Everything to certify Physical AI, well.
Benchmarks, guides, whitepapers, and developer docs — plus the open Readiness Benchmark defining how the industry measures sim-to-real performance.
The 2026 Sim-to-Real Readiness Benchmark
How today's validation methods actually correlate with real-world robot performance — across 6 morphologies and 40+ teams.
Anatomy of a Readiness Certificate
Every field, bound, and failure mode explained.
Sim-to-real calibration guide
How to make a twin faithful enough to certify against.
Cert Engine walkthrough
A 12-minute product tour from twin to certificate.
Guides, benchmarks, and reference material.
Start here.
How to calibrate a digital twin
The practical steps to match physics and sensors to real hardware.
Engineering
Setting a readiness gate in CI
Block merges that drop below your minimum certified score.
DevOps
Reading failure modes
Turn a certificate's weakest scenarios into your next sprint.
ML
Calibrated sim-to-real estimation
The method behind our readiness score and its confidence bounds.
Research
Choosing what to certify first
Prioritize the deployments where being wrong is most expensive.
Strategy
Cert Engine end-to-end
From policy artifact to signed certificate in one walkthrough.
Product
Webinars and events.
Building a twin you can certify against
A hands-on walkthrough of twin calibration.
45 min
The certification layer for Physical AI
Our talk on standardizing robot readiness.
Session
Office hours with our engineers
Bring your sim-to-real questions.
Live
Help define how the industry measures readiness.
The Readiness Benchmark is an open effort to standardize how sim-to-real performance is measured and reported. Contribute data, review the methodology, or adopt it in your own validation.
Benchmark coverage
- Morphologies
- 6
- Environments
- 11
- Contributing teams
- 40+
- Update cadence
- Quarterly
Certisto Dispatch
Sim-to-real notes, monthly.
New benchmarks, failure taxonomies, and engineering deep dives. No spam.
Build on the platform.
API reference
Endpoints, auth, and webhooks with client libraries.
CLI reference
Certify from the terminal and script your pipelines.
CI recipes
Drop-in workflows for GitHub Actions and GitLab CI.
Using our resources.
See it applied to your robots.
Reading is good. A certificate on your own policy is better.