Our Clients

Harappa delivers fast and accurate models of physical and chemical devices and processes. We use advanced scientific machine learning techniques – pioneered by us – that combine physical and chemical understanding with data from experiments and first principles calculations. We assemble a team of researchers that brings the latest domain-specific knowledge to the modeling task. Our network’s expertise spans all kinds of physical, chemical and electrochemical reactors and devices.

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Autodesk Water Management Solutions: We worked with the AI research team at Autodesk Water Management (formerly Innovyze) to develop new capabilities in physics-informed machine learning, improving the speed and accuracy of dynamic models of water treatment processes. “I am really proud of the work [Harappa] and our AI team did together. It is great to see how bleeding edge academic research and innovation make it to products that serve our customers in conserving water and energy world wide. Thank you!”
– Boaz Brudner, Head of SaaS Engineering, AI and Architecture, Autodesk

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Lunexus Space: We developed a model of a plasma-based process for reprocessing silicon solar cells autonomously on orbit for this startup company. In this project we used our fully interpretable, Bayesian machine learning techniques to extract model components from the scientific literature, deploying it in new simulations that assisted Lunexus with their initial process design. “[Lunexus] engaged Harappa to do modeling of thermochemistry for our Phase 1 SBIR. Dave and his team were fantastically diligent in both response time and meeting our stated objectives and dynamic scope.”
– Greg Vialle, CEO, Lunexus Space

Harappa Modeling 2025