Inviscid AI
Inviscid AI is a YC Winter 2026 (W26) company. Based in Remote. Team of 2.
About Inviscid AI
Summary
Inviscid AI builds an agentic physics simulation engine for industrial facilities, data centers, and energy systems. It combines live IoT sensor data with computational fluid dynamics solvers to run continuous thermal and airflow simulations, replacing work that previously required a specialist to manually set up each case and ran only periodically. Facilities engineers and building operators get real-time answers on heat distribution, ventilation, and equipment behavior without the lag of quarterly simulation cycles.
Business model
Not specified in the sources.
Go-to-market
The platform targets facilities managers and engineering teams in industrials, buildings, and energy, offering both an agentic one-off analysis product and a continuous live-control product; prospects can book a demo directly from the website.
From the Y Combinator listing
Real-time Physics Simulations for Industrial Facilities & Data Centers
Inviscid AI builds physics-informed AI solutions that transform how buildings and data centers operate. By combining real-time IoT sensor data with computational fluid dynamics (CFD) modeling, we create digital twins that simulate building performance in real time and autonomously optimize operations. Our platform optimizes airflow patterns and ventilation strategies to eliminate dead zones, improve air distribution, and reduce the load on mechanical systems. On the energy side, we minimize HVAC power consumption, reduce cooling costs, and lower overall operational expenses while maintaining optimal thermal comfort and indoor air quality. Beyond immediate operational efficiency, we optimize equipment scheduling and maintenance cycles by predicting system behavior under different conditions, allowing facilities managers to proactively address issues before they become problems. Our physics first approach ensures that we're not just optimizing against historical patterns, but optimizing based on a deep understanding of how air, heat, and energy actually move through your building, enabling us to find solutions that traditional rule-based or purely data-driven systems would miss.
Facts
- Industrials / Industrials -> Energy
- Remote
- 2
- Active
- Early
Founders (1)
- Kabir Jain
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