The round, led by Meridian Ventures with participation from existing investors, brings total funding to $185M. The capital will fund a major expansion of Driftver's research team and accelerate deployments across aerospace, automotive, and energy programs. 'This lets us go after the hardest problems in industrial engineering at a scale that was previously out of reach,' said CEO Elena Vasquez.
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News, announcements, and milestones from the Driftver team.
Under the agreement, Driftver's surrogate models will be integrated directly into the manufacturer's propulsion design workflow, targeting a step change in development cycle time. Early pilots reduced a thermal optimization study from eleven weeks to under two days while maintaining simulation-grade accuracy.
The benchmark spans twelve industrial CFD cases, from external aerodynamics to internal cooling flows. Driftver's neural operators matched high-fidelity solvers within 2% error while running over 1000x faster, and the full dataset has been released to the scientific machine learning community.
After a six-month early access program, autonomous agents are now available to all enterprise customers. Engineers define objectives and constraints, and agents explore up to 100,000 candidates per run, surfacing ranked and validated design options grounded in physics AI predictions.
The Munich office expands Driftver's presence to three continents and brings the team closer to key automotive and industrial partners. The hub will concentrate on coupled structural, thermal, and fluid modeling for complex mechanical systems.
The Engineering Data foundation now ships with out-of-the-box connectors for the most widely used PLM and CAE data systems, giving teams a single governed source of truth across the product lifecycle and a richer training substrate for physics AI.
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