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Navier AI is making CFD 1000x faster with their ML-based solver. Physics simulations, such as Computational Fluid Dynamics (CFD), are essential across many industries ranging from the design and analysis of aircraft, to weather prediction, to the development of medical devices. Today’s simulation tools use explicit numerical solvers for physical equations, such as the Naiver-Stokes equations. These solvers are complex to setup and can take ages to produce results. Navier AI is building 1000x faster simulations using physics-ML solvers. Navier AI's fast CFD platform will enable engineers to quickly explore design spaces and perform analysis-in-the-loop design optimization. They are lowering the barrier to entry for aerospace and mechanical engineers to create high performance designs.

Poka Labs is developing an AI platform to automate operations tasks in chemical manufacturing, beginning with production scheduling. Traditionally, these tasks are performed manually using spreadsheets. Our software seamlessly integrates with existing data sources such as data historians, emails, and PDFs to automate analytics, scheduling, changes, and communication within a single platform. Malay and Andrew met while pursuing their MBAs at Harvard Business School. Malay previously worked as an engineer in the specialty chemical industry, saving his employers over $100 million across US, China, and German plants. Andrew worked as a software engineer on data infrastructure at Meta and optimization problems at a seed-stage startup. He also completed a Masters degree at Harvard specializing in Machine Learning.