A simple, powerful platform for real-time optimization and collaborative hypothesis testing – no domain limits, no hidden barriers.
Opsight blends Bayesian optimization with optional LLM suggestions to hone in on the best solutions faster.
E.g., “Tune machine learning parameters, reaction conditions, or even greenhouse variables in fewer
experiments.”
Incorporate hypotheses or constraints from human experts or language models, instantly.
Steer the search toward more fruitful or novel regions of your parameter space.
Designed from day one to handle chemistry, engineering, agriculture, robotics, data science, or anything else.
If it can be measured, Opsight can optimize it.
Define Your Experiment: Specify input parameters (continuous, discrete, or categorical) and link or upload
your objective function.
Initialize: The platform draws an initial set of points or seeds to start the optimization.
Optimize Together: Opsight uses Bayesian optimization behind the scenes, plus your domain knowledge (or an
optional LLM) to
propose the next best tests.
Track & Export: Watch real-time progress via Opsight’s dashboard. Export data and insights at any time.
Scientists discover better experimental conditions.
Engineers refine prototypes with fewer trials.
ML Practitioners find optimal hyperparameters.
Data Analysts quickly identify top-performing configurations.