Bpifrance awards Suqaba the French Tech Emergence Grant
Clément Vella
Bespoke digital twins
Physical AI for hardware engineering.
Built for the questions standard simulation can't reach — made fast and reliable by certified verification.
Backed & recognized by
Deeptech Emergence grant
Official affiliation
Jury & audience awards, 2025
In practice
From your engineering questions to a digital twin you can trust.
01
Define the scope
We scope the design problem and the engineering questions you need to address, together with your team.
02
Dataset and training
Our solvers generate the training dataset across your problem space. Every data point is checked and curated, so the model learns only from data we can certify.
03
Deliver the digital twin
You get a fast, accurate digital twin that carries certification with every prediction — the same guarantees as the full-order solver, built into the twin.
Why Suqaba
Verification is the pillar of our automation.
01
Trial and error at every step
Meshing, convergence checks, cleanup, and restarts. Weeks are gone before a single simulation even runs.
02
No way to explore at scale
Understanding how a part responds across the full range of design choices is what teams most want, and where current tools hit their scaling limits.
03
Numbers without proof
A result with no verification behind it is the fast road to a wrong decision.
Built for critical industries
Support structural decisions for a predictable and sustainable lifecycle.
Engineering applications
Weight & mass reduction
Fatigue & durability life
Uncertainty quantification
Design space exploration
Shape & topology optimization
Damage tolerance & residual strength
Your digital twins will answer them in seconds, with certification attached.
The end-to-end verified workflow for structural design AI.
Bring us your hardest problem. We pair your insights with our science to build a twin around your engineering questions.
Get in touch