INDIA'S SOVEREIGN AI PLATFORM
Don’t rent your intelligence.Own it.
WHAT WE ARE
We build our own AI models in India. And the trust layer to run any model inside your borders.
From-scratch coding, reasoning and vertical models, trained here — and a sovereign trust layer to run them, any open model, or your own, entirely inside your borders. Every decision masked, shielded, and signed with proof you can audit.
SOC 2 & ISO 27001 certified · independently assessed for HIPAA & GDPR · designed to support India’s RBI FREE-AI framework
THE PROBLEM
In regulated industries, AI you can’t govern is AI you can’t use.
A hallucination becomes a compliance event. A prompt that leaves the country breaks the law.
THE PLATFORM
One sovereign platform. Everything runs inside your walls.
ONE SOVEREIGN SYSTEM
Model Hub picks the model. The trust layer signs the call. Everything runs inside your perimeter.
Watch one request make the trip: masked, shielded, routed by the hub to the right model for the job — coding, reasoning, or a vertical — and signed on the way out. Different intent, different model; same governance, same perimeter, every time.
Model Hub
A governance-aware catalog. Every model carries provenance, evaluation history, and policy bindings — the hub picks the right model under the right governance, and can prove why.
Sovereign
The perimeter itself. Deploy the whole platform on your cloud, your jurisdiction, your keys — region-pinned or air-gapped. Nothing in this picture leaves your boundary.
Our models + the Trust Platform
Coding, reasoning, and vertical models built in India — every call to them masked by Veil, shielded by Kavach, and closed with a signed Trust Receipt.
INDIA’S SOVEREIGN AI PORTFOLIO
A family of models built in India — served inside a trust layer that is live today.
Taksha, our sovereign AI engineer, is in developers’ hands now — with an independent referee that checks its work and says so when a claim doesn’t verify. Behind it, six more families are being proven the same way Taksha was — execution-graded testing, hardened with design partners — so every model arrives with the testing already behind it.
The wedge: every model serves behind a trust layer that is live product, not roadmap
Kavach
Inline AI-security shield on every call
The sovereignty layer has its own home: AgentAnywhere Swaraj (स्वराज — self-rule) — agentic AI that never leaves your borders, with signed proof on every call and region-pinned deployment.
Works in VS Code (our extension, with the independent referee), Zed, Aider, and any OpenAI-compatible editor — two-minute setup guide.
Measured, not claimed
Every model here passed a gate before it was allowed to ship.
Not a leaderboard screenshot. Our own battery, run on our own infrastructure, graded by executing the output rather than trusting it. When a model loses, it does not ship — that has already happened twice.
Agentic tasks completed
Taksha Pro and Taksha Max each finished every task in the graded battery.
5 task classes × 9 runs per model, graded by executing the result — not by asking the model. Run separately for Pro and for Max.
Phantom completions
Zero runs claimed success without doing the work.
A phantom is a run that finishes fast, calls no tools, and reports success. We count them because they are the dangerous failure.
Mutation-kill rate
Taksha Pariksha catches seeded defects at parity with a leading frontier model.
We break the code on purpose and require the suite to go red. 57 of 64 mutants killed, zero invalid suites.
mAP50, oriented detection
Tatva Astra, trained on a clean-lineage commercial dataset.
Held-out test split. No research-only data in the shipped engine.
Two candidate models failed these gates and were rejected rather than shipped — a coding fine-tune that regressed against the model it was meant to replace, and a first UI specialist that did not beat its own baseline. We publish that for the same reason we publish the rest: a number you cannot fail is not a measurement.
BUILT TO THE STANDARDS REGULATED INSTITUTIONS REQUIRE
- SOC 2CERTIFIED
- ISO 27001CERTIFIED
- HIPAAINDEPENDENTLY ASSESSED
- GDPRINDEPENDENTLY ASSESSED
- DPDP ActDESIGNED TO SUPPORT
- RBI FREE-AIDESIGNED TO SUPPORT
SOC 2 and ISO 27001 are held certifications. HIPAA and GDPR readiness is independently assessed. The platform is designed to support India’s DPDP Act and the RBI FREE-AI framework — each claim stated exactly as strong as it is.
SOVEREIGN CODING PLATFORM
AI coding your enterprise actually owns — your model, your region, your rules.
Our own sovereign model behind a policy gateway, with a signed Trust Receipt on every completion. Run it hosted and region-pinned, or drop the whole control plane inside your VPC and air-gap it. Your source never trains anyone else’s model.
Start free in any OpenAI-compatible editor — Continue, Cline, Zed, Cursor — metered in credits at a fraction of the closest hosted rival.
PRICING AT A GLANCE
Free
500K credits · invite-only
$0
Dev
15M credits · Fast + Max
$9/mo
≈ ₹899/mo
Team
Pooled credits · Pro model
$19/seat
≈ ₹1,849/seat
Enterprise
Flat, unlimited, air-gapped
In-VPC
Credits = tokens × model weight (Fast 1× · Pro 5× · Max 20×, reflecting its dedicated node). Pay in USD or INR · buy top-up packs any time.
TEN CAPABILITIES · ONE PLATFORM
Designed to work as one system. Documented to be audited as one.
You build on the surface. Every call routes through one gateway — to any model, under a trust layer that signs it — all inside your perimeter.
02 · One control point
Every call routes through here
03 · Any model, sovereign
The intelligence, inside your walls
DOGFOOD
We run our own company on AgentAnywhere.
Our marketing team's lead generation runs on agents we built in Flow Studio. Our sales team responds to enterprise RFPs with our RFP Agent. Our legal team reviews contracts with our Legal Agent. Our cloud spend is managed by Cloud Optimizer. Our content engine is staffed by agents we built ourselves, deployed in our own AgentAnywhere instance.
Every claim we make about the platform's production readiness, we make as a customer first.
WHO RUNS WHAT
Marketing
Lead generation in Flow Studio
Sales
RFP Agent
Legal
Legal Agent
Infrastructure
Cloud Optimizer
Content
Bespoke agents in our own instance
THE CLIMB
Frontier-class intelligence, built in India from scratch — climbed rung by rung, every rung measured.
India built its own space programme one launch at a time. We are building its intelligence the same way — not a press release, a ladder. Each rung ships only after it passes the same execution-graded gate as the last, and we publish the number either way.
Where we are — measured
Where we’re going — our aspiration
A sovereign frontier model for India, at the scale the frontier demands — on the order of a trillion parameters, trained here, owned here.
That is the destination, and we are honest about the distance: it is gated on data and compute, not ambition, and every rung between here and there will be measured and published the same way — efficiency levers first (MLA proven, mixture-of-experts next), so the climb is capability per rupee, not scale for its own sake. We would rather show you the meter than sell you the mountain.
OPEN SOURCE
We open-source the parts you would otherwise take on faith.
Four Apache-2.0 projects at the control points: Shuddhi decides what a model may learn from, the Universal Gateway decides what an agent may call, Model Hub records which model is serving, and the Annotator produces the labels underneath. A governance claim you cannot read is a claim you cannot check.
If you are building agentic AI that has to actually work, we should talk.
For pilot requests, partnership inquiries, and architecture conversations.