Choose the cooler design.
For electronics and hardware engineers
Build a thermal-simulation workspace that helps engineers compare design revisions before ordering another prototype. Keep the model, boundary conditions, solver results, and review together so the trade-offs are visible.
- Run comparable thermal scenarios
- Locate the hot regions in each revision
- Share the evidence behind the design choice
A way to earn: Sell engineering-team subscriptions with metered simulation compute.
A focused first release: Support one solver and enclosure-design workflow from upload to comparison.
The customer leaves with: A thermal comparison showing where each design runs hotter, with the assumptions available for review.
Prioritise the thermal review.
For hardware teams reviewing thermal results
Build an AI review assistant that reads simulation outputs, design notes, and a team’s own limits. Give engineers a focused review brief showing which results need attention and which assumptions still need checking.
Where AI helps. AI summarises solver evidence and drafts review questions. Engineers verify the findings and decide which design changes to make.
- Bring limit breaches into one view
- Connect findings to the exact run
- Assign questions to the right engineer
A way to earn: Sell team licences with paid solver and document integrations.
A focused first release: Review enclosure simulations against customer-defined temperature limits.
The customer leaves with: A prioritised review brief linking each concern to a run, a location, and the relevant design limit.
Keep simulations moving.
For simulation teams with queued workloads
Build a managed compute service that takes engineering jobs from submission to usable results. Customers get reproducible runs and a clear view of failed jobs, outputs, and spending without maintaining their own job scheduler.
- Submit jobs to a managed queue
- Reproduce a run from its saved environment
- Find outputs and compute charges together
A way to earn: Charge for compute usage, with paid support and managed environments.
A focused first release: Run one repeatable engineering workload with a complete submission-to-results workflow.
The customer leaves with: Completed runs in a repeatable environment, with failed jobs identified and results ready to inspect.
