Pulse 2.0: Hardik Kabaria on the Future of Physics Intelligence
5.20.2026 | By Vinci
Originally published on Pulse 2.0 by Amit Chowdhry | May 20, 2026.
In this Pulse 2.0 interview, Hardik Kabaria discusses the company’s origins, the technical motivation behind building a foundation model for physics, and how Vinci is working to make physics continuously computable inside engineering workflows. The conversation covers Vinci’s evolution from core thermal capability to a broader production-grade platform, along with the long-term shift from episodic simulation to continuous physics infrastructure.
The article covers Hardik Kabaria’s background, the founding of Vinci, the company’s technical direction, and the broader problem Vinci is trying to solve in engineering software. It also discusses Vinci’s current capabilities in thermal conduction and thermo-mechanical analysis, the challenge of changing entrenched simulation workflows, and the company’s long-term vision for making physics more continuously available in design and manufacturing environments.
"One of the most important shifts happening right now is that physics is moving from a scarce capability controlled by a very small group of highly specialized experts to a more continuous part of engineering workflows."
Key takeaways from the coverage:
Vinci is positioned around a broader shift in engineering: moving physics from an episodic specialist workflow to a more continuous part of product design.
The interview highlights the need for systems that can work on full-fidelity, manufacturing-scale designs while remaining reliable enough for real engineering use.
Hardik describes Vinci’s current focus on thermal conduction and thermo-mechanical analysis, along with the company’s goal of expanding across more physics domains and industries over time.
The piece also emphasizes secure deployment, deterministic behavior, and operation without customer-specific retraining as important parts of Vinci’s approach.
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.
