Accelerating Industrial Innovation with AI

Engineering development cycles are still measured in years. Driftver embeds physics AI directly into engineering workflows, compressing the distance between what you can imagine and what you can build.

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Deployed inside the world's most advanced engineering organizations
Volare Aero logoMeridian Motors logoHelion Energy logoNorthbridge Industrial logoApex Mobility logoCortex Semiconductors logoFerrovia Materials logoAerodyne logo

An AI-native engineering stack

Driftver unifies simulation, physics AI, data, and engineering applications into a single foundation — built for the full product lifecycle, from concept through operations.

Physics AI surrogate models.
Predict real-world behavior in seconds instead of weeks of simulation.

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Real-time design exploration
Sweep vast design spaces and preview performance as you iterate.

Native workflow integrations
Connect the CAD, CAE, and PLM tools your engineers already use.

Unified engineering data
Bring simulation, sensor, and operational data into one foundation.

Autonomous engineering agents
Run studies and optimize designs across many candidates in parallel.

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Models straight to production
Deploy validated physics models directly into live operations.

Driftver collapsed a design study that used to take our team a full quarter into a single afternoon.
Elena Vasquez avatar
Elena Vasquez
VP Engineering, Aerodyne

Where complexity is highest

Driftver is deployed across the sectors where the cost of slow development is greatest — embedded inside the programs building the world's most demanding systems.

Aerospace & Defense

Design and certify complex airframes, propulsion, and thermal systems faster.

Automotive

Optimize aerodynamics, powertrains, and crash performance across the full vehicle.

Energy & Renewables

Model turbines, grids, and storage to squeeze more from every asset.

Semiconductors

Predict thermal, electrical, and mechanical behavior down to the device level.

Materials

Discover and qualify advanced materials with physics-grounded models.

Industrial Systems

Bring simulation and operations together for machines built to last.

Trusted at the engineering frontier

Hear how engineering teams explore more, iterate faster,
and ship with confidence using Driftver's physics AI platform

Driftver's surrogate models let us evaluate thousands of design candidates overnight. We now explore parts of the design space our physical test program could never reach in time.
Annette Black avatar
Annette Black
Head of Simulation, Volare Aero
Driftver plugged straight into our existing CAE stack. Our engineers didn't change tools — the physics AI just made them faster.
Dianne Russell avatar
Dianne Russell
Director of R&D, Meridian Motors
We compressed a turbine optimization cycle from months to days. The impact on our development roadmap has been enormous.
Cameron Williamson avatar
Cameron Williamson
Principal Engineer, Helion Energy Systems
Simulation, sensor, and field data finally live in one place. Driftver gave us a single source of truth for the entire product lifecycle.
Robert Fox avatar
Robert Fox
VP Engineering, Northbridge Industrial
The autonomous agents run studies while my team sleeps. We wake up to ranked, validated design options every morning.
Darlene Robertson avatar
Darlene Robertson
Lead Aerodynamicist, Apex Mobility
Driftver's physics AI predicts thermal behavior at the device level with accuracy we trust enough to build on.
Cody Fisher avatar
Cody Fisher
Silicon Architect, Cortex Semiconductors
Pushing validated models from Driftver straight into our operations was seamless. There was no gap between what we simulated and what we deployed to the plant floor — the same physics runs in production.
Albert Flores avatar
Albert Flores
COO, Ferrovia Materials

Frequently Asked Questions

Everything you need to know about Driftver and how physics AI transforms your engineering workflow

What is Driftver and who is it for?
Driftver is an AI-native engineering platform for industrial organizations building complex physical systems. It's designed for simulation, design, and R&D teams in sectors like aerospace, automotive, energy, semiconductors, and materials who need to move faster than traditional development cycles allow.
What is physics AI?
Physics AI refers to machine-learning models trained to predict the physical behavior of a system — structural, thermal, fluid, or electromagnetic — without running a full numerical simulation every time. Driftver's surrogate models deliver simulation-grade results in seconds, letting engineers explore far more of the design space.
Does Driftver replace our existing simulation tools?
No. Driftver integrates natively with the CAD, CAE, and PLM tools your engineers already use. We accelerate and augment your existing workflows rather than forcing you to rip and replace, unifying simulation, data, and applications into a single foundation.
How accurate are Driftver's models?
Our models are trained and validated against your high-fidelity simulation and physical test data. We report accuracy and uncertainty transparently, so your engineers can trust predictions enough to make real design and operational decisions.
How do autonomous engineering agents work?
Driftver agents run design studies and optimization loops across many candidates in parallel, using physics AI to evaluate each one. They surface ranked, validated options so your team spends time on judgment and decisions rather than manual setup and iteration.
How does Driftver handle security and IP?
We use enterprise-grade security including encryption in transit and at rest, strict access controls, and compliance with industry standards. Your engineering data and models remain yours, and we offer private and on-premises deployment options for sensitive programs.

Build beyond human imagination

Partner with Driftver to embed physics AI inside your engineering programs and address the defining challenges of your industry.