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CompLabs is an artificial intelligence software company that accelerates high-fidelity mechanical and aerodynamic simulations for the industrial engineering sector. The platform integrates directly with commercial and in-house solvers to automate tasks such as computer-aided design cleaning, meshing, and boundary condition setup, reducing simulation runtimes from hours to milliseconds. Prior to developing this core product, the team built AI automations for dozens of companies, secured second place in a finite element analysis competition against more than 5,000 participants, and developed an AI system that outperformed o1 on the GPQA Biology benchmark. The startup operates with $2.65 million in pre-seed funding from a syndicate of investors led by Alt Capital, with additional participation from Joris Poort and Cory Levy. CompLabs was established by co-founders Noah Evers and Chinmay Shrivastava, though the exact founding year remains undisclosed.
CompLabs has raised $3.0M across 1 funding round.
CompLabs has raised $3.0M in total across 1 funding round.
CompLabs has raised $3.0M in total across 1 funding round.
CompLabs's investors include Accel, Black Jays Investments, Pareto Holdings, TrueSight Ventures, Jawed Karim, Venus Williams.
CompLabs has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Seed in May 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2025 | $3M Seed | — | Accel, Black Jays Investments, Pareto Holdings, TrueSight Ventures, Jawed Karim, Venus Williams | Announced |
CompLabs is a San Francisco-based technology company developing an AI-driven platform that accelerates mechanical simulations, reducing runtimes from hours or days to milliseconds while preserving high accuracy.[1][2][3][4] It targets engineers and designers in mechanical and aerodynamic analysis, automating tedious CAE (Computer-Aided Engineering) workflows like CAD cleaning and boundary condition application to solve bottlenecks in product design iteration.[2][3] The company serves industries reliant on complex simulations, such as aerospace and manufacturing, enabling faster prototyping and innovation; it recently raised $2.6M in funding on May 28, 2025, signaling strong growth momentum amid rising AI adoption in engineering tools.[1]
CompLabs was founded by Noah and Chinmay, who bring elite academic credentials from Harvard, IIT Roorkee, and Brown, along with expertise in reinforcement learning, deep learning, computational mechanics, cognitive science, and generative AI.[2] Their idea emerged from hands-on experience: they published studies and a patent, placed 2nd in a 5,000+ participant finite element analysis competition, and built advanced AI systems—including one outperforming OpenAI's o1 on GPQA Biology benchmarks three months pre-release.[2] Pivotal early traction came from prior ventures like founding and selling a neuroscience-based coffee improvement company (featured in Scientific American and NPR), creating AI automations for dozens of firms, and training a knowledge graph for personalized learning to 1,200 users—culminating in CompLabs' focus on AI for mechanical simulations.[2]
CompLabs rides the AI-for-engineering trend, where foundation models are transforming CAE from compute-intensive bottlenecks to real-time tools, aligning with surging demand for faster design cycles in hardware-heavy sectors like EVs, aerospace, and robotics.[4] Timing is ideal post-2025 AI advancements, as high-fidelity simulations become essential amid supply chain pressures and sustainability mandates—market forces favoring AI that maintains physics accuracy without massive HPC needs.[1][3][4] By democratizing rapid prototyping, CompLabs influences the ecosystem, empowering startups and incumbents to iterate 100x faster, accelerating hardware innovation akin to how GitHub Copilot boosted software dev.[2][4]
CompLabs is poised for explosive growth, leveraging its $2.6M raise to scale foundation models across more simulation types like thermal and structural analysis.[1] Trends like multimodal AI and edge computing will amplify its edge, potentially capturing share in a $10B+ CAE market as enterprises seek simulation-as-a-service. Its influence could evolve from niche accelerator to ecosystem standard, much like early AI tools reshaped creative fields—watch for partnerships with CAD giants and Series A by mid-2026, solidifying AI's role in physical-world design.[1][2][4]
