scientific-computing
(5)
Code Ocean
Code Ocean is a New York-based B2B SaaS platform that makes computational research reproducible, traceable and collaborative. Its flagship Compute Capsule bundles code, data and the exact software environment together so an analysis runs identically today or years from now. Used by pharma, biotech and leading research institutes, and integrated with journals like Nature and IEEE, Code Ocean is building a trusted virtual lab where both scientists and AI agents can run real analyses with full version control, lineage and compliance.
Parallel Works
Parallel Works is a Chicago-based software company, spun out of Argonne National Laboratory in 2015, that builds ACTIVATE - a hybrid multi-cloud control plane for high-performance computing and AI. The platform gives researchers, engineers and defense teams a single interface to provision, orchestrate and share compute across on-premises clusters and the major clouds (AWS, Azure, Google Cloud, Oracle), with built-in cost governance, role-based access and security controls. In 2025 ACTIVATE's High Security Platform became the first hybrid multi-cloud solution to earn a U.S. Department of Defense IL5 Authority to Operate.
Pasteur Labs & ISI
Pasteur Labs & ISI is a New York-based public-benefit deep-tech company building 'Simulation Intelligence' - the systematic merger of AI, physics simulation, and scientific computing. Its AI-native, GPU-accelerated, end-to-end differentiable physics platform gives engineers and scientists an in-silico playground to run thousands of what-if scenarios and shrink the gap between digital models and physical reality. Founded in 2021 by AI researcher Alexander Lavin and staffed by veterans of DeepMind, NASA, CERN, Tesla, Nvidia and Ansys, the company targets industrial R&D, energy, climate, and space & defense, and stewards the open-source Tesseract framework for differentiable scientific computing.
LatchBio
LatchBio is a San Francisco company building an AI-native data platform for biology. It lets scientists store, analyze, and visualize data from 40+ lab kits and instruments without writing code or managing cloud infrastructure - turning raw sequencing and experimental output into reproducible, publication-ready results. Founded in 2021 by three Berkeley dropouts, it now serves thousands of scientists at biopharmas and research labs and is positioning itself as 'the AI agent for biology data analysis.'
Deep Principle
Deep Principle is an AI-for-Science company spun out of MIT that builds ReactiveAI, a closed-loop R&D platform fusing generative AI, quantum chemistry, and high-throughput experimentation to discover new materials, catalysts, and chemical processes far faster and cheaper than traditional trial-and-error labs. Founded by MIT PhDs Haojun Jia and Chenru Duan, the company targets materials, energy, and pharmaceutical R&D and has reported quantum-chemistry speedups on the order of 20,000x versus conventional DFT.