From R&D question to materials solutions.
PhinOS is the digital scientist. PhinFoundry is the digital lab. Together they turn ideas into testable hypotheses and promote only those worth running in a lab.
- Set goals and constraints
- Physically test pre-validated candidates
- Agentic literature search, experiment design, and reporting
- Automated workflow execution
- Design spaces natively utilize previous data
- Automated digital experimentation
- AI-accelerated simulations
- ML surrogates screen millions of candidates
PhinOS and PhinFoundry unify materials development.
PhinOS manages all your R&D, while PhinFoundry trains and runs ML models that are calibrated to your materials.
Ties every experiment to a business target
Business and technical targets define the objectives, constraints, and measurements of a materials search space. Every prediction, validation, and rejected path stays tied to its context, so each iteration leverages all your data.
Tests materials before you make them
Uncertainty aware ML Models grounded in first-principles quantum mechanics evaluate candidates to reduce your physical experiment load, returning properties and the confidence behind them. Your lab stops being the only place your team can learn something.
Turns learning into action
Humans remain natively in the loop as model confidence increases to gate critical transitions. Digital experiments turn into experiment proposals, and experiment proposals become validated materials solutions.
PHIN makes progress deterministic.
PhinOS and PhinFoundry synergistically combine to streamline your materials development.
to double material performance
Desk work
At the bench
Breakthrough science