Autonomous Agents
Driftver agents run design studies and optimization loops across many candidates in parallel, using physics AI to evaluate each one and surface ranked, validated options.
Engineering judgment, amplified
Autonomous agents handle the mechanical work of iterating through design variations, running studies, and comparing results. Your engineers stay in control of the objectives and the final decisions, but spend their time on judgment rather than repetitive setup.
Optimization at industrial scale
Because agents evaluate candidates with physics AI rather than full solves, they can explore orders of magnitude more of the design space. That means better designs discovered faster, across programs that would otherwise be constrained by compute and time.
Goal-driven exploration
Define objectives and constraints; agents search the design space for you.
Parallel studies
Evaluate thousands of candidates concurrently instead of one at a time.
Ranked, validated output
Wake up to a shortlist of designs, each checked against your requirements.
Ready to go deeper?
Talk to our team about embedding physics AI in your engineering programs.