Backed by Y Combinator W26

AI Cooling Simulations that save HVAC costs for

The Problem

You simulate once a quarter.
Physics changes every second.

Traditional CFD simulations take hours, cost thousands, and deliver results that are outdated by the time you read them. Facility operators run blind, guessing at airflow and heat distribution across millions of square feet.

40%of global energy goes to buildings

30%+of that energy wasted on inefficient HVAC

Hoursfor a single traditional CFD simulation

Benefits

Measurable impact from day one.

30%+energy savings

Cut energy costs

AI-optimized HVAC control reduces cooling energy consumption by 30%+ without compromising thermal comfort or uptime.

BeforeWith Inviscid AI

Cooling Energy (kW)12-Week Window

Week 1Week 12

36%+Average energy cost reduction across portfolio

1000×Faster simulation than traditional CFD

<90dTime to measurable ROI from first deployment

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Digital Twin

Physics-informed AI, built for the real world.

Inviscid AI's digital twin technology doesn't just model your building. It learns it. Our physics-informed neural networks continuously adapt to real operational data, so every recommendation gets smarter over time.

Real-time airflow & thermal simulation
Continuous learning from BMS, meters, and IoT sensors
Setpoint recommendations pushed straight to your BMS

The most accurate physics AI in the world.

Benchmarked against every major neural operator architecture on standard PDE datasets. Inviscid AI sets a new state-of-the-art for physics-informed machine learning.

Accuracy Benchmark · L2 Error · Lower is Better

Inviscid AI

0.028

FNO (-interp)

0.083

Gt-Transformer

0.079

Geo-FNO

0.082

OFormer

0.065

GNOT

0.045