Your machine won't move unless it's safe to do so.
A safety check that runs before every single move. Always.
AI is very good at figuring out what to do. It is not always right. Before any movement reaches the robot, Xolver checks whether the move is physically possible, stays within the safety zones you've defined, and is consistent with your rules. If any check fails, the machine stops.
A wall between the AI and the machine.
Every move the AI proposes is intercepted here. Xolver checks it against the physical rules of the machine, the safety zones you've defined, and the operational policy for this deployment. The AI cannot bypass this check — not by design, not by mistake.
Hard checks, not guidelines
Safety rules aren't suggestions the AI is trained to follow. They're hard checks that run independently — and block any motion that doesn't pass.
Stays inside your defined zones
You define the workspace boundaries — safe zones, restricted areas, fixtures, floors. The system enforces them on every single move. There is no override.
AI that can't hurt anything.
Intelligence without limits is a liability in a physical environment. Every move your machine makes is evaluated against real-world physical constraints before it happens — not as a suggestion, but as a hard requirement.
Can the machine actually do this?
Every proposed movement is checked against the physical limits of the machine — range of motion, operating boundaries, safe zones. If it isn't possible, it doesn't happen.
Translates AI intent into safe commands
The AI describes what it wants to do in general terms. This layer translates that into the exact physical command the robot can safely execute — and adjusts or blocks it if needed.
Explicit Failure Behavior
Halt. Log. Escalate.When a foundation model proposes an action that violates collision boundaries or joint limits, the Enforcement Layer doesn't improvise. It gracefully halts motion, logs the deviation for reflective adaptation, and safely escalates.
Fast enough to keep up. Strict enough to be trusted.
Safety checks happen on-site, in real time — fast enough that they never slow your machines down, strict enough that nothing unsafe gets through.
Runs in real time, under 5ms
Safety checks run fast enough that they never slow the machine down. Your robots operate at full speed — with a safety check on every single move.
Works with any sequence of moves
Whether the AI is planning one step at a time or a whole sequence of movements, the same safety check applies at every point. No shortcuts for complex tasks.
Works with any AI model
The same safety rules apply regardless of which AI model is making suggestions. Bring your own model, or use X1-D — the safety check is identical either way.
Ready to deploy safety-first autonomy?
Stop compromising between intelligent adaptability and deterministic safety. Deploy AI that respects reality.
FAQ
What does the Enforcement Layer do?
It sits between model intent and hardware execution. It validates proposed actions against runtime contracts, kinematic limits, workspace bounds, timing constraints, and deployment policy before anything reaches a controller.
Does enforcement make the model safe by itself?
No single layer makes a deployment safe by itself. Enforcement is one critical boundary, but live readiness also depends on the active robot profile, safety hardware integration, connection behavior, operator approval, and evidence for the specific deployment path.
What happens when an action is rejected by enforcement?
The system follows a halt, log, and escalate pattern. The rejected proposal is blocked before hardware execution, the reason is recorded, and the event can be routed to an operator interface for review.
Can enforcement refine an action instead of blocking it?
In some preview or policy-mediated paths, enforcement can clip, constrain, or refine a proposal inside allowed limits. If the proposal cannot be made valid, it should be refused rather than forced.
How does enforcement relate to OEM compatibility packs?
OEM packs sit below the bounded execution boundary. They translate validated intent for a target controller, but they do not bypass runtime contracts, safety shields, watchdogs, evidence, or approval gates.
Is enforcement the same as a PLC safety system?
No. Xolver does not replace plant safety systems or certified safety hardware. It adds a software boundary for model proposals and runtime decisions while existing safety infrastructure remains part of the deployment.