What it sells
AI-aided design software for product engineering.
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering and R&D leadership (VP engineering, simulation/CAE heads) at automotive and industrial manufacturers; customer stories feature JLR, General Motors, Subaru, MAHLE and Mitsubishi Chemical.
Trigger: what makes them buy now?
Need to cut design iteration time and late-stage changes to stay competitive.
Workflow: what inputs become what output?
Predicts physics performance (aerodynamics, thermal, structural, electromagnetics) in near real time from simulation data, replacing slow CFD/FEA iterations and generating CAD-ready design options.
Economics: what it saves and how it charges
Enterprise software deployed as domain-specific AI copilots on top of customers' CAD and simulation tools; value claims are faster design cycles (e.g. material characterization from weeks to a day, surgery planning 100x faster). Licence model not stated.
Distribution: how it reaches customers
UnverifiedEnterprise sales, events and customer stories; no public pricing.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2025-12-18 | — | $100M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.