Simulated · CGI
AI FOR MACHINES · DRONES AND UAVS
An aircraft that still understands you when the link is gone.
Our models run on the aircraft and the ground station, offline. An operator speaks a plain instruction; it becomes one exact command, a policy outside the model checks it, and a person approves before anything flies.
IN SHORT
AgentAnywhere's AI for drones runs on the aircraft's companion computer and the ground station with no cloud connection. Tatva Edge turns an operator's plain-language instruction into one structured command or declines it, Sanjaya watches fleet health, and Drashta reads imagery for an analyst. A policy outside the model checks every command and a named person approves anything consequential.
- Runs offline, on the machine
- Sized for constrained hardware
- Approved by the pilot in command
THE PROBLEM
The places drones matter most are the places the cloud isn't.
A survey line over a pipeline, a search grid after a flood, a perimeter at a remote site: the link is thin, contested, or not allowed. An aircraft whose intelligence lives in a distant data centre stops being useful exactly when it is needed.
So the model has to be on the aircraft, understand the operator in their own words, and refuse what is out of scope. And a person still has to be in command of anything that matters.
ON THE DEVICE · OFFLINE
What runs where.
Three families, each with one job, all on hardware you own. None of them needs a network to do it.
Language to one machine command — or none.
Turns a spoken or typed instruction into exactly one flight command — take off, survey this block, return home — or no action if it is out of scope.
Where · Tatva Edge on the aircraft's companion computer or the ground station, offline.
Fleet and telemetry intelligence — the warning before the failure.
Watches battery, link and subsystem health across the fleet and warns before a fault grounds an aircraft.
Where · On the ground station, next to the fleet board. No telemetry leaves the site.
Machine vision — finds aircraft and structures in imagery; an analyst decides.
Finds aircraft and structures in aerial imagery and lists them for an analyst to review.
Where · On a ground workstation, air-gapped. The analyst decides what a finding means.
DEMOS · LIVE ON THE DEMO HUB
Drone demos you can open today.
Every one of these runs on our demo hub. The aircraft and scenes are simulated; the Tatva Edge commands in them are real recorded model output, and each demo says on screen which parts are which.
Simulated · CGI
Swarm Handover
A swarm of hundreds of drones flies over a town in formation. Fail the leader and the swarm elects a new one on board and re-forms. Speak a command from mission control: it becomes one exact command, policy checks it, a person approves.
Leader handover is a concept built with design partners.
Simulated · CGI
Drone Mission Ops
One operator, one copilot, a whole airspace in 3D. Drive three missions — a solar-farm inspection, a search-and-rescue sweep and a perimeter patrol — approving or rejecting each recommendation, then verify the signed receipts yourself.
Flights are simulated; the policy, referee and receipt code is real.
Simulated · CGI
Border Recon
Three drones keep watch on a fence line from before dawn to sunrise. When something moves, an aircraft keeps its camera on it and mission control gets an alert with three choices for a person. Awareness and monitoring only.
Detection and tracking are a perception concept built with design partners.
Simulated · CGI
Farm Watch
Survey drones map crop stress over small plots between a canal and a village. The planner proposes spraying only around the pests and keeps clear of the water; the farmer approves before the sprayer lifts off.
Crop-health detection is a perception concept built with design partners.
Simulated · CGI
Sky Canvas
A drone light show paints the Tiranga, the map of India and a portrait of Mahatma Gandhi over a riverfront. Every move is planned and checked before anything flies, and nothing moves until a person presses the button.
Illustration
Sense, reason, act
A drone sweeps a terrain scene as an orbitable 3D theatre. Drashta's findings appear as the sensor passes, Sanjaya raises an early warning on the aircraft's health, and the command model runs alongside.
The 3D scene is a visualisation; the detections, health readings and commands are recorded model output.
Illustration
Tatva Micro in your browser
Not a replay: the on-device command model loads into your browser tab and runs there. Type a drone command and it compiles one exact action, or declines. Turn off Wi-Fi and it still works.
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 pilot in command.
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 an AI model run on a drone without an internet connection?
- Yes. Tatva Edge is sized for the kind of companion computer a drone already carries and runs with no network at all. It turns an operator's plain-language instruction into one structured command or declines it. Nothing is sent to a cloud to be understood.
- Who approves what the drone does?
- A named person. The model only proposes a command; a policy written outside the model checks it against the mission's rules and the pilot in command approves anything consequential. Every step is written to a signed receipt.
- Are the drone demos real flights?
- No. The aircraft and scenes are simulated and every demo is labelled as such. The Tatva Edge commands inside them are real recorded model output, and the policy, referee and receipt code runs for real on the scenario.
- Is this a weapons or targeting system?
- No. Tatva and Drashta are not targeting or engagement systems and are never placed in a weapons-release chain. The drone use cases are awareness, inspection, mapping, search and rescue, agriculture and light shows.
- How do I see the drone demos?
- The demo hub is behind sign-in. Request demo access from this page and we will set you up, or book a walkthrough on your own mission.
Claims last reviewed . Demos are simulated demonstrations; each one says on screen which parts are real model output.
Bring us your drones and UAVs.
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.