Originally published on SemiWiki by Daniel Nenni | April 12, 2026
News
Electronics For You: A Startup Building An AI Copilot For Physics
News
SemiWiki: Vinci CEO Hardik Kabaria on AI, Physics, and Semiconductor Design
4.15.2026 | By Vinci, Sarah Osentoski
In this SemiWiki interview, Vinci CEO Hardik Kabaria discusses why engineering requires AI systems that are repeatable, physically grounded, and usable in production workflows. The conversation explores Vinci’s approach to deterministic, solver-grounded physics infrastructure in semiconductor engineering environments.
Read the full article
What does Hardik Kabaria discuss in this interview?
Hardik discusses why physical engineering systems require AI that is repeatable, physically grounded, and usable inside real production workflows. The interview also explains how Vinci is approaching semiconductor design environments where validation, engineering fidelity, and operational reliability matter.
"The idea is not to build a separate model for every domain or dataset, but a single physics model capable of deterministic reasoning across many designs and operating conditions."
Hardik Kabaria
CEO, Vinci
Key takeaways from the conversation:
- AI for physical systems needs a higher standard than plausibility alone. In engineering workflows, outputs need to be grounded, repeatable, and usable in environments where real design decisions are being made.
- The interview explains Vinci’s view that physics should become a more continuous part of the engineering workflow rather than remaining a narrow, specialist bottleneck.
- It also highlights a broader market shift: applying AI to design and manufacturing environments where engineering fidelity and production use matter.
How is Vinci applying AI to semiconductor engineering workflows?
Vinci is building systems that bring physics into engineering workflows in a more operational way, with an emphasis on determinism, engineering fidelity, and production use. In the interview, Hardik frames this as part of a broader shift from isolated simulation steps toward a more continuous physics layer inside semiconductor design and manufacturing processes.
About Vinci
Vinci is a frontier lab building the foundation model for the physical world. Its deterministic, solver-grounded systems make physics continuously computable inside production engineering workflows and are already running on flagship programs, shifting physics from an episodic simulation bottleneck to continuous infrastructure for design, manufacturing, and reliability decisions.
Related Links
Explore related Vinci resources on deterministic physics infrastructure and production engineering workflows.
