Use cases for Saykai.
Saykai is for physical AI, AMR fleets, and warehouse robotics where mistakes are expensive and hard to roll back.
If a change can move equipment or people, it should clear a safety gate first.
Start with one workflow where mistakes hurt and make that pipeline gated first.
Warehouse and mobile robots.
Protect warehouse fleets from autonomy updates that quietly push speed, acceleration, or safety buffers past your approved limits.
Incidents become behavioral scenarios that every new version must pass in CI before it reaches a live floor.
- Capture real incidents as behavioral scenarios that get checked on every future change.
- Catch Nav2 config changes that push speed, acceleration, or inflation radius past approved limits.
- Give operators one Safety Pack that explains why a release is safe.
Example gate: warehouse AMR fleet
> GATE STATUS: PASSED
> NO POLICY VIOLATIONS DETECTED
Industrial mobile robot programs.
Use Safety Specs and Safety Packs as standard parts of your safety case and risk process. Every release has a traceable story instead of scattered charts and screenshots.
Consistent evidence
Every approved change has a Safety Pack showing what changed, what was tested, and the resulting pass or block decision. Attach it to safety cases and audits.
Clear ownership
Engineering owns the Safety Spec in CI. Safety and risk own whether to accept the Pack. Everyone reviews the same artifact.
Program scale
Version Safety Specs by fleet, site, or robot class so you can meet regulatory expectations without reinventing process each time.
Below is an example Safety Pack header for an industrial fleet release.
ED25519 SIGNED · HARDWARE-BOUND
Start with one fleet that matters.
Pick a fleet or facility where mistakes really hurt. Make Saykai the gate there first, prove the value, then extend.
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