AI startup Vinci is using artificial intelligence to dramatically reshape one of the most exacting domains of engineering: physics-based hardware design. In this TechVoices interview, co-founder and CEO Hardik Kabaria explains how the company is building a “physics reasoning layer” that applies AI not to language or graphics, but to deterministic physical laws governing heat, stress, and material behavior.

By grounding its models directly in first-principles physics equations, Vinci aims to make advanced simulation accessible across engineering teams, dramatically accelerate design cycles, and enable companies to analyze complex hardware systems at manufacturing-level fidelity without sacrificing accuracy or intellectual property security. The discussion explores Vinci’s newly released thermo-mechanical simulation capability for predicting hardware warpage, the difference between probabilistic AI and solver-grade physics intelligence, and how physics-aware AI could fundamentally alter how hardware products are designed and validated.