AI-Guided Scientific Experiment Optimization
Opsight — Optimization + Insight — is built on a simple idea: finding an optimum should also mean finding new knowledge.
Researchers face vast search spaces where each experiment can take days and cost thousands of pounds. Most optimization tools ignore domain expertise or require deep programming knowledge. Opsight changes that by turning optimization into a hypothesis-driven search: the AI formulates hypotheses, you verify them through real experiments, and together you converge on optimal solutions — while building a reusable body of insight that outlasts any single experiment.
combinations
in many R&D domains
captured or reused
Accelerated Discovery
- Fewer experiments to optimum — AI-guided strategies converge faster than standard approaches
- Captured reasoning — every hypothesis is written in plain language, so humans can read, challenge, and build on the AI's thinking
- Active deployment — currently running active catalytic materials discovery in self-driving labs
- 30+ benchmarks — built-in experiments spanning chemistry, materials science, and engineering
Not a Black Box
- 💬 Explainable AI — every decision comes with a natural-language explanation and hypothesis
- 📋 Full audit trail — all hypotheses, decisions, and results are timestamped and traceable
- 🔒 Your data stays yours — securely hosted, never shared externally or used for model training
- 🧑🔬 Human oversight — pause, review, steer, and resume campaigns at any point
Talk to Us About Your Optimisation Problems
Looking for pilot partners in R&D-intensive industries. Whether you're optimising formulations, processes, or materials — we'd love to explore how Opsight can accelerate your discovery.
Contact Us