Where science meets AI Agents.

Our first domain. Biotech startups run on proprietary data, protein sequences, compound libraries, and clinical datasets. Opos filters sensitive data locally before anything reaches external APIs, presents the full plan before executing, and logs every model call with a complete audit trail. Scientists describe what they need in plain language. Opos handles the rest.

Energy startups need quantum-level material simulation, catalyst design, and grid optimization, all running on sensitive proprietary models. Opos connects molecular dynamics engines, quantum chemistry tools, and materials databases into a single autonomous workflow. No duct-taping. No API key juggling.

Aerospace demands precision, parts that are lighter, stronger, and certified for environments where failure isn't an option. Opos orchestrates generative design tools, structural simulation engines, and CAD systems into workflows that engineers can trust. Every design decision traced. Every optimization justified.

Designing new materials, superconductors, alloys, composites requires simulating atomic-level interactions across millions of candidates. Opos connects generative material models, thermodynamic predictors, and property databases so researchers can explore the design space without building the infrastructure themselves.