AgentAnywhere Swaraj

INDUSTRIES · MANUFACTURING

Ask the plant in plain words, and nothing leaves the plant.

Models on an edge box inside the isolated plant network. An operator's question becomes one structured query or command, and a failing motor is flagged before the line stops.

IN SHORT

For manufacturers, AgentAnywhere runs on an edge box inside the isolated plant network. Tatva turns an operator's plain-language question into a structured query or command for a robot or the local broker, and Sanjaya reads motor and joint telemetry to warn before a failure. The models sit with the operator, never in the control loop or a safety function, and a person approves any change.

01 · The plant network is closed

Operational networks are isolated on purpose. Cloud AI asks for the one thing a plant cannot give: a path out.

02 · The line stops without warning

A bearing wears, a servo drifts, and the first anyone hears of it is when production halts.

03 · Operators are not programmers

The person at the machine should be able to ask in their own words, not page the one engineer who knows where the data lives.

THE UNIFIED VIEW

The floor, and everything that reports to it.

Every place the models work, in one picture. Pick a part of the field to see what runs there. On each machine the model only proposes, and a named person approves.

The field

Illustration

ORBITAIRVEHICLESROBOTSPEOPLESEAA PERSON IN COMMAND

Tatva · Sanjaya

Robots and machines

An instruction becomes one task from a vocabulary the integrator defines, or is declined, and joints and motors are watched for early signs of failure.

AI for robots

HOW EVERY MACHINE STAYS IN HUMAN COMMAND

The model proposes. It never decides.

01

Policy outside the model

Rules are written and versioned outside the model and checked on every proposal. A model cannot talk its way past them.

02

A named person approves

Anything consequential waits for a named person. Their approval, or their refusal, is part of the record.

03

Signed receipts

Every proposal, check and approval is written to a signed, hash-chained receipt that can be verified offline, later, by someone else.

STATED PLAINLY

What this is not.

  • Tatva is not a safety system. Emergency stops and functional safety stay with certified controllers, and the models never sit in the control loop.
  • A person approves any change to a machine or a process.
  • Sanjaya and Drashta are engaged through design partnerships. Vision for inspection is being built, not shipped.

FAQ

Frequently asked questions.

Can AI run inside an isolated plant network?
Yes. The models run on an edge box inside the plant network with no path out, so process data and telemetry never leave the site.
Can a robot take instructions in plain language safely?
Tatva turns an instruction into one task from a vocabulary the integrator defines, or declines it. A policy outside the model checks every task and a named person approves. It is not a safety system: emergency stops and functional safety stay with certified controllers.
Can AI warn of a machine failure before it happens?
Sanjaya reads motor and joint telemetry to warn before a failure, and our demo hub shows this on simulated machines. It is engaged through design partnerships, scoped to your equipment.

Tell us where it has to run.

Tell us the system, the data it may touch and the hardware it has. We will show you the closest demonstration, and tell you plainly what is ready today and what we would build with you.