AgentAnywhere Swaraj

MODEL · ON-DEVICE EDGE

Tatva

तत्त्व

Sovereignty that fits on the device.

Tatva is AgentAnywhere's on-device edge model — small, efficient, and built to run offline, air-gapped, and on modest hardware where connectivity and cloud are not options. It is also the family we train from scratch in India, from token one. Talk to us about Tatva for your edge deployment.

Runs
Offline and air-gapped, on modest hardware — no connectivity required.
Lineage
Trained from scratch in India, from token one. No base model.
Data
Designed to stay on the device — the strongest form of sovereignty there is.
Languages
Indic languages and English, built in from the ground up.

The perimeter isn't always a data centre.

Some of the places that most need intelligence have no cloud to call: a branch on an unreliable link, a field device in a remote district, an air-gapped facility where connectivity is forbidden by design. For those, “runs in your perimeter” has to mean “runs on this box, disconnected” — not “runs in your region.”

Tatva is built for that edge. It is small and efficient enough to run on-device, offline, with the model and the data never leaving the hardware in your hand. It is the same sovereignty principle as the rest of the platform, taken to its limit.

The Tatva line.

Tatva Edge

The on-device command model: one plain-language instruction in, one exact machine command out, or no action at all.

Tatva Nano

Trained from scratch in India with no base model: the lineage proof for the whole line.

Tatva Micro

The smallest Tatva command model, compact enough to run inside a web browser, fully offline.

Tatva Indic

Designed for Indian-language command and understanding across the Tatva line.

What Tatva is built for.

Offline & air-gapped

Runs with no network and no cloud dependency — for facilities and workflows where connectivity is unavailable or not permitted.

Modest hardware

Small and efficient by design, so it runs on the kind of hardware you can put at the edge — not a rack of accelerators.

The field and the frontier

For branches on thin links, remote and rural deployments, and disconnected environments where the work still has to get done.

Built from scratch in India

Tatva is our own from-scratch lineage — trained from token one in India, not a fine-tune of someone else's weights.

Indic from the ground up

Indian languages and English are in the training mix by design.

Provenance, even at the edge

What the model is and how it was trained are on record, and its training sources are listed. Ask us for the list.

Sovereign to the last inch.

With Tatva, the data is designed to stay on the device: Tatva itself transmits nothing, so there is no perimeter to breach. For defence-adjacent, critical-infrastructure, and privacy-critical field use, that is the strongest guarantee on offer.

And because Tatva is trained from scratch, its weights are our own: not a black box borrowed from elsewhere. Ask us for the list of its training sources.

Who Tatva is for.

Field operations, remote and rural deployments, on-prem appliances, and air-gapped facilities — anywhere the work happens at the edge of, or entirely outside, the network, and the data must stay on the device.

Work with us on Tatva.

The from-scratch training programme behind Tatva is underway and measured; where we cite a figure elsewhere on this site, the coverage label — measured, sampled, or estimated — is part of the claim.

We work with teams that have real edge and offline requirements. Talk to us if your deployment lives where the cloud does not reach, and we will show you the closest demonstration and tell you plainly what is ready today and what we would build with you.

FAQ

Frequently asked questions.

What is Tatva?
Tatva is AgentAnywhere's on-device edge model — small and efficient, built to run offline and air-gapped on modest hardware where cloud and connectivity are not options. It is also the family we train from scratch in India, from token one.
Does Tatva need an internet connection?
No. Tatva is built to run offline and air-gapped, on-device, with the model and data never leaving the hardware. It is designed for branches on thin links, remote and rural deployments, and facilities where connectivity is not permitted.
Is Tatva a fine-tune of another model?
No. Tatva is our own from-scratch lineage — trained from token one in India, with no base model underneath.
How do I find out what is ready for my use case?
Talk to us. Tell us the system, the data it may touch and the constraint, and we will show you the closest demonstration and tell you plainly what is ready today and what we would build with you.

Run sovereign intelligence where the cloud can't reach.

If your deployment is offline, air-gapped, or at the edge, talk to us about Tatva.