Advanced Compute

Vinci

Vinci’s Physics AI foundation model combines AI acceleration with deterministic solver accuracy to deliver full manufacturing-resolution simulations. 

Vinci was founded in 2023 by Dr. Hardik Kabaria and Dr. Sarah Osentoski with a singular vision: to build the Physics AI foundation model that understands and respects the laws of physics natively, transforming how matter is designed and manufactured. They believed engineers should be able to innovate at a speed and scale once unimaginable — not constrained by solvers, compute limits, or weeks-long iteration cycles. Vinci’s scalable, enterprise-grade system removes those barriers, empowering a single engineer to do what once required entire teams. 

Vinci is already delivering end-to-end automation for full-fidelity physics simulation — from ingesting native design files to generating mesh to producing solver-accurate results with no manual intervention. The system achieves manufacturing-grade accuracy at scale and runs more than 1000× faster than traditional solutions. It works entirely out of the box, with no customer-data training or tuning, and is deployed in production today with leading semiconductor and systems companies.

Today, Vinci supports two core physics domains — conduction and thermo-elasticity — at full manufacturing resolution. Over the coming quarters, the platform will expand to incorporate more than ten additional physics, spanning electrical, mechanical, thermal, and multi-field interactions. In parallel, Vinci’s intelligence will deepen: from precisely identifying where problems occur, to recommending corrective actions, to ultimately modifying design files directly. Vinci’s foundation model is evolving from high-fidelity simulation to closed-loop, autonomous design optimization.