Stop unsafe robot commands before a motor moves.
Kyntic is a small box that sits between your AI and your machines. It reads every command, checks it two ways, and only lets the safe ones through. When it blocks something, you get a text that explains what it stopped, in plain English.
One command, two checks, then the motor
Every instruction from your AI runs this path before a single motor turns. Pass both checks and it goes through. Fail either one and it never reaches the machine.
-
1
Your AI asks the robot to do something
The command can come from a model in the cloud or one running right on the Kyntic box.
-
2
The AI judge reads it on the box
A second AI checks the command against your own rules for this robot. It catches a hijacked prompt, a poisoned input, or a model that has drifted off track.
-
3
The safety check runs the math on the box
A deterministic check tests the actual motion against hard limits: reach, joint angles, speed, force, and keep-out zones around people. The answer is only ever pass or fail.
-
4
Only approved commands reach the motors
Clear both checks and the command goes through. Fail either one and Kyntic blocks it before anything moves, then texts you why.
When Kyntic stops a command, you get a text
Most tools watch. Kyntic stops.
Wherever an AI can move a motor, Kyntic sits between the model and the machine and refuses any command that breaks your rules. Other tools only tell you after the fact.
An AI judge and a math judge
One AI reads the intent and weighs it against your rules. A separate deterministic check runs the hard physics. A command has to pass both before it reaches a motor. If the AI judge is ever fooled, the math still has to hold.
It blocks, it doesn't just warn
Alerting tools tell you after the damage is done. Kyntic sits in the command path and drops the unsafe instruction before the robot moves. The motor never gets the order.
Refusals that survive the model
Every command and every block is written to a signed, append-only log. Even if the AI is compromised, your refusals stay provable to an outside reviewer. Nothing to take on faith.
How you set it up
One real cable, then your rules. We do the hard part before the box ships.
Wire it to your robot
Connect the box to your robot's motor network: CAN bus, EtherCAT, or EtherNet/IP. That is the one cable that matters.
Send your AI through it
Run your model right on the box, or point a cloud model at it. Either way, every command now passes through Kyntic first.
Confirm your rules
We preload your robot's limits and your safety rules before it ships. Review them, change them, and approve them any time.
Power on
It checks every command from the very first one. Nothing reaches the motors unchecked.
If the box fails, the robot stops
Kyntic fails closed. If it loses power or faults, a hardware relay brings the robot to a controlled stop instead of letting raw commands through. When in doubt, nothing moves. We can break; your machine still ends up safe.
Built to be trusted
Two checks that can't interfere with each other, on industrial hardware made for the factory floor.
A real boundary lives outside the model
A safety check that runs inside the same computer as the AI can be fooled by the same attack that fools the AI. So Kyntic keeps the two apart. The AI judge runs on a high-performance accelerator. The deterministic check runs on its own isolated safety processor that does not trust the judge or the model above it. If one is fooled, the other still holds the line.
Your limits are an operating envelope you can read, change, and approve, not a black box. And every command and every block is written to a signed, append-only log, so your refusals stay provable to a safety or insurance review long after the moment has passed.
The deterministic checks are designed to map to the robot-safety and functional-safety standards your team already has to meet.
Safety teams can't sign off on a black box
Companies want AI to run their machines. Safety teams can't approve a system that might do the wrong thing. Kyntic gives them a hard line they can trust.
AI doesn't always get it right
Models hallucinate, get tricked by prompt injection, and drift over time. One bad command to a heavy arm is a real accident, not a bad chat reply.
The damage is physical
A wrong move doesn't leak data. It crashes a machine, ruins a part, or hurts the person standing next to it. You can't undo it.
A guardrail in the model isn't a boundary
A check that runs inside the AI can be fooled by the same attack that fools the AI. A real boundary lives outside the model and judges the command itself.