GenData

Causal AI for Customer Analytics

Production-grade causal AI that turns unstructured customer feedback into quantified cause-and-effect insights — at population scale, with confidence intervals.

Product — the GenData Causal Engine

One causal engine. From feedback to levers. The GenData Causal Engine turns unstructured customer feedback into quantified cause-and-effect evidence — which drivers move which outcomes, for whom, and by how much.

Now: Automotive. Built and validated on millions of real-world automotive customer experiences. Runs fully on-premises — locally on your own infrastructure, not in the cloud. See the interactive product demo in the Lab.

Soon: Cross-industry. The same causal engine, opened to new industries — pharma, hospitality, retail and beyond.

Method

From raw text to audited cause: 01 Extract · 02 Structure · 03 Identify · 04 Validate & simulate.

Founder

Moritz Gentner — Founder & Managing Director. Eight years at a global premium OEM — management consulting, aftersales, working directly with top management. Profile: LinkedIn — Moritz Gentner. Company page: LinkedIn — GenData. More: About & Team.

Company

GenData UG (haftungsbeschränkt), registered in Germany (HRB 8896). Part of the TUM Venture Labs ecosystem. Member of the Microsoft for Startups programme. Imprint / Impressum · Contact · Privacy.