In many companies, processes are documented — but not the experiential knowledge behind them: which exceptions matter, how risks become recognizable, and why certain decisions are made the way they are. Implix captures this knowledge before experienced employees leave the company. The result is structured, reusable, and ready for handovers, onboarding, and day-to-day work.
The founding team behind Implix combines over eight years of applied research at the University of Applied Sciences Zwickau with operational experience from building their own software company. Software was not just conceived, but built, operated, and continuously refined under real conditions. Implix is funded by the European Union and the Free State of Saxony.
In projects with mid-sized companies, the same weak point kept emerging: the problem was not access to knowledge, but its systematic capture. Decision knowledge lived in people's heads, not in systems. Implix is a platform for structured knowledge management in the mid-market, developed in Saxony from this insight.
AI & Business Development
Completed his doctorate at the intersection of business informatics and AI, focusing on Predictive Intelligence and the integration of data-driven methods into business decision processes. Long-standing researcher at the University of Applied Sciences Zwickau, now responsible for AI conception and business development at Implix.
Technical Product Development & Platform
Computer scientist and technology manager specialising in cloud architecture, data pipelines, and scalable SaaS systems. Extensive experience in designing and operating high-availability software systems, now responsible for the technological foundation of the Implix platform.
AI & Technical Product Development
Experienced full-stack developer with a focus on product architecture, software quality, and UX. Deep expertise in agile development processes and the delivery of complex software projects, now responsible for product development and technical implementation at Implix.
One knowledge area is often enough to make visible which experiential knowledge exists and where critical gaps are forming.