Evidence over opinion
Every claim we make about a robot is backed by traceable, reproducible data.
Certisto is the certification layer for Physical AI — proving robot policies against faithful twins of the real world and issuing evidence everyone can trust.
Every robot that enters the physical world should first be proven in a twin of that world — with evidence anyone can trust.
Our founders spent years training robot policies that looked flawless in simulation and then failed in the field. The gap was never a mystery — inaccurate twins, wrong sensor noise, untested edge cases — but no one could measure it, let alone certify against it.
So we built the layer that was missing: a way to prove a policy against a faithful twin of its real environment and issue an artifact everyone — engineers, executives, customers, regulators — could trust.
Today Certisto is building the certification standard for Physical AI, backed by a data flywheel that gets more accurate with every robot deployed.
By the numbers
Every claim we make about a robot is backed by traceable, reproducible data.
We report confidence bounds and failure modes, not just the numbers that look good.
A certificate that isn't trustworthy is worse than no certificate at all.
Every deployment makes the next prediction sharper. The flywheel is the moat.
We win when our customers ship confidently — not when we slow them down.
The certification benchmark only matters if the whole industry can trust it.
Q1 2026
Company founded
Certisto forms around a single idea: turn simulation into an auditable readiness certificate.
Q2 2026
Design-partner program
First robotics teams validate humanoid and industrial-arm policies on the platform.
Q3 2026
Readiness benchmark published
We release the sim-to-real correlation study to seed an open certification standard.
Q4 2026
Edge runtime GA
Jetson conformance monitoring closes the loop from certificate to field telemetry.
Founder & CEO
Former robotics autonomy lead. Shipped manipulation policies to production fleets.
Co-founder & CTO
Simulation and RL researcher. Built large-scale parallel training infrastructure.
Head of Safety
Functional-safety engineer for autonomous systems and industrial robotics.
Head of Product
Enterprise deep-tech product leader focused on developer and evidence workflows.
Impact you can measure
Your work directly decides whether a robot is safe to ship.
Frontier problems
World models, sim-to-real estimation, and GPU-scale validation.
Small, senior team
Low process, high trust, and direct ownership of outcomes.
"The most interesting thing in Physical AI isn't a new robot — it's a way to prove the robots we already have are ready."
Whether you want to validate your robots or build the platform, we'd love to talk.