lo­ps cus­to­mi­zed frame­works to ensu­re that your AI sys­tems are not only tech­ni­cal­ly excel­lent, but also ethi­cal­ly sound and soci­al­ly accep­ta­ble.
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Fair­ness

We sup­port you in avo­i­ding bias and dis­cri­mi­na­ti­on in AI sys­tems through sys­te­ma­tic fair­ness ana­ly­ses and tar­ge­ted coun­ter­me­a­su­res. Our spe­cia­lists ana­ly­ze your trai­ning data, algo­rith­ms and model out­puts for poten­ti­al sources of bias and imple­ment advan­ced bias detec­tion and miti­ga­ti­on tech­ni­ques. Through con­ti­nuous fair­ness moni­to­ring and the inte­gra­ti­on of fair­ness metrics into your ML pipe­lines, we ensu­re that your AI sys­tems tre­at all user groups equal­ly and do not rein­force or crea­te unin­ten­tio­nal dis­cri­mi­na­ti­on.

Explaina­bi­li­ty

We pro­mo­te com­pre­hen­si­ble and inter­pr­e­ta­ble AI decis­i­ons by using sta­te-of-the-art Explainable AI (XAI) tech­no­lo­gies. Our experts help you to find the right com­pro­mi­se bet­ween model com­ple­xi­ty and inter­pr­e­ta­bi­li­ty and imple­ment cus­to­mi­zed explaina­bi­li­ty lay­ers for your AI sys­tems. By inte­gra­ting methods such as SHAP, LIME, fea­ture attri­bu­ti­on or atten­ti­on-based visua­liza­ti­on tech­ni­ques, we make com­plex algo­rith­ms trans­pa­rent and com­pre­hen­si­ble for various stake­hol­ders — from tech­ni­cal teams to end users.

Peo­p­le-cen­te­red approach

We design AI to sup­port, not replace, human decis­i­on-making and pro­mo­te har­mo­nious human-AI col­la­bo­ra­ti­on. Our experts deve­lop inter­ac­tion models in which AI sys­tems com­ple­ment and aug­ment human capa­bi­li­ties rather than replace them. By careful­ly defi­ning task dis­tri­bu­ti­ons, imple­men­ting appro­pria­te human over­sight and desig­ning intui­ti­ve human-machi­ne inter­faces, we crea­te AI solu­ti­ons that respect human auto­no­my and pro­vi­de real value to users and orga­niza­ti­ons.

Ethi­cal gui­de­lines

We sup­port the deve­lo­p­ment of and com­pli­ance with clear ethi­cal prin­ci­ples for AI appli­ca­ti­ons that are tail­o­red to your spe­ci­fic busi­ness requi­re­ments and values. Our gover­nan­ce experts will gui­de you through the for­mu­la­ti­on of com­pre­hen­si­ve ethi­cal gui­de­lines and the estab­lish­ment of ethics com­mit­tees or over­sight bodies. By inte­gra­ting ethi­cal prin­ci­ples into deve­lo­p­ment pro­ces­ses, trai­ning pro­grams and per­for­mance eva­lua­tions, we ensu­re that ethi­cal con­side­ra­ti­ons are not only docu­men­ted, but actual­ly lived and ancho­red in the dai­ly AI prac­ti­ce of your com­pa­ny.

Regu­lar review

We estab­lish pro­ces­ses to con­ti­nuous­ly assess the ethi­cal impli­ca­ti­ons of imple­men­ted AI sys­tems throug­hout their life­cy­cle. Our experts deve­lop struc­tu­red audit frame­works and con­duct regu­lar ethics assess­ments to ensu­re that your AI sys­tems con­ti­nue to meet ethi­cal requi­re­ments in the long term. By imple­men­ting ongo­ing moni­to­ring mecha­nisms, regu­lar stake­hol­der con­sul­ta­ti­ons and sys­te­ma­tic impact ana­ly­ses, we help you to iden­ti­fy ethi­cal risks at an ear­ly stage and address them proac­tively — even in the event of chan­ging busi­ness requi­re­ments or social expec­ta­ti­ons.

Your advan­ta­ges

  • Trust­wor­t­hy AI: Streng­thening the trust of cus­to­mers, employees and stake­hol­ders through ethi­cal­ly sound AI sys­tems.
  • Risk mini­miza­ti­on: Ear­ly iden­ti­fi­ca­ti­on and addres­sing of ethi­cal risks befo­re they beco­me repu­ta­tio­nal or busi­ness-dama­ging pro­blems.
  • Sus­tainable added value: Deve­lo­p­ment of AI solu­ti­ons that crea­te long-term busi­ness value and are soci­al­ly accep­ta­ble.
  • Com­pe­ti­ti­ve dif­fe­ren­tia­ti­on: Posi­tio­ning as an ethi­cal­ly respon­si­ble com­pa­ny in an incre­asing­ly cri­ti­cal mar­ket envi­ron­ment.
  • Hig­her accep­tance: Incre­asing user accep­tance through trans­pa­rent, fair and human-cen­te­red AI sys­tems.
  • Future secu­ri­ty: Pre­pa­ra­ti­on for upco­ming regu­la­to­ry requi­re­ments for ethi­cal AI, as pro­vi­ded for in the EU AI Regu­la­ti­on.

Tools & Plat­forms

  • Bias Detec­tion & Miti­ga­ti­on: IBM AI Fair­ness 360, Aequi­tas, Fair­Learn, What-If Tool — spe­cial tools for detec­ting and redu­cing bias in AI models
  • Explainable AI (XAI): SHAP, LIME, Inter­pretML, ELI5, Ali­bi — Advan­ced frame­works to explain com­plex model decis­i­ons for dif­fe­rent stake­hol­ders
  • Ethi­cal frame­works: EU Ethics Gui­de­lines for Trust­wor­t­hy AI, OECD AI Prin­ci­ples, IEEE Ethi­cal­ly Ali­gned Design — Inter­na­tio­nal­ly reco­gni­zed stan­dards and gui­de­lines for ethi­cal AI deve­lo­p­ment
  • Impact Assess­ment: Data Ethics Can­vas, Algo­rith­mic Impact Assess­ment Frame­work, Ethics & Algo­rithm Tool­kit — Struc­tu­red methods for asses­sing the ethi­cal impact of AI sys­tems
  • Gover­nan­ce Tools: Micro­soft RAI Tool­box, Goog­le Model Cards, Data­sheets for Data­sets — docu­men­ta­ti­on and gover­nan­ce tools for respon­si­ble AI deve­lo­p­ment
  • Open source inno­va­tions: AI Ethics Tool Kit, Deon, AllenNLP Inter­pret — Fle­xi­ble and cost-effec­ti­ve solu­ti­ons for inte­gra­ting ethi­cal prin­ci­ples into AI deve­lo­p­ment pro­ces­ses
Our approach to AI ethics and respon­si­ble use com­bi­nes sound ethi­cal prin­ci­ples with prac­ti­cal fea­si­bi­li­ty. We help you to use ethi­cal con­side­ra­ti­ons not as an obs­ta­cle but as a stra­te­gic advan­ta­ge and to deve­lop AI sys­tems that gene­ra­te both busi­ness value and social impact. With our sup­port, your com­pa­ny will beco­me a pio­neer for trust­wor­t­hy and ethi­cal­ly sound arti­fi­ci­al intel­li­gence — a decisi­ve com­pe­ti­ti­ve advan­ta­ge in an incre­asing­ly cri­ti­cal and regu­la­ted digi­tal world.

IT secu­ri­ty for AI sys­tems

Our spe­cia­li­zed IT secu­ri­ty ser­vices for AI sys­tems pro­vi­de com­pre­hen­si­ve pro­tec­tion for your AI invest­ments against the gro­wing land­scape of emer­ging thre­ats. We com­bi­ne in-depth know­ledge of AI-spe­ci­fic secu­ri­ty risks with pro­ven cyber­se­cu­ri­ty prac­ti­ces to deve­lop cus­to­mi­zed secu­ri­ty con­cepts that cover the enti­re AI life­cy­cle — from data acqui­si­ti­on to model trai­ning and pro­duc­tion deploy­ment. With a mul­ti-laye­red secu­ri­ty approach, we pro­tect your valuable AI resour­ces and ensu­re the inte­gri­ty, avai­la­bi­li­ty and con­fi­den­tia­li­ty of your AI-based busi­ness pro­ces­ses.
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Model safe­ty

We imple­ment com­pre­hen­si­ve mea­su­res to pro­tect AI models against mani­pu­la­ti­on and theft. Our experts deve­lop robust pro­tec­tion con­cepts that safe­guard intellec­tu­al pro­per­ty and ensu­re the inte­gri­ty of your models. Using tech­ni­ques such as model encryp­ti­on, water­mar­king, access con­trol and secu­re API design, we pro­tect your valuable AI assets from unaut­ho­ri­zed access and misu­se. By imple­men­ting anoma­ly detec­tion and run­time moni­to­ring, we also iden­ti­fy sus­pi­cious acti­vi­ty that could indi­ca­te model tam­pe­ring, enab­ling a rapid respon­se to poten­ti­al secu­ri­ty inci­dents.

Data sove­reig­n­ty

We ensu­re con­trol over your sen­si­ti­ve busi­ness data through modern data pro­tec­tion tech­no­lo­gies and robust gover­nan­ce mea­su­res. Our secu­ri­ty experts imple­ment com­pre­hen­si­ve data clas­si­fi­ca­ti­on, encryp­ti­on and access con­trol sys­tems that cover the enti­re data life­cy­cle. We sup­port you in estab­li­shing clear data usa­ge poli­ci­es and imple­men­ting tech­ni­cal con­trols that enforce com­pli­ance with the­se poli­ci­es. By using data lineage track­ing, detail­ed audit logs and advan­ced data mas­king, we ensu­re that you retain full trans­pa­ren­cy and con­trol over your data at all times.

Attack resis­tance

We pro­tect your AI sys­tems against adver­sa­ri­al attacks and other AI-spe­ci­fic thre­ats with spe­cia­li­zed defence mecha­nisms. Our secu­ri­ty experts car­ry out sys­te­ma­tic vul­nerabi­li­ty ana­ly­ses and imple­ment robust defen­se stra­te­gies against tar­ge­ted attacks such as model inver­si­on, mem­ber­ship infe­rence or data poi­so­ning. Through regu­lar pene­tra­ti­on tests and red team exer­ci­s­es, we check the resi­li­ence of your AI sys­tems under rea­li­stic thre­at sce­na­ri­os. With tech­ni­ques for defen­si­ve pro­gramming, input vali­da­ti­on and adver­sa­ri­al trai­ning, we increase the robust­ness of your models and mini­mi­ze the attack sur­face for poten­ti­al atta­ckers.

Zero Trust Archi­tec­tu­re

We imple­ment strict access con­trols and authen­ti­ca­ti­on mecha­nisms accor­ding to the prin­ci­ple “Never trust, always veri­fy”. Our experts design tail­or-made zero-trust archi­tec­tures for your AI infra­struc­tu­re that ensu­re con­ti­nuous authen­ti­ca­ti­on, aut­ho­riza­ti­on and encryp­ti­on at all levels. Through the fine-grai­ned defi­ni­ti­on of access pri­vi­le­ges, the estab­lish­ment of least pri­vi­le­ge prin­ci­ples and the imple­men­ta­ti­on of mul­ti-fac­tor authen­ti­ca­ti­on, we crea­te a mul­ti-laye­red secu­ri­ty sys­tem that effec­tively pre­vents unaut­ho­ri­zed access to your AI resour­ces and limits the impact of poten­ti­al secu­ri­ty brea­ches.

Con­ti­nuous secu­ri­ty moni­to­ring

We ensu­re proac­ti­ve moni­to­ring for sus­pi­cious acti­vi­ties and secu­ri­ty inci­dents through spe­cia­li­zed AI secu­ri­ty moni­to­ring solu­ti­ons. Our secu­ri­ty ope­ra­ti­ons experts imple­ment com­pre­hen­si­ve moni­to­ring sys­tems that cap­tu­re and ana­ly­ze AI-spe­ci­fic indi­ca­tors of com­pro­mi­se. By inte­gra­ting AI moni­to­ring into exis­ting SIEM (Secu­ri­ty Infor­ma­ti­on and Event Manage­ment) solu­ti­ons and deve­lo­ping cus­to­mi­zed dash­boards and aler­ting mecha­nisms, we enable ear­ly detec­tion of poten­ti­al secu­ri­ty thre­ats. With auto­ma­ted respon­se pro­ces­ses and defi­ned inci­dent respon­se plans, we ensu­re that secu­ri­ty inci­dents are addres­sed quick­ly and effec­tively.

Your advan­ta­ges

  • Com­pre­hen­si­ve pro­tec­tion: Cove­ring all secu­ri­ty-rele­vant aspects of the AI life­cy­cle from data acqui­si­ti­on to pro­duc­ti­ve use.
  • Risk mini­miza­ti­on: Signi­fi­cant reduc­tion of secu­ri­ty risks through spe­cia­li­zed defen­si­ve mea­su­res against AI-spe­ci­fic thre­ats.
  • Com­pli­ance secu­ri­ty: Com­pli­ance with legal and regu­la­to­ry requi­re­ments for the secu­ri­ty of AI sys­tems and data.
  • Trust­wort­hi­ness: Incre­asing the trust of cus­to­mers and part­ners through demons­tra­b­ly secu­re AI sys­tems.
  • Know­ledge trans­fer: Buil­ding inter­nal safe­ty skills for AI through trai­ning and best-prac­ti­ce sha­ring.
  • Com­pe­ti­ti­ve advan­ta­ge: Posi­tio­ning as a pio­neer in the safe use of AI tech­no­lo­gies.

Tools & Plat­forms

  • Model attack simu­la­tors: Adver­sa­ri­al Robust­ness Tool­box (ART), Cle­ver­hans, Fool­box, Text­At­tack — Spe­cia­li­zed frame­works for simu­la­ting attacks on AI models and eva­lua­ting their robust­ness
  • Model pro­tec­tion: Ten­sor­Flow Pri­va­cy, PyTorch Cryp­ten, Open­Mi­ned, Cryp­Ten — Advan­ced libra­ri­es for dif­fe­ren­ti­al pri­va­cy, fede­ra­ted lear­ning and encrypt­ed com­pu­ta­ti­on
  • Safe­ty moni­to­ring: Ela­s­tic Stack, Splunk, Dark­trace, Micro­soft Sen­ti­nel — Powerful SIEM solu­ti­ons with spe­cia­li­zed modu­les for detec­ting anoma­lies in AI sys­tems
  • Access con­trol: Azu­re AD, Okta, Key­cloak, Vault by Hash­i­Corp — Robust solu­ti­ons for iden­ti­ty and access manage­ment with fine-grai­ned con­trol opti­ons
  • Data gover­nan­ce: Col­li­bra, Infor­ma­ti­ca, Apa­che Atlas, One­Trust — Com­pre­hen­si­ve plat­forms for data cata­lo­ging, lineage track­ing and poli­cy manage­ment
  • Open source secu­ri­ty tools: OWASP ML Top 10, MLSec Pro­ject, Ten­sor­Flow Model Ana­ly­sis — Cost-effi­ci­ent solu­ti­ons for basic secu­ri­ty requi­re­ments of AI sys­tems
Our AI ethics and respon­si­ble use ser­vices pro­vi­de a com­pre­hen­si­ve frame­work for the deve­lo­p­ment and deploy­ment of ethi­cal­ly sound AI sys­tems. We help orga­niza­ti­ons inte­gra­te ethi­cal prin­ci­ples into their AI stra­te­gies and estab­lish respon­si­ble AI prac­ti­ces. Our team of experts deve­lo­ps cus­to­mi­zed frame­works to ensu­re that your AI sys­tems are not only tech­ni­cal­ly excel­lent, but also ethi­cal­ly sound and soci­al­ly accep­ta­ble.

EU AI Act & Com­pli­ance

The EU AI Act, which was pas­sed in 2024, sets clear frame­work con­di­ti­ons for the use of AI sys­tems. Our experts sup­port you in com­ply­ing with all regu­la­to­ry requi­re­ments and gui­de you through the com­plex pro­cess of EU AI Act com­pli­ance. With a prac­ti­ce-ori­en­ted approach, we help you to trans­la­te legal requi­re­ments into spe­ci­fic tech­ni­cal and orga­niza­tio­nal mea­su­res and make your AI sys­tems future-pro­of and legal­ly com­pli­ant.
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Risk assess­ment

We car­ry out a com­pre­hen­si­ve clas­si­fi­ca­ti­on of your AI appli­ca­ti­ons in accordance with the EU AI Act and deter­mi­ne their risk cate­go­ry. Our com­pli­ance experts sys­te­ma­ti­cal­ly ana­ly­ze your AI sys­tems and assign them to the appro­pria­te risk cate­go­ries: unac­cep­ta­ble risk, high risk, limi­t­ed risk or mini­mal risk. Based on this cate­go­riza­ti­on, we iden­ti­fy the spe­ci­fic regu­la­to­ry requi­re­ments that app­ly to your sys­tems and deve­lop tail­o­red com­pli­ance stra­te­gies. By asses­sing risks at an ear­ly stage, you avo­id cos­t­ly rework and crea­te a solid foun­da­ti­on for legal­ly com­pli­ant AI use.

Docu­men­ta­ti­on

We sup­port you in crea­ting the neces­sa­ry tech­ni­cal docu­men­ta­ti­on that meets the requi­re­ments of the EU AI Act. Our spe­cia­lists deve­lop struc­tu­red docu­men­ta­ti­on tem­pla­tes and sup­port you in sys­te­ma­ti­cal­ly recor­ding all rele­vant infor­ma­ti­on about your AI sys­tems. From the descrip­ti­on of the deve­lo­p­ment pro­cess to the data sets used and risk manage­ment mea­su­res — we ensu­re that your docu­men­ta­ti­on is com­ple­te, pre­cise and sui­ta­ble for audits by the aut­ho­ri­ties. With our sup­port, the docu­men­ta­ti­on obli­ga­ti­on is trans­for­med from an annoy­ing bur­den into a valuable tool for qua­li­ty assu­rance and trans­pa­ren­cy of your AI sys­tems.

Trans­pa­ren­cy

We imple­ment trans­pa­ren­cy mecha­nisms in accordance with the requi­re­ments of the EU AI Act to ensu­re the neces­sa­ry dis­clo­sure to users. Our experts deve­lop cus­to­mi­zed solu­ti­ons for trans­pa­rent com­mu­ni­ca­ti­on with end users, inclu­ding under­stan­da­ble gui­dance on AI usa­ge, infor­ma­ti­on on per­for­mance limi­ta­ti­ons and poten­ti­al risks. We imple­ment tech­ni­cal mecha­nisms for the tracea­bi­li­ty of AI decis­i­ons and crea­te user-fri­end­ly docu­men­ta­ti­on. By cle­ver­ly inte­gra­ting trans­pa­ren­cy mecha­nisms into your user inter­faces, you not only meet regu­la­to­ry requi­re­ments, but also streng­then your cus­to­mers’ trust in your AI appli­ca­ti­ons.

Human super­vi­si­on

We sup­port you in desig­ning appro­pria­te over­sight struc­tures for AI sys­tems in accordance with the requi­re­ments of the EU AI Act. Our gover­nan­ce experts deve­lop clear respon­si­bi­li­ties, escala­ti­on paths and inter­ven­ti­on mecha­nisms for human over­sight of your AI sys­tems. We design user-fri­end­ly inter­faces that enable human review­ers to under­stand, eva­lua­te and inter­ve­ne in AI decis­i­ons whe­re neces­sa­ry. By inte­gra­ting human-in-the-loop con­cepts into your AI pro­ces­ses, we not only ensu­re regu­la­to­ry com­pli­ance but also impro­ve the qua­li­ty and accep­tance of your AI-based decis­i­ons.

Con­ti­nuous review

We estab­lish pro­ces­ses to regu­lar­ly check com­pli­ance with the chan­ging requi­re­ments of the EU AI Act. Our com­pli­ance experts deve­lop sys­te­ma­tic audit plans and imple­ment moni­to­ring mecha­nisms that enable con­ti­nuous moni­to­ring of the com­pli­ance of your AI sys­tems. Through regu­lar reviews, auto­ma­ted com­pli­ance checks and proac­ti­ve updates to your com­pli­ance stra­te­gies, we ensu­re that your AI appli­ca­ti­ons remain legal­ly com­pli­ant even as regu­la­to­ry requi­re­ments chan­ge. With our approach to con­ti­nuous com­pli­ance assu­rance, you mini­mi­ze legal risks and crea­te a solid basis for the sus­tainable use of AI tech­no­lo­gies in your com­pa­ny.

Your advan­ta­ges

  • Legal cer­tain­ty: Mini­miza­ti­on of legal risks through com­pre­hen­si­ve com­pli­ance with all requi­re­ments of the EU AI Act.
  • Com­pe­ti­ti­ve advan­ta­ge: Posi­tio­ning as a trust­wor­t­hy and legal­ly com­pli­ant pro­vi­der or user of AI tech­no­lo­gies.
  • Cost effi­ci­en­cy: Avo­id expen­si­ve rework by inte­gra­ting com­pli­ance requi­re­ments into the deve­lo­p­ment pro­cess at an ear­ly stage.
  • Mar­ket access: Ensu­ring the mar­ke­ta­bi­li­ty of your AI pro­ducts in the Euro­pean Eco­no­mic Area.
  • Risk mini­miza­ti­on: Sys­te­ma­tic iden­ti­fi­ca­ti­on and addres­sing of com­pli­ance risks pri­or to mar­ket launch.
  • Future secu­ri­ty: Estab­li­shing sus­tainable com­pli­ance pro­ces­ses that can adapt to future requi­re­ments.

Tools & Plat­forms

  • Com­pli­ance manage­ment: One­Trust GRC, Metric­Stream AI Gover­nan­ce, Qmu­los, IBM Open­Pages — Com­pre­hen­si­ve plat­forms for mana­ging regu­la­to­ry requi­re­ments and com­pli­ance pro­ces­ses
  • Risk assess­ment tools: EU AI Act Risk Assess­ment Tool­kit, AI Risk Manage­ment Frame­work (NIST), AI Risk & Impact Assess­ment — Spe­cia­li­zed frame­works for the sys­te­ma­tic assess­ment of AI risks
  • Trans­pa­ren­cy & explaina­bi­li­ty: LIME, SHAP, Inter­pretML, AI Explaina­bi­li­ty 360 — Tech­ni­cal solu­ti­ons for explai­ning AI decis­i­ons and incre­asing trans­pa­ren­cy
  • Docu­men­ta­ti­on tools: Data­sheets for Data­sets, Model Cards, Docu­men­ta­ti­on for Machi­ne Lear­ning Pro­jects — Struc­tu­red tem­pla­tes and tools for regu­la­to­ry com­pli­ant docu­men­ta­ti­on
  • Audit & Moni­to­ring: Fair­ness Indi­ca­tors, Ten­sor­Board, ML Test Score, AI Veri­fi­ca­ti­on Tools — solu­ti­ons for con­ti­nuous veri­fi­ca­ti­on and moni­to­ring of AI sys­tems
  • Open source alter­na­ti­ves: Open Ethics Frame­work, Respon­si­ble AI Tool­box, Free EU AI Act Com­pli­ance Check­list — cost-effi­ci­ent solu­ti­ons for basic com­pli­ance requi­re­ments
Our EU AI Act com­pli­ance ser­vices com­bi­ne in-depth regu­la­to­ry know­ledge with tech­ni­cal exper­ti­se and prac­ti­cal expe­ri­ence. We trans­la­te com­plex legal requi­re­ments into actionable mea­su­res and gui­de you through the enti­re com­pli­ance pro­cess — from initi­al risk assess­ment to ongo­ing com­pli­ance assu­rance. With our sup­port, com­pli­ance with the EU AI Act beco­mes not just a legal neces­si­ty, but a stra­te­gic advan­ta­ge in an incre­asing­ly regu­la­ted mar­ket envi­ron­ment.

Let Com­pu­ter­BUT­LER pro­vi­de you with pro­fes­sio­nal advice on how to use your IT resour­ces effi­ci­ent­ly and with an eye to the future.

Your suc­cess is our rea­li­ty — we sup­port you with every chall­enge. Tog­e­ther we crea­te sus­tainable and inno­va­ti­ve solu­ti­ons for your IT needs.

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AI as a value-adding fac­tor: quan­ti­fia­ble suc­cess for your com­pa­ny

From cost fac­tor to return on invest­ment:
How modern AI solu­ti­ons mea­sur­a­b­ly refi­nan­ce your invest­ment

Our AI imple­men­ta­ti­ons always aim to deli­ver con­cre­te, mea­sura­ble busi­ness bene­fits. You can achie­ve the fol­lo­wing results through the stra­te­gic use of AI:

Ope­ra­tio­nal excel­lence

  • Pro­cess effi­ci­en­cyReduc­tion in through­put times for busi­ness-cri­ti­cal pro­ces­ses by an avera­ge of 40–60%
  • Degree of auto­ma­ti­onIncrease the auto­ma­ti­on level of repe­ti­ti­ve tasks up to 85%
  • Resour­ce opti­miza­ti­onMore effi­ci­ent use of exis­ting capa­ci­ties through intel­li­gent resour­ce allo­ca­ti­on
  • Error reduc­tionReduc­tion of manu­al error rates by up to 90% through pre­cise AI-sup­port­ed pro­ces­ses
  • Sca­la­bi­li­tyFle­xi­ble growth wit­hout a pro­por­tio­nal increase in resour­ce requi­re­ments

Com­pe­ti­ti­ve advan­ta­ges

  • Data-based decis­i­on-making: Infor­med busi­ness decis­i­ons through AI-powered ana­ly­tics and fore­cas­ting
  • Cus­to­mer cen­tri­ci­ty: Per­so­na­li­zed cus­to­mer expe­ri­en­ces through intel­li­gent ana­ly­sis of pre­fe­ren­ces and beha­viou­ral pat­terns
  • Acce­le­ra­ting inno­va­ti­on: fas­ter deve­lo­p­ment and mar­ket launch of new pro­ducts and ser­vices
  • Mar­ket respon­si­ve­ness: impro­ved agi­li­ty and fas­ter adapt­a­ti­on to mar­ket chan­ges
  • Digi­tal dif­fe­ren­tia­ti­on: set­ting yours­elf apart from the com­pe­ti­ti­on through inno­va­ti­ve AI-sup­port­ed Busi­ness models

Finan­cial per­for­mance

  • Cost reduc­tion: Reduc­tion of ope­ra­ting cos­ts by an avera­ge of 20–30% through intel­li­gent auto­ma­ti­on
  • Incre­asing sales: Tap­ping into new sales poten­ti­al through impro­ved cus­to­mer expe­ri­ence and data-dri­ven sales stra­te­gies
  • ROI opti­miza­ti­on: demons­tra­ble return on AI invest­ments within 12–24 months
  • Risk mini­miza­ti­on: Reduc­tion of finan­cial los­ses through pre­dic­ti­ve risk ana­ly­ses
  • Invest­ment effi­ci­en­cy: Tar­ge­ted use of capi­tal through data-based decis­i­on sup­port

Our metho­di­cal imple­men­ta­ti­on approach

Suc­cessful AI pro­jects requi­re a struc­tu­red and holi­stic approach. Our pro­ven imple­men­ta­ti­on model gui­des you through all pha­ses of AI inte­gra­ti­on — from the initi­al stra­te­gic ana­ly­sis to the con­ti­nuous evo­lu­ti­on of your solu­ti­on. The metho­di­cal­ly sound pro­cess mini­mi­zes risks and maxi­mi­zes busi­ness value, while our agi­le approach allows us to react fle­xi­bly to chan­ging requi­re­ments.

1. stra­te­gic AI con­sul­ting and poten­ti­al ana­ly­sis

In this fun­da­men­tal initi­al pha­se, we work with you to iden­ti­fy the most pro­mi­sing are­as of AI appli­ca­ti­on in your com­pa­ny. Through a tho­rough ana­ly­sis of your cur­rent pro­ces­ses, data sets and stra­te­gic goals, we crea­te a solid foun­da­ti­on for your AI trans­for­ma­ti­on. We quan­ti­fy the expec­ted added value and deve­lop a rea­li­stic, cus­to­mi­zed imple­men­ta­ti­on path.

  • AI rea­di­ness assess­ment: Tho­rough eva­lua­ti­on of your tech­no­lo­gi­cal and orga­niza­tio­nal requi­re­ments
  • Use case iden­ti­fi­ca­ti­on: Sys­te­ma­tic iden­ti­fi­ca­ti­on of the most pro­mi­sing AI use cases for your com­pa­ny
  • Busi­ness case deve­lo­p­ment: quan­ti­fi­ca­ti­on of expec­ted bene­fits and ROI cal­cu­la­ti­on
  • Data stra­tegy deve­lo­p­ment: Desig­ning a holi­stic data stra­tegy as the basis for suc­cessful AI initia­ti­ves
  • Road­map crea­ti­on: Defi­ni­ti­on of a struc­tu­red imple­men­ta­ti­on path with clear mile­sto­nes and suc­cess cri­te­ria

2. con­cep­ti­on and pro­of-of-con­cept

Based on the stra­te­gic preli­mi­na­ry work, we con­cre­ti­ze your AI solu­ti­on in this pha­se. We deve­lop a detail­ed con­cept and imple­ment a func­tion­al pro­to­ty­pe that is vali­da­ted under real con­di­ti­ons. This ear­ly prac­ti­cal test­ing pro­vi­des valuable insights, mini­mi­zes pro­ject risks and crea­tes con­fi­dence among all par­ties invol­ved in the fea­si­bi­li­ty and bene­fits of the plan­ned solu­ti­on.

  • Requi­re­ments ana­ly­sis: Detail­ed recor­ding of func­tion­al and tech­ni­cal requi­re­ments
  • Data inven­to­ry ana­ly­sis: eva­lua­ti­on of exis­ting data sources in terms of qua­li­ty, com­ple­ten­ess and rele­van­ce
  • Archi­tec­tu­re design: deve­lo­p­ment of a sca­lable and future-pro­of sys­tem archi­tec­tu­re
  • Pro­to­ty­pe deve­lo­p­ment: imple­men­ta­ti­on of a func­tion­al mini­mal via­ble pro­duct (MVP)
  • Vali­da­ti­on: Test­ing of the con­cept using real busi­ness sce­na­ri­os and adapt­a­ti­on based on feed­back

3. sca­lable imple­men­ta­ti­on and inte­gra­ti­on

Once the pro­of of con­cept has been suc­cessful­ly vali­da­ted, your AI solu­ti­on is ful­ly imple­men­ted. Thanks to our agi­le deve­lo­p­ment approach with regu­lar ite­ra­ti­ons and feed­back loops, we remain fle­xi­ble and can con­ti­nuous­ly make adjus­t­ments. We pay par­ti­cu­lar atten­ti­on to seam­less inte­gra­ti­on into your exis­ting IT land­scape as well as opti­mal per­for­mance and sca­la­bi­li­ty.

  • Agi­le deve­lo­p­ment: Ite­ra­ti­ve imple­men­ta­ti­on in mana­geable deve­lo­p­ment cycles
  • Data inte­gra­ti­on: con­nec­ting rele­vant data sources and ensu­ring con­sis­tent data flows
  • Sys­tem inte­gra­ti­on: Seam­less inte­gra­ti­on into exis­ting IT land­scape and busi­ness pro­ces­ses
  • Per­for­mance opti­miza­ti­on: fine-tuning for maxi­mum per­for­mance and effi­ci­en­cy
  • Qua­li­ty assu­rance: Com­pre­hen­si­ve tests to ensu­re func­tion­a­li­ty, safe­ty and relia­bi­li­ty

4. chan­ge manage­ment and know­ledge trans­fer

The suc­cess of AI pro­jects depends cru­ci­al­ly on the accep­tance and com­pe­tence of the users. In this pha­se, we gui­de your orga­niza­ti­on through the chan­ge pro­cess and ensu­re that all tho­se invol­ved are opti­mal­ly pre­pared. Through struc­tu­red trai­ning, clear com­mu­ni­ca­ti­on and careful know­ledge trans­fer, we crea­te the con­di­ti­ons for sus­tainable use and fur­ther deve­lo­p­ment of the imple­men­ted solu­ti­on.

  • Stake­hol­der manage­ment: invol­ving all rele­vant inte­rest groups in the trans­for­ma­ti­on pro­cess
  • Employee trai­ning: Com­pre­hen­si­ve trai­ning for end users and tech­ni­cal staff
  • Docu­men­ta­ti­on: Crea­ti­on of detail­ed tech­ni­cal and user docu­men­ta­ti­on
  • Pro­mo­ting accep­tance: Tar­ge­ted mea­su­res to pro­mo­te user accep­tance and over­co­me resis­tance
  • Capa­ci­ty buil­ding: Enab­ling inter­nal teams to inde­pendent­ly deve­lop and sup­port the sys­tems

5. con­ti­nuous opti­miza­ti­on and evo­lu­ti­on

AI sys­tems are not sta­tic solu­ti­ons, but are con­stant­ly evol­ving. In the final pha­se, we estab­lish pro­ces­ses for the ongo­ing moni­to­ring, opti­miza­ti­on and fur­ther deve­lo­p­ment of your AI solu­ti­on. By regu­lar­ly retrai­ning the models, inte­gra­ting user feed­back and adap­ting to new requi­re­ments, we ensu­re that your AI invest­ment crea­tes added value in the long term and grows with your com­pa­ny.

  • Per­for­mance moni­to­ring: Con­ti­nuous moni­to­ring of sys­tem per­for­mance and qua­li­ty of results
  • Model retrai­ning: Regu­lar updating of ML models with new data
  • Feed­back inte­gra­ti­on: Con­ti­nuous impro­ve­ment based on user feed­back
  • Tech­no­lo­gy updates: Inte­gra­ti­on of the latest AI tech­no­lo­gies and methods
  • Sca­ling manage­ment: adap­ting solu­ti­ons to gro­wing requi­re­ments and user num­bers

Fur­ther AI appli­ca­ti­on are­as from prac­ti­ce

Dis­tri­bu­ti­on

  • Auto­ma­tic bro­ke­ring of sales leads
  • Opti­mi­zed pri­cing
  • Real-time recom­men­da­ti­ons for spe­ci­fic cus­to­mer groups through pat­tern reco­gni­ti­on
  • Auto­ma­ted cus­to­mer ser­vice agents with lan­guage under­stan­ding
  • Cross-sel­ling and upsel­ling through intel­li­gent cus­to­mer ana­ly­sis
  • Auto­ma­tic oppor­tu­ni­ty scoring
  • Pre­cise clo­sing fore­casts

Mar­ke­ting

  • Intel­li­gent chat­bots in cus­to­mer ser­vice
  • Reduc­tion of time spent on inter­nal reports
  • Increase in ad per­for­mance
  • Impro­ve­ment of con­tent mar­ke­ting
  • Optimization/support in the crea­ti­on of text con­tent
  • Real-time ana­ly­sis of cus­to­mer beha­vi­or
  • Opti­miza­ti­on of cus­to­mer under­stan­ding
  • Indi­vi­dua­li­zed news­let­ters based on usa­ge and purcha­sing beha­vi­or

HR

  • Digi­tal recruit­ment assistants and video inter­view tools
  • Pro­fi­le ana­ly­ses for the fur­ther deve­lo­p­ment of employees
  • Care­er assistants for indi­vi­du­al coa­ching and trai­ning recom­men­da­ti­ons
  • Sup­port in the sel­ec­tion and eva­lua­ti­on of appli­cants
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Our AI exper­ti­se for your indus­try

Cus­to­mi­zed AI solu­ti­ons for sus­tainable com­pe­ti­ti­ve advan­ta­ges in your mar­ket seg­ment

Our prac­ti­cal approach to AI pro­jects

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01. requi­re­ments ana­ly­sis

  • Pro­cess ana­ly­sis and review of the “data world”
  • Recei­ving requi­re­ments and under­stan­ding the data, input/output
  • Defi­ni­ti­on of IT tar­get image and solu­ti­on con­cept

02 Report­ing & per­for­mance mea­su­re­ment

  • Ana­ly­sis of suc­cess (e.g. error rate), vali­da­ti­on of busi­ness case
  • Decis­i­on regar­ding the pur­su­it of fur­ther use cases
  • Defi­ni­ti­on of requi­re­ments
  • Tran­si­ti­on to Appli­ca­ti­on Life­cy­cle Manage­ment

03. imple­men­ta­ti­on

  • Defi­ni­ti­on, adapt­a­ti­on and crea­ti­on of IT com­pon­ents (agi­le approach)
  • Inte­gra­ti­on into the exis­ting IT land­scape (estab­li­shing con­nec­ti­vi­ty bet­ween the customer’s sys­tem and the AI plat­form)
  • Test­ing and GoLi­ve

04 Appli­ca­ti­on Life­cy­cle Manage­ment

  • Sta­bi­liza­ti­on through pro­fes­sio­nal IT and user sup­port
  • Con­ti­nuous impro­ve­ment and appli­ca­ti­on life cycle manage­ment
  • Regu­lar review of func­tion­a­li­ty and impro­ve­ment

The path to AI matu­ri­ty: sha­ping trans­for­ma­ti­on

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01 Start­ing signal in the direc­tion of AI

  • Ana­ly­sis of your cur­rent situa­ti­on and data infra­struc­tu­re
  • Deve­lo­ping an under­stan­ding of AI poten­ti­al
  • Iden­ti­fi­ca­ti­on of the first pro­mi­sing use cases

02. tar­ge­ted expe­ri­men­ta­ti­on

  • Sel­ec­tion and imple­men­ta­ti­on of pro­of-of-con­cepts
  • Deve­lo­p­ment of initi­al AI capa­bi­li­ties in the com­pa­ny
  • Coll­ec­tion of expe­ri­en­ces and les­sons lear­ned

03. deve­lo­p­ment of com­pa­ny-wide AI exper­ti­se

  • Stan­dar­diza­ti­on of AI deve­lo­p­ment and ope­ra­ting pro­ces­ses
  • Deve­lo­p­ment of inter­nal AI teams and com­pe­ten­ci­es
  • Deve­lo­p­ment of a com­pa­ny-wide AI stra­tegy

04 AI exper­ti­se as part of the DNA of com­pa­nies

  • AI as an inte­gral part of the cor­po­ra­te stra­tegy
  • Data-dri­ven decis­i­on-making at all levels
  • Con­ti­nuous inno­va­ti­on through AI