Funding · AI & Deep Tech

Sarvam AI nears $300M-$350M funding at $1.5B valuation

By Startup Enthusiast · 4 April 2026

What they do

Sarvam AI builds a full-stack sovereign AI platform with voice-first systems supporting 22 Indian languages

It is close to raising $300M-$350M led by Bessemer Venture Partners, with Nvidia, Amazon, and Prosperity7 Ventures participating

The round values the company at $1.5B-$1.55B and signals growing investor interest in India's sovereign AI push

Sarvam AI is close to raising a $300M-$350M new funding round.
The round is led by Bessemer Venture Partners.
Participating investors include Nvidia, Amazon, and Prosperity7 Ventures.
The valuation is expected to be $1.5B-$1.55B.
The round may close as early as next week (from 4 April 2026).
Sarvam AI showcased its technology at the AI Impact summit in New Delhi earlier in 2026.
India is building sovereign AI to reduce reliance on US and Chinese models.
The IndiaAI Mission is a government programme with an outlay of about ₹10,372 crore.

This round highlights strong investor confidence in India's sovereign AI ecosystem.
Sarvam AI's focus on Indian languages and domestic compute aligns with the government's IndiaAI Mission.
The participation of Nvidia and Amazon signals strategic interest in India's AI infrastructure.

Sarvam AI develops large language models (LLMs) with 30B and 105B parameters, trained domestically.
Its voice-first systems support 22 Indian languages.
The company is developing 'agentic' AI systems for coding and scheduling with minimal human input.
It targets enterprise adoption in India's digital economy.
Infrastructure support comes from access to NVIDIA H100 chips via Yotta Data Services.
Products include Voice Agents, Text to Speech, Speech to Text, Document Digitisation, and Translation.
Voice agent use cases include Cart Recovery Nudge, EMI Payment Reminder, and Appointment Booking.
Text to Speech offers natural voices across 11 Indic languages.
Speech to Text provides high-accuracy ASR across 12 Indic languages.
Translation works across 23 languages.
Document Digitisation converts PDFs and images into structured formats.
APIs include REST API and Python SDK (`pip install sarvamai`), plus a Playground for browser testing.
Deployment options are Sarvam Cloud, Private Cloud (VPC), and On-Premises (air-gapped).
Compliance includes SOC 2 Type II, ISO 27001, and DPDP.
The company has served 10B+ tokens with a median latency of <100ms and an uptime SLA of 99.9%.
Customer Shallu Kaushik said the partnership enabled scaling personalized multilingual conversations for consumer loan products.

Product: Foundation models and agentic AI systems with voice capabilities and enterprise applications
Customers: Enterprise customers across finance, aviation, telecom and government sectors
How it makes money: SaaS and licensing model for AI models and enterprise AI applications
What sets it apart: India-built sovereign AI stack with focus on cost-effective deployment and localization