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AI engineering scientists - search PLMs, read drawings, run simulation
Building out new LNG plants, HVAC systems, or semiconductor processes rely on hundreds of iterations of feasibility testing (through simulation or real-world lab tests) where different designs (combinations of equipment) and parameters are validated. The parameters are often locked in PDFs (datasheets, wiring diagrams, PFDs/P&IDs) which take thousands of hours to convert into CSVs / JSONs, and the simulators don't have an easy API to work with. Outerport bridges the gap by finding documents from PLMs, extracting structured data from drawings, building a knowledge graph over them, and building autonomous AI agents that can fully automate this R&D process by running simulations and performing design checks.
Ex-Research Scientist at NVIDIA, working on R&D for simulation (neural fields, 3D computer vision, 3D generative models). Previously worked in robotics (systems engineering / electro-mechanical design) and manufacturing (operating various CNC machines 😎).
Formerly “haipera”, “Outerbasis” · why startups rename →
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