Evolves continuously.
Software · Models · Hardware · Environment
Manually reconstructed.
At points in time · Reviews · Audits · Documents · Snapshots
The robot changes continuously. Its assurance basis should too.
Ply learns what it is reasoning about.
Ply extracts product and environment facts from engineering artifacts, determines what controls downstream assurance conclusions, and asks only when something important cannot be established.
1 decision needed to continue
Controls the worker-interaction safety path.
Standards become engineering work.
Ply turns applicable safety and cybersecurity requirements into connected engineering work—requirements, controls, tests and evidence grounded in the actual hardware, software and operating environment.
Ask Ply what the change means.
Ply does not answer from a generic chatbot. It reasons over the current engineering state, its Assurance Graph, and the evidence connected to it.
Synthetic engineering example
Understanding stays alive as the product changes.
ply propagates each engineering decision through the relationships, evidence and deployments that depend on it.
A change shouldn’t restart your entire safety case.
Ply isolates the requirements, tests and evidence that need attention while preserving the work whose controlling assumptions still hold.
0.72 → 0.64Every decision is inspectable.
Every conclusion has a basis.
Engineering understanding is the engine.
What still holds?
What must we prove?
Can we deploy?
Safety by design.Compliance as a byproduct.
Operationalize safety, cybersecurity and standards directly in the engineering loop—and keep requirements, tests and evidence current as the system evolves.
Build with ply ↗