Sarvam AI

Sarvam AI is an Indian AI company that builds large language models (LLMs) and voice AI systems specifically designed for Indian languages. What makes Sarvam different is the approach: while most AI companies add Indian language support as an afterthought — essentially translating their English models — Sarvam builds its AI natively for Indian languages from the ground up. This native approach produces significantly better results: more natural language, better understanding of cultural context, more accurate handling of regional dialects and code-switching (the Indian habit of mixing English words into Indian language sentences), and more appropriate responses to Indian cultural situations. Sarvam currently supports 22+ Indian languages including Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, and many more. The company provides these capabilities through developer APIs, enterprise AI platforms, voice AI products, and an AI assistant platform — enabling any Indian business, developer, or government organisation to build AI products that work for Indian users.

Sarvam AI was co-founded by two of India's most distinguished technology and AI research leaders. Vivek Raghavan is one of the co-founders — he served as Chief Data Scientist at UIDAI (Unique Identification Authority of India), the organisation responsible for Aadhaar, the world's largest biometric identity system enrolling over 1.3 billion Indians. His experience building technology at India's extraordinary scale and diversity directly informed Sarvam's approach to building inclusive AI for all Indians. Pratyush Kumar is the other co-founder — he was a faculty member at IIT Bombay (one of India's most prestigious engineering universities) where his research focused on natural language processing for Indian languages. He was also involved with AI4Bharat, an open-source initiative developing AI resources for Indian languages. Together, Vivek's India-scale deployment experience and Pratyush's deep Indian language AI research expertise make them uniquely well-equipped to build foundational AI for India.

This is one of the most important questions in the Indian technology sector. Approximately 90% of India's 1.4 billion people are not comfortably fluent in English — meaning that the vast majority of Indians cannot effectively use AI tools that are primarily built for English speakers. For these hundreds of millions of people, the AI revolution has been largely inaccessible. A farmer in Bihar cannot get crop advice from an AI that only speaks English. A small business owner in a Tamil Nadu town cannot use an AI tool that does not understand Tamil. A first-generation smartphone user in a tier-3 city in Maharashtra cannot benefit from AI that only responds naturally in English. Building AI for Indian languages is not just a commercial opportunity — it is about equity and inclusion. The potential productivity gains, educational improvements, healthcare access improvements, and economic empowerment that AI can provide should be available to every Indian, not just the English-speaking elite. Sarvam AI's mission is to ensure that the AI era does not deepen India's existing inequalities but instead helps reduce them by making powerful AI accessible to every Indian in the language they are most comfortable with.

Sarvam AI raised $41 million in a Series A funding round announced in February 2024. The round was co-led by Lightspeed Venture Partners and Peak XV Partners (formerly Sequoia Capital India) — two of the world's most respected technology venture capital firms. This was one of the largest Series A rounds ever raised by an Indian AI startup and represented a strong vote of confidence in both Sarvam's team and its mission of building indigenous AI for Indian languages. The funding is being used to expand the team, accelerate model research and development, scale infrastructure for enterprise customers, and build consumer AI products. Prior to the Series A, Sarvam had raised seed funding to begin operations and build its initial products.

Sarvam AI offers a range of AI products and APIs organised around its core capabilities. Speech-to-Text (Saarika): highly accurate automatic speech recognition for Indian languages — converts spoken audio in Hindi, Tamil, Telugu, Kannada, and other supported languages to text. Text-to-Speech (Bulbul): natural, expressive voice synthesis in Indian languages — generates audio that sounds genuinely natural to Indian ears. Language Translation: high-quality translation between Indian languages and between English and Indian languages — going beyond dictionary translation to produce natural, idiomatic output. Large Language Models (Sarvam-1 and successors): conversational AI and text generation natively in Indian languages. Multilingual Chat/AI Assistant: an AI assistant that users can interact with in any supported Indian language. Enterprise AI Platform: customised deployments with fine-tuning, security, and integration with enterprise systems. All of these capabilities are available through well-documented REST APIs that developers can integrate into their own applications.

Sarvam-1 is Sarvam AI's foundational large language model (LLM) — specifically built and trained for Indian languages. It is one of India's first domestically developed foundational AI models, representing a significant milestone in India's AI capabilities. Before models like Sarvam-1, any Indian company or developer wanting to build an AI-powered product had to use large language models developed by American companies (primarily OpenAI's GPT series, Meta's LLaMA, or Google's models) that were built primarily for English with Indian languages as secondary additions. Sarvam-1 provides an Indian alternative — a model trained with Indian languages as first-class citizens, with better performance on Indian language tasks, better cultural understanding, and data processing that happens within India's borders. The model is the foundation on which Sarvam's other products are built, and it powers the enterprise deployments and API services that businesses and developers use to build AI applications for Indian users.

Yes — voice AI is one of Sarvam AI's most important and distinctive capabilities. Voice AI is particularly significant for India for several reasons. Many Indians are more comfortable speaking than typing. Many users have limited digital literacy and find voice interfaces much easier to use than text-based interfaces. Voice eliminates literacy barriers entirely — allowing even non-literate users to access AI-powered services by speaking in their own language. Sarvam's voice AI includes Saarika (speech-to-text) — highly accurate recognition that handles Indian accents, regional dialects, and code-switching (mixing English words with Indian language sentences). And Bulbul (text-to-speech) — natural voice synthesis that produces audio that sounds genuinely natural to Indian ears, with appropriate intonation, rhythm, and pronunciation for each Indian language. Together, these capabilities enable voice-first AI applications that are essential for reaching India's mass market — applications that work for users by speaking and listening, with no requirement for typing.

Sarvam AI serves several categories of customers and users. Enterprise businesses use Sarvam to build customer-facing AI products — customer support chatbots, AI voice assistants, multilingual help desks, and document processing — in Indian languages. Government organisations use Sarvam to deploy AI-powered citizen services — information hotlines, scheme eligibility assistants, and document guidance — making government services accessible to Indians who do not speak English. Startups building for India's domestic market use Sarvam's APIs to add Indian language AI capabilities to their products without needing to build AI from scratch. Developers building any application that needs to serve Indian language users integrate Sarvam's APIs for speech recognition, text-to-speech, translation, and conversational AI. Education technology companies use Sarvam to build AI tutors and learning tools that work in Indian languages. Healthcare companies use Sarvam for patient communication and health information in local languages. And individuals increasingly access Sarvam's consumer AI products directly for everyday tasks.

Data privacy is particularly important for Sarvam AI because it processes sensitive information — including voice recordings, personal queries, and potentially financial or health information — for a large number of Indian users. Sarvam processes data within India — keeping Indian users' data on infrastructure located in India rather than sending it to overseas servers. This is important both for privacy and for compliance with India's Personal Data Protection framework. For enterprise customers, Sarvam provides data processing agreements that specify how customer data is handled, stored, and protected. Enterprise deployments can be configured to ensure customer data does not leave the enterprise's own environment. Sarvam does not train its models on individual users' private data without appropriate consent and safeguards. The company's approach to privacy is shaped by the recognition that Indian users, particularly those from lower-income backgrounds who may be new to digital services, need to be able to trust that their interactions with AI are private and secure.

Sarvam AI's roadmap is focused on several directions. Continued model improvement: each generation of Sarvam's LLMs and voice AI models will be significantly more capable than the previous one — better language understanding, more natural outputs, broader vocabulary, and more accurate handling of specialized domains. Language expansion: expanding beyond the current 22+ supported languages to cover more Indian languages and dialects, including smaller languages that are currently underserved. Enterprise product expansion: building more specialised enterprise AI solutions for specific industries — banking, healthcare, government, retail — with the specific features and integrations those sectors need. Consumer products: developing AI consumer products that give individual Indian users access to Sarvam's AI capabilities directly, not just through enterprise applications. Government AI: deepening partnerships with central and state government organisations to deploy AI for citizen services at scale across India. AI agents: building increasingly autonomous AI agents that can complete complex multi-step tasks in Indian languages — moving beyond answering questions to completing workflows on behalf of users. The overarching direction is toward making Sarvam AI the foundational AI layer for India's digital economy — the platform that any Indian business, developer, or government organisation builds on when they need AI capabilities.