MODEL · GENERAL REASONING
Manthan
मंथनReasoning that stays inside your walls.
Manthan is AgentAnywhere's sovereign general-reasoning assistant — analysis, synthesis, long-context understanding, and structured output across enterprise work, in English and Indian languages. It runs inside your perimeter, on an open foundation model we serve, with the same trust layer as the rest of the platform in front of the model, and every step recorded. Talk to us about Manthan for your workflows.
- Deployment
- In your perimeter — region-pinned or air-gapped. Your cloud, your jurisdiction.
- Languages
- English and Indian languages, including code-mixed input. Talk to us about the languages your work needs.
- Every call
- PII masked with a Trust Receipt for each mask, requests screened for injection and unsafe output, every step recorded.
- Numbers
- Published once they have been measured.
The reasoning tier, without the exfiltration.
Most enterprises reach for a frontier model the moment a task needs real reasoning — and in doing so, send their most sensitive documents to someone else's cloud. For a bank, a hospital, or a government, that trade is not available. The work that most needs a reasoning model is the work that most cannot leave the building.
Manthan is the answer to that bind: a capable general-reasoning model that runs where your data already lives, under your governance, with every step recorded. You get the reasoning tier without giving up the perimeter.
What Manthan does.
A general-reasoning model for the analytical work that fills a knowledge worker's day.
Long-context understanding
Reads across long documents and multi-part inputs and holds the thread — so the answer reflects the whole, not the last page.
Analysis & synthesis
Pulls signal from dense material — reports, policies, research — and synthesises it into something a person can act on.
Structured output
Returns answers in the shape your systems expect — fields, tables, and typed records — not just prose to re-parse.
Indic and English
Works in English and Indian languages, including the code-mixed way people actually write. Talk to us about the languages your work needs.
Drafting & decision support
Drafts, summarises, and lays out options with their trade-offs — support for a human decision, with the human in the loop.
Answerable, not just answered
Every step is recorded, so a reasoning step in a regulated process is auditable after the fact.
Behind the same trust layer as everything else.
Manthan runs with the platform's trust layer in front of the model. Aavaran masks PII before the model sees it, with a signed Trust Receipt for each masking call, Kavach is designed to sit in front of the model as a proxy and screen each request for prompt injection and unsafe output, and every step of a run is recorded.
It deploys inside your perimeter, in your own cloud and jurisdiction: SOC 2 and ISO 27001 certified, independently assessed for HIPAA and GDPR, designed to support India's DPDP Act and the RBI FREE-AI framework. The reasoning happens where the data is — not the other way around.
Who Manthan is for.
Enterprises and institutions that need a capable reasoning model for analysis, drafting, and decision support — but whose data cannot go to a public frontier model. Banks, insurers, hospitals, governments, and the teams building sovereign applications on top of the platform.
Work with us on Manthan.
Talk to us about Manthan for your workflows. 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.
We work with teams who want to build against Manthan and help shape it. We publish numbers for Manthan once they have been measured.
FAQ
Frequently asked questions.
- What is Manthan?
- Manthan is AgentAnywhere's sovereign general-reasoning assistant — analysis, synthesis, long-context understanding, and structured output, in English and Indian languages. It runs inside your perimeter, on an open foundation model we serve, with the platform's trust layer in front of the model, and every step recorded.
- How is Manthan different from a frontier model on a public cloud?
- Manthan runs inside your perimeter — your cloud, your jurisdiction — so your data is designed to stay in the building, and every call is designed to be masked and screened, with every step recorded for audit. It is the reasoning tier without the data-exfiltration trade.
- Which languages does Manthan handle?
- Indian languages and English, including code-mixed text — reasoning across the languages your organisation and its customers actually use, not English-only with translation bolted on.
- 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.
Put the reasoning tier inside your perimeter.
If you need real reasoning but your data cannot leave the building, talk to us about Manthan for your workflows.