Better, faster engineering.

Enter the era of AI-powered product data management.

Turning engineering conflicts into value-chain opportunities

Manufacturing companies experience

Long and costly engineering

Launching new product or optimising product portfolio is a loing and costly process because legacy systems (CAD, ERP, PLM) fail to reconcile product data

Misses AI opportunities

The enterprise data being stuck in old databases, it makes it impossible to implement powerful AI projects

No e2e Value-chain information

Information through the value chain is lost. Then follow compliance, quality and procurement issues

Join the innovators


Tesla custom developed an end-to-end Product structure platform to enable the ramp-up for the Model 3


Michelin created the knowledge graph to allow unification of R&D (material) and Engineering data for hybrid development with AI

Us army

The US Army could not stand its slow and inflexible PLM and BOM. So it built a data layer on top of its system to unleash AI capabilities on their equipments

Who we are

Deon van der Vyver


> 20y of solution building

Michaël Valentin


Tesla expert, Stellantis

Renan Devillières


Ex Google,ex manufacturing director

Luc Leroy


ex director of automation at Tesla