
Inviscid AI
Real-time Building Simulations to Optimize Energy and Operational…
Verdict
Inviscid AI is one of the more underrated companies in this batch. Kabir Jain's credentials are exceptional for an undergrad: Gold IOAI, NeurIPS + ICLR spotlight papers, MIT JuliaLabs physics-informed ML, and PUB Singapore storm surge forecasting — the exact problem domain he is now commercializing. Qiu Ziming brings rigorous math/CS depth (NUS 5.0 GPA, double honors). The product has real named customers: a Kajima pilot, a signed government MOU at a state data center in India, and verifiable customer success results. The market (data center cooling, building energy) is large and urgent given AI infrastructure buildout. Competition from incumbents is real but the physics-first approach is a genuine technical edge that rules-based BMS systems cannot replicate. Biggest risks: both founders are still undergrads, go-to-market in enterprise facilities management is slow, and pilot conversions to paid contracts are unconfirmed.