We build intelligence that sees the work, understands it and carries it through, from the job site to the balance sheet.
The wellsite turns into a live map. Every valve, tank and pump is connected to every sensor on location: gas detectors, pressure transmitters, air quality, even the wearer’s own heart rate.
A flange starts to leak. The gas is invisible, but the sensors feel it. The system fuses the readings, shows the hazard zone and its source, and routes the wearer upwind while it alerts the rest of the crew.
Everything it does in the fieldThe same intelligence, connected to the work, the people and the money.
Each digital coworker owns a step of the work. The job travels between them with its owner, authority and evidence attached, and the control layer at the center decides what may happen.
Follow a single customer request as digital coworkers turn it into commitments, approvals, physical work and money. Open any action to see the controls around it, or interrupt the process and watch what holds it together.
Replace the failed equipment at this location.Sample job · Site 14 · Rooftop unit 3
A single job touches procurement, inventory, field work, quality, billing, payables, receivables and settlement. Choose an event to see which obligations it changes.
From VR practice to digital coworkers that learn your process, to systems that teach as you go. Getting started happens inside the work itself.
Crews rehearse the real job on a virtual site, with the same guidance they’ll see in the lens.
Digital coworkers learn from your jobs, your procedures and your corrections, and ask when unsure.
Coworkers start by watching and suggesting. Their authority grows only as you grant it.
Every screen shows the next step and why. The system is the training.
MTech gives AI a reliable way to act on its decisions inside a real business, where money moves, equipment ships and people are accountable.
MTech’s architecture keeps every piece of work tied to an owner, an authority and a record as it passes between AI agents, people and systems. An agent proposes. A separate control layer checks the approval, the current record and who owns the step, then acts and records what happened. Unclear answers from the outside world are reconciled before anything is repeated.
When work moves from one agent to another, the transfer of responsibility and the exact approved next action are committed as one step. Either both happen or neither does.
The new owner receives the work with its authority, evidence and obligations attached. The previous owner can no longer act on it.
One owner · one approved next step · one record
See it step by stepThe agent states what it intends to do. A separate control layer holds the credentials and acts only when current authority, a matching approval and the live record all agree.
Permission lives in the control layer
When a supplier or bank stays silent, the system marks the outcome as unknown and checks the outside record before any action is sent again.
Reconcile before replay
Each part of a job has one current owner and a version. An agent working from an old view, or one that no longer owns the step, is turned away before it can act.
One owner per concern
An approval covers one exact, recorded action and is used once. Change the item, the amount or the destination and it is a different action that needs a fresh approval.
One approval, one exact action
Billing and payment depend on the state of the work. An invoice cannot move ahead of the completion evidence it relies on.
Work state governs financial state
Every mechanism on this page answers a real failure. Interrupt the living model and watch which one catches it.
Interrupt the model Step through the architectureThe invention is platform-neutral. It describes how AI-driven work should proceed in any business system. MTech’s products put parts of it to work.
Controlled authority, continuous ownership and recorded evidence for AI carrying work from request to settlement. Available to license and to build on.
People and digital coworkers working side by side. Coworkers own steps of the work; people set direction, approve and decide.
Every step of a process has one owner, a deadline and the evidence that proves it was done.
See where the architecture already runs: digital coworkers, field awareness and process control for operations teams.
Ask about productsBring the architecture into your own platform, with the engineering and support behind it.
Discuss a licenseBring a business process you want AI to carry safely. We’ll design the controls with you.
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