Sarvam AI

India's sovereign LLM, built for 22 Indian languages

LLMs & Chat Open Source Has API Open Source
Researched · Published
RECATOOLS Score
7.6 / 10
Capability
7.5
Value for money
8.5
Ease of use
7
ASEAN readiness
8
API quality
7
Founded
2023
HQ
Bengaluru, India
Users
India's government-chosen sovereign LLM
Launched
Founded 2023; Sarvam-105B February 2026
Developer
Sarvam AI

Overview

Sarvam AI is the Bengaluru startup chosen by India's IndiaAI Mission to build the country's sovereign large-language-model ecosystem. Its Sarvam-30B and Sarvam-105B models — unveiled in early 2026 and trained from scratch on Indian sovereign compute rather than fine-tuned from Western models — support 22 Indian languages and are released under the open Apache-2.0 licence.

In June 2026 the company became a unicorn, raising $234M (led by HCLTech) at a $1.5B valuation. Sarvam is the spearhead of India's push for home-grown, multilingual, sovereign AI.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 16 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
Free
Open Apache-2.0 model weights (Sarvam-30B / 105B)

Use cases

Indian-language chat and content Voice and agents for Indic languages India-resident / sovereign deployments Government and public-sector AI Self-hosted multilingual models

What you can produce with Sarvam AI

  • A multilingual customer-support chatbot that handles Hindi, Tamil, Telugu, and Marathi queries — including code-mixed Hinglish inputs — without routing to a human agent
  • Automated transcription and translation of audio calls from any of 22 Indian regional languages into structured text for CRM logging
  • A natural-sounding Hindi or Tamil voice IVR flow using Bulbul V3 TTS for banking or government helplines
  • Extraction of tables, invoices, and handwritten forms written in Indian scripts from scanned PDFs into structured JSON or Markdown via the Vision OCR API
  • An AI tutor that explains school-curriculum maths problems in Hinglish, drawing on Sarvam-M's large gains (~+21% on math, including romanized GSM-8K) over its base model
  • Integration of a government-scheme FAQ assistant — citizens ask questions in their native language (e.g., Kannada or Odia) and receive accurate scheme-eligibility answers
  • A regional-language content pipeline that drafts, translates, and publishes product descriptions or news summaries across 10+ Indian languages at near-English token cost and speed
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ASEAN Perspective

Sarvam AI in Southeast Asia

A flagship APAC sovereign-AI project — most relevant for Indian-language workloads and South Asian markets, and a reference point for ASEAN governments weighing their own sovereign-LLM strategies. Open Apache-2.0 weights make it freely self-hostable.

RECATOOLS Verdict

Sarvam AI is the standard-bearer for India's sovereign-AI ambitions — models trained from scratch on Indian compute, fluent across 22 Indian languages, and openly licensed under Apache-2.0 so anyone can build on them. Government backing via the IndiaAI Mission and a June 2026 unicorn round give it real momentum, and for Indian-language products and India-data-residency needs it's uniquely positioned.

Caveats: on raw capability it isn't trying to beat GPT/Gemini head-to-head, the ecosystem is young, and much of its value is tied to Indic-language and sovereign use cases. For builders serving India's linguistic diversity, it's the most credible home-grown option.

Independent AI-assisted assessment by RECATOOLS.

What people say

Sarvam AI draws measured praise for its deep Indic language support. Per Sarvam's own (self-reported, not independent) benchmarks, its Sarvam-105B model and Saaras V3 speech model win roughly 90% of pairwise comparisons against GPT-4o and Gemini across 22 Indian languages; the compact Sarvam-1 (2B) is a smaller base model that beats Llama-3.1 8B on Indic benchmarks. Sarvam Vision scores 93.28% overall on OmniDocBench v1.5 and ~87% average word accuracy across 22 Indian languages on Sarvam's Indic OCR benchmark, and its Bulbul V3 TTS is marketed as natural, expressive, and production-ready. Credibility headwinds remain: the 2025 Sarvam-M release was criticised as a Mistral fine-tune rather than a from-scratch model, and alleged bot-inflated Hugging Face download spikes hurt community trust. Translation quality is weak for low-resource Indic languages (Bodo, Kashmiri, Sindhi), and no solid G2 or Capterra scores exist. Sentiment among Indian developers is cautiously optimistic.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • Chosen by India's IndiaAI Mission to build the national sovereign LLM
  • Sarvam-105B is India's first fully home-trained open-source LLM (105B params)
  • Supports 22 Indian languages
  • Became a unicorn in June 2026 with a $234M round led by HCLTech ($1.5B valuation)

Frequently asked questions

Is Sarvam AI open source?
Yes — its Sarvam-30B and Sarvam-105B models are released under the Apache-2.0 licence and can be downloaded, deployed and modified commercially.
What makes Sarvam different?
It's trained from scratch on Indian sovereign compute (not fine-tuned from Western models) and supports 22 Indian languages — India's government-chosen sovereign LLM.
Who's behind it?
A Bengaluru startup founded by Vivek Raghavan and Pratyush Kumar, backed by the IndiaAI Mission, HCLTech, Khosla Ventures and others.

About this listing

Researched on
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This entry was compiled from publicly available data including Sarvam AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Sarvam AI unless explicitly stated.

Data accuracy

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