High-fidelity twins
OpenUSD environments with physics-accurate sensors, built on Omniverse and Isaac foundations.
Physical AI Certification
Prove your robot is ready — before it ships.
Certisto validates robot policies inside a physics-accurate twin of the real world, then issues an auditable Real-World Readiness Certificate: a score, confidence bounds, failure modes, and a certified operating envelope.
Trusted by robotics teams validating humanoids, arms, and mobile fleets.
94.2
/ 100 readiness
Grasp success (long tail)98.1%
Sim-to-real gap (est.)±2.4%
Safety violations0 / 50k trials
Operating envelopeCertified
CERT-8F2A · policy v14
Signed & verifiable
Trusted by teams building the physical world
Atlas RoboticsNorthbeamVantiq AutomationMeridian AMRForge Dynamics
The sim-to-real gap
A demo that works in sim is not proof it works in the field.
Teams lose months and millions when a policy that passed in simulation fails on the real robot — because the twin was inaccurate, sensor noise was wrong, or edge cases were never generated. Leadership and compliance have no repeatable answer to one question: is this ready to deploy?
Months of manual field trials
Ad-hoc domain randomization and hand-run tests with no auditable measure of readiness.
Unmeasured long-tail risk
The rare, dangerous scenarios are exactly the ones simulation never covered.
No deployment evidence
No standard artifact to show customers, safety teams, or regulators.
How it works
From digital twin to signed certificate in one pipeline.
Certisto is GPU-native end to end — rendering, physics, reinforcement learning, and scenario generation all run at fleet scale.
Build a high-fidelity twin
Physics-accurate environments in OpenUSD with calibrated materials, lighting, and sensor models of your real deployment site.
Generate the long tail
The Counterfactual Scenario Miner and world-model data generation surface rare, high-risk cases classical randomization misses.
Validate at GPU scale
Run millions of parallel rollouts and reinforcement-learning evaluations across morphologies and conditions.
Issue a readiness certificate
A calibrated sim-to-real estimator maps twin-vs-reality deltas to a readiness score with confidence bounds and failure modes.
Close the loop in the field
The Jetson edge runtime monitors conformance and streams telemetry back to auto-correct the twin for every future certificate.
Platform
Everything you need to certify Physical AI.
One platform for twins, scenario generation, validation, evidence, and edge conformance.
Scenario mining
Automatically discover the edge cases that break policies, not just the happy path.
GPU-scale validation
Parallel simulation and RL evaluation across thousands of environments at once.
Readiness certificate
Auditable score, confidence bounds, failure modes, and a certified operating envelope.
Evidence vault
Every trial, artifact, and signature stored for audit, compliance, and reproducibility.
Telemetry flywheel
Field data flows back to correct the twin and sharpen every future prediction.
Measured impact
Readiness you can put a number on.
94%
Median certificate accuracy vs. field outcomes
8×
Faster path from policy to approved deployment
50k+
Parallel validation trials per certificate
0
Unmeasured safety violations at sign-off
Why Certisto
Not another simulator. A certification standard.
Renderers and simulators tell you what happened in sim. Certisto tells you what will happen in the field — with evidence you can sign, audit, and defend.
- Calibrated sim-to-real gap estimator, not raw sim scores
- Auditable certificate artifact for customers and regulators
- Proprietary delta dataset that compounds with every deployment
- Deep NVIDIA-stack integration across the full pipeline
Readiness confidence
Illustrative comparison of pre-deployment confidence in real-world performance.
"Certisto turned our go/no-go debate into a number the whole company trusts. We caught two long-tail failure modes in the twin that would have been recalls in the field."
VP Autonomy, Atlas Robotics
Certified operating envelope
Ships with every policy so field teams know exactly where it is cleared to run.
Full traceability
Every score traces back to the exact trials, seeds, and scenarios that produced it.
Enterprise-ready
Private twins, on-prem or DGX deployment, SSO, and compliance reporting.
Built for every morphology
One certification layer across your whole fleet.
Humanoids
Whole-body policies, manipulation, and locomotion.
Industrial arms
Pick, place, assembly, and bin-picking at line speed.
Mobile robots
AMR navigation, docking, and dynamic obstacle handling.
Autonomous machines
Off-highway, agricultural, and field autonomy.
Go deeper
Standards, benchmarks, and engineering notes.
BENCHMARK2026
2026 Sim-to-Real Readiness Benchmark
How today's validation methods correlate with real deployments.
Read more
GUIDE2026
Anatomy of a Readiness Certificate
What every field, bound, and failure mode actually means.
Read more
BLOG2026
Why simulation isn't certification
The gap between passing in sim and being ready to deploy.
Read more
Be certain before you deploy.
See how Certisto certifies your robot policies against the real world. Book a technical demo with our solutions engineers.