We are sup­por­ting com­pa­nies by hel­ping them to inte­gra­te arti­fi­cial intel­li­gen­ce into their processes.

Our offer is divi­ded into two parts:


  • Con­sul­ting. We help com­pa­nies to iden­ti­fy poten­tial AI use cases by inter­viewing pro­cess experts and defi­ning AI roadmaps.

  • When we iden­ti­fy a poten­tial use case, we build a custom solu­tion using our machi­ne lear­ning algorithms.

The com­bi­na­tion of the con­sul­ting and pro­duct deve­lo­p­ment acti­vi­ties allo­ws us to inte­gra­te the domain-spe­ci­fic kno­w­led­ge of our clien­ts and build solu­tions with high impact. This impact is essen­tial in order to build tru­st with the algo­ri­thm and faci­li­ta­te its accep­tan­ce within the organization.


Our solu­tions use three kinds of technologies:

  • Com­pu­ter Vision. We use deep lear­ning to detect objec­ts or clas­si­fy auto­ma­ti­cal­ly images.

Use Cases:

  • Auto­ma­tic visual con­trol on a pro­duc­tion line.

  • Auto­ma­tic fish coun­ting on a fishing boat.


  • Natu­ral Lan­gua­ge Pro­ces­sing. We use deep lear­ning to extract insights from tex­ts and clas­si­fy documents.

Use Cases:

  • Auto­ma­tic clas­si­fi­ca­tion of emails.

  • Auto­ma­tic clas­si­fi­ca­tion of custo­mer cases in a con­tact center.


  • Fore­ca­sting. We use machi­ne lear­ning to pro­vi­de pre­dic­tions based on struc­tu­red data.

  • Pre­dic­tion of the num­ber of custo­mer orders.

  • Pre­dic­tion of churn probability.

  • Pre­dic­tion of cross-sel­ling pur­cha­se probability.

Unter­neh­me­rin­nen und Unternehmer