Outerport
AI engineering scientists - search PLMs, read drawings, run simulation
What they do
Engineering R&D for industrial plants is slowed by design parameters locked in PDFs and hard-to-automate simulators, requiring massive manual effort to extract data and run feasibility iterations.
Outerport connects to PLMs, extracts structured data from engineering drawings and datasheets, builds a knowledge graph, and uses autonomous AI agents to run simulations and automate design checks.
Engineering teams at enterprises designing and validating LNG plants, HVAC systems, and semiconductor processes.
Founders
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 😎).
Open roles 6
Company timeline
- Founded2024
- YC batchSummer 2024
- StatusActive
- Team size4 people
- LocationSan Francisco, CA, USA
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