Fainite AI is Advancing Physics-Based Simulations

Fainite AI, a physics AI engine empowering your engineering teams to run simulations in seconds and set up workflows in minutes, led by Alex Donzelli, Prof. Burigede Liu, Matthias Bonvin, and the team, has raised €165,000 (CHF 150,000) from Venture Kick to advance physics-based simulations and expand access to advanced engineering analysis across a wider range of applications.

Modern hardware and materials development relies on physics-based simulations that are often slow and compute-intensive, increasing costs and delaying product cycles. As a result, simplified models are used, limiting real-world accuracy and overall performance.

Fainite delivers a physics-aware AI platform that accelerates simulations, enables rapid workflow setup, and reuses prior results through physics-informed models.

An integrated AI agent guides complex analysis while preserving physical accuracy.

The company targets the roughly 9 million hardware engineers impacted by simulation bottlenecks, initially concentrating on complex engineering challenges that general-purpose AI models are not designed to solve.

The new funding will expand the technology into additional engineering domains, accelerate the launch of a scalable next-generation platform, and strengthen team growth and go-to-market efforts to drive enterprise adoption.