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