Sarvam AI
India's sovereign LLM, built for 22 Indian languages
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 power production assistants (Samvaad and the Indus assistant) across India's many languages. A $234M Series B at a $1.5B valuation (June 2026) made it India's sovereign-AI unicorn.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 24 Jul 2026 and may be out of date or incomplete.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.
Use cases
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
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.
Sarvam is the most credible vehicle for India's sovereign-AI push: Sarvam-30B and Sarvam-105B were trained end-to-end on IndiaAI compute, cover 22 Indian languages, and ship under Apache-2.0, so builders can self-host without licence anxiety. Government backing plus a June 2026 $234M round at a $1.5B valuation — HCLTech led — buys it real runway, and the Indus consumer app gives the models a public face. It isn't chasing GPT or Gemini on frontier capability, the 2025 Sarvam-M episode left trust scars the from-scratch 2026 models are still repairing, and low-resource Indic languages lag the big ones. For India-first products, Indic-language interfaces or data-residency mandates, it's the obvious first call; outside those use cases it's a niche pick.
What people say
February 20, 2026 was the day Sarvam had to prove the sceptics wrong, and it largely did: Sarvam-105B — a mixture-of-experts model activating about 9B parameters per token, with a 128K context window — launched in beta as the Indus app on iOS, Android and the web, and both it and the smaller Sarvam-30B were open-sourced under Apache-2.0 on Hugging Face in early March. Crucially, pre-training, fine-tuning and reinforcement learning all ran in India on GPU capacity provisioned through the IndiaAI Mission. That answers the loudest criticism from 2025, when the Sarvam-M release was widely panned as a Mistral fine-tune dressed up as sovereign AI, and alleged bot-inflated Hugging Face download numbers dented community trust.
The money followed. In June 2026 Sarvam raised a $234M Series B at a $1.5B valuation, led by a $150M strategic cheque from HCLTech, making it India's newest AI unicorn and the flagship of the country's sovereign-AI programme.
Capability claims still deserve the self-reported asterisk: the roughly 90% pairwise win rates over GPT-4o and Gemini across 22 Indian languages come from Sarvam's own evaluations, not independent benchmarks, and translation quality for low-resource languages like Bodo, Kashmiri and Sindhi remains visibly weaker than for Hindi or Tamil. There is no meaningful G2 or Capterra footprint — this is a developer-and-government story, not a SaaS one. Indian developers read as cautiously optimistic: nobody expects it to outreason the frontier labs, but for Indic-language products, speech (Saaras STT, Bulbul TTS), Indic OCR and India data-residency requirements, there is no more credible home-grown option.
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
About this listing
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.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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