Thermal management
Cold plates, heat sinks, coolant manifolds and heat-exchanger cores for data centers, AI servers and power electronics.
Typical goalLower thermal resistance at the same pressure drop, within your manufacturing limits.
ColibriV Design AI · Engineering agent
ColibriV Design AI is an engineering agent for physical hardware. You set the goal; it explores the design space overnight, runs real physics and hands you ranked designs with a full evidence trail.
We built it to design our own hydrogen engine. Now we're opening it to hardware teams in other sectors.
Describe what you want in plain words. Design AI turns it into objectives and constraints, and you confirm each one.
It builds parametric designs, screens thousands of them with fast physics models, and picks the most promising and the most uncertain to test further.
The best candidates run on real solvers: flow, heat transfer, chemistry and structures, with mesh and convergence checks.
You get ranked designs, trade-off charts, CAD you can open, and an evidence pack that shows where every number came from.
Design AI uses one engine for every sector. What changes is the sector pack: the parametric designs, physics setups, quantities that matter and validation data for your kind of hardware.
Cold plates, heat sinks, coolant manifolds and heat-exchanger cores for data centers, AI servers and power electronics.
Typical goalLower thermal resistance at the same pressure drop, within your manufacturing limits.
Hydrogen-ready and hydrogen-blend burners, boiler furnace sections and gas-turbine combustors.
Typical goalLower NOx and safe flashback margin as the hydrogen share goes up.
Brackets, mounts and frame nodes for drones, eVTOL, robotics and industrial equipment.
Typical goalLess mass at the same stiffness, strength and fatigue life.
Cooling plates and module thermal design for EV, eVTOL and energy-storage packs.
Typical goalMore uniform cell temperature with less coolant flow.
Pump impellers, fans and valves, including coolant pumps for liquid-cooled racks.
Typical goalHigher efficiency across the operating range.
Combustors, fuel injectors, nozzles and cooling channels. This is where Design AI started.
Before you share dataContact us before sharing any controlled data.
Don't see your sector? Tell us about your problem when you apply. Partners will be able to build their own sector packs on our toolkit.
Why it’s different
The language model plans the work; it never invents the numbers. Every result you see has passed a real solver run, and you can trace it to that run.
Every requirement, setup, result and decision is logged in a tamper-evident record. Export it as an evidence pack.
Design AI was built to design hydrogen combustors, where flow, heat, chemistry and safety margins all interact. The same rigor carries over to every sector we support.
Your designs and results are isolated from every other customer. We don’t train shared models on your data unless you opt in.
Who it’s for
Hardware teams of 5 to 200 engineers that need more design studies than their simulation capacity allows.
Design partner program 2027
We're selecting a small group of teams, across several sectors, to shape Design AI with us.
Design AI is an engineering tool. Its results are advisory engineering evidence, not certified analysis. Every result it reports is confirmed by a physics solver, and final decisions stay with your engineers. Sector availability above reflects current plans and may change.
Design partners in 2027 start with thermal management, industrial combustion and structures. Battery and fluid machinery follow later in 2027. If your problem fits none of these, apply anyway and tell us about it.
Not by default. Your data trains only models for your own organization. Sharing with our general models is opt-in.
Validated open-source solvers for flow, heat transfer, chemistry and structures. Running your own licensed commercial solvers is planned for private deployments.
No. It runs studies your team doesn’t have time to run, exports CAD you can open in your tools, and shows every solver setup so your analysts can check it.
Private deployment is on our roadmap. Tell us your requirements when you apply.
Controlled deployments are planned. Contact us before sharing any controlled data.
Design partners get founding pricing. After the program, we offer fixed-fee design studies and team subscriptions. Contact us for details.
Thermal, combustion, structures, batteries or flow: if it can be simulated, we want to see it.