We build the supervisory software that sits between AI systems and machine actions. We don't replace AI models—we make them safe to trust.
Makes a prediction
Evaluates if safe to act
Executes action
Today, AI models analyze sensor data and recommend actions across laboratories, factories, and autonomous systems. But AI doesn't always know when it's wrong. It behaves unpredictably. It hallucinates. And machines may act on outputs that should never have been trusted.
AI models can't reliably detect their own failures
Physical actions on bad AI outputs cause real-world harm
Companies fall back to rigid rules—safe but limited
The result: AI remains underused in physical systems. Deployments stay stuck at pilot stages. The promise of intelligent machines goes unfulfilled.
We don't replace AI models. We don't generate predictions. We act as an independent decision layer that evaluates whether AI outputs are reliable enough to be used at a given moment.
Is the input data clean, complete, and within expected ranges?
How certain is the model? Does it know what it doesn't know?
Is the equipment operating normally? Any signs of degradation?
Has the data distribution shifted from what the model was trained on?
Does the proposed action make sense within known physical limits?
How does this situation compare to past decisions and outcomes?
Conditions are good. AI output is trustworthy. Proceed normally.
Some uncertainty. Constrain action to safe parameters.
Elevated risk. Reduce speed and intensity of operation.
High uncertainty. Stop and wait for conditions to stabilize.
Critical situation. Require human approval before proceeding.
If uncertainty increases, the system becomes more conservative. If conditions stabilize, normal operation resumes. All decisions are logged and explainable.
All processing happens locally on the machine. No cloud dependency. No latency. Complete data sovereignty.
Suitable for environments where connectivity is unreliable or prohibited. Safety doesn't depend on a network connection.
Same input, same output. Every time. Critical for certified systems and regulated industries.
Every decision comes with a traceable rationale. Full auditability for compliance, debugging, and continuous improvement.
The problem we solve—deciding whether AI can be trusted before acting—exists in every machine that uses AI to interact with the physical world.
Spectrometers, chromatographs, and analytical instruments requiring real-time decisions.
Metrology and process tools where nanometer precision demands zero false actions.
CNC machines, turbines, and precision manufacturing where downtime costs millions.
Robotics and autonomous vehicles where safety-critical decisions happen in milliseconds.
We're looking for forward-thinking OEMs who want to embed intelligence into their devices—safely. Let's discuss how T&M can become your AI supervision layer.
NDA-ready technical discussions available