Simulated · CGI
AI FOR MACHINES · ROBOTS AND HUMANOIDS
Say it in a sentence. The robot proposes, a person approves.
Our models run on the robot, offline. A worker's instruction becomes one exact task from a vocabulary you define, a policy outside the model checks it against the floor's rules, and a named person approves before the robot moves.
IN SHORT
AgentAnywhere's AI for robots runs on the robot's own computer with no internet connection. Tatva Edge turns a plain-language instruction into one task from a vocabulary the integrator defines, or declines it; Sanjaya watches joints and motors for early signs of failure; Drashta can read the scene. A policy outside the model checks every task and a named person approves.
- Runs offline, on the machine
- Sized for constrained hardware
- Approved by the floor supervisor
THE PROBLEM
Robots are programmed by the few and used by the many.
The person standing next to the machine — a line operator, a picker, a technician, a nurse — usually cannot tell it what they need without a pendant, a tablet flow or a call to someone who can.
And the places robots work are the places the cloud does not reach: factory floors with no outside network, warehouses with dead zones, hospitals where floor data must not leave the building.
ON THE DEVICE · OFFLINE
What runs where.
Three families, each with one job, on the robot and the cell controller. Balance, motion and safety stay with the robot's own systems.
Language to one machine command — or none.
Turns a sentence — in English, Hinglish or another Indian language — into one exact task: go to bay two, pick the tote, inspect the valve. Or no action, if it is out of scope.
Where · Tatva Edge on the robot's own computer, offline. Task level only; never motors, balance or safety.
Fleet and telemetry intelligence — the warning before the failure.
Reads joint, motor and battery telemetry and warns before a part fails, so the robot returns to dock instead of stopping on the floor.
Where · On the robot or the cell controller. Floor data stays on the floor.
Machine vision — finds aircraft and structures in imagery; an analyst decides.
Reads what the camera sees and hands findings to the person responsible.
Where · On the robot or an edge box in the cell. Findings go to a person, never straight to a motion command.
DEMOS · LIVE ON THE DEMO HUB
Robot demos you can open today.
Every one of these runs on our demo hub. The robots and scenes are drawn; the commands, health readings and vision values in them are real recorded model output unless a card says otherwise.
Simulated · CGI
Humanoid Assist
A humanoid on a facility floor takes task commands in English and Hinglish. Tatva Edge proposes, the policy checks — and blocks a shortcut through a people-only walkway — a named person approves, and every step is signed.
Illustration
Robot Cell
A robot arm works its cycle while a joint slowly degrades. Sanjaya's health signal falls, the elbow glows red, and a maintenance alert fires before the failure. Drag to orbit the cell.
The arm is a visualisation; the joint-health, vision and command values are recorded model output.
Illustration
Robot Mission
A humanoid, two ground robots and a drone carry out an inspection mission at a remote site. Tatva Edge compiles each operator command, Drashta reads the aerial frame, and Sanjaya calls a unit back to dock before a fault.
An inspection mission, with the operator in the loop at every step.
Illustration
Tatva Micro in your browser
Not a replay: the on-device command model loads into your browser tab. Type a robot command — navigate, inspect, gripper, arm-move — and it compiles one exact action, or declines. It works with Wi-Fi off.
Illustration
Predict a failing joint
The telemetry model that reads spacecraft channels, applied to a robot's motors and joints: a warning ahead of failure, on the device, with no cloud.
The demo hub is behind sign-in. If you don't have access yet, ask us — we'll set you up, or walk you through it live.
Request demo accessHOW EVERY MACHINE STAYS IN HUMAN COMMAND
The model proposes. It never decides.
On this machine, the named person is the floor supervisor.
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.
A named person approves
Anything consequential waits for a named person. Their approval, or their refusal, is part of the record.
Signed receipts
Every proposal, check and approval is written to a signed, hash-chained receipt that can be verified offline, later, by someone else.
WHAT WE DO NOT CLAIM
The boundary, stated.
FAQ
Frequently asked questions.
- Can a robot understand plain-language commands offline?
- Yes. Tatva Edge runs on the robot's own computer and turns a sentence into one exact task from a vocabulary you define, or returns no action. No cloud round-trip is needed and no floor data leaves the building.
- Does the AI control the robot's motors or balance?
- No. Tatva works at task level only — which task to do next. Balance, gait, motion and safety stay with the robot's own controller, which the model does not touch.
- What stops a robot doing something unsafe it was told to do?
- A policy written outside the model checks every proposed task against the floor's rules — keep-out zones, people-only walkways, speed limits — and a named person approves anything consequential. The humanoid demo shows a blocked task.
- Does this work for humanoid robots?
- The Humanoid Assist demo shows the full loop on a humanoid: propose, check, approve, execute, sign. Humanoid-specific builds are design-partner work; see the Tatva humanoids page for more.
- How do I see the robot demos?
- The demo hub is behind sign-in. Request demo access from this page, or ask for a walkthrough on your own task list.
Claims last reviewed . Demos are simulated demonstrations; each one says on screen which parts are real model output.
Bring us your robots and humanoids.
Tell us the machine, the mission and the hardware. We'll show you the demo on your scenario, and tell you honestly what is ready and what we would build with you.