Sarvam

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗔𝗰𝘁𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 𝗙𝗲𝗹𝗹𝗼𝘄𝘀 India’s best student AI builders are already out there. Shipping side projects at 2am, contributing to open source, fine-tuning models in dorm rooms, building things that don’t quite exist yet. We want to help them succeed. Activate AI Fellows is an 8-week summer fellowship placing 15 exceptional student builders inside India’s leading AI startups in Bangalore. Fellows work directly on real product and engineering problems while becoming part of a tight cohort of ambitious builders. 𝗪𝗵𝗼 𝘄𝗲’𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿. People who ship fast, think independently, and have founder energy. We don’t care where you studied. We care about what you’ve built. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂’𝗹𝗹 𝗱𝗼. Work on real problems. Get paid. Meet exceptional founders and builders. Build relationships that compound for years. 𝗪𝗵𝗮𝘁 𝘄𝗲 𝘄𝗮𝗻𝘁 𝗯𝗮𝗰𝗸. Nothing. Just show up and build. Program starts June 1st. Applications close on 15th May. https://lnkd.in/ezFa2_ht Pratyush Choudhury ☁️ Aakrit Vaish Sriram Rajamani Garvit Juniwal Nirant Kasliwal Anshul Bhide Debdoot Mukherjee

Sarvam is partnering with YCP India to accelerate enterprise AI in India. Together, we're pairing Sarvam's full-stack sovereign AI platform with YCP's deep cross-sector expertise and execution muscle to identify the highest-impact use cases and help enterprises capture the full value of AI.

We are excited to announce that Sarvam is partnering with Pixxel to power the AI backbone of India's first orbital data centre satellite. This is a first for the country. India-built AI models will run on an India-built satellite, with both training and inference happening directly in orbit, without any dependence on foreign cloud or ground infrastructure. Most satellites collect data and ship it home for processing. This mission changes that. The demonstrator satellite will carry datacenter-class GPUs in orbit, the same hardware that powers AI on the ground, with our models running on board and analysing hyperspectral imagery in real time as it is captured. For us, this is the natural next step. AI infrastructure is a sovereignty question, and we have been building India's full-stack AI platform from the ground up. The goal has always been to make intelligence accessible to everyone, everywhere. Now, everywhere includes space. Proud to be on board this mission. Read more about the partnership here: https://lnkd.in/gCf32ZTa

At AWS Summit Bengaluru 2026, Pratyush Kumar spoke about what’s next for Sarvam, focusing on distribution at scale and making AI accessible to every citizen in India in a meaningful way. From foundation models trained from scratch to the full stack of how AI actually reaches people, the talk covered the bet we’ve taken and where we’re taking it next. Sarvam was present at the Startup Zone, and the energy from developers and students was hard to miss. The push to build cutting-edge AI in India has never been stronger. We’re backing builders through our Startup Program with API credits, ready-to-use infrastructure, and hands-on support. The goal is to activate the ecosystem and empower builders to build with AI. Apply to the program: https://lnkd.in/gva7jrGb

We're open-sourcing two frameworks for evaluating Indian ASR, and a full guide on evaluation across 22 languages. WER (Word Error Rate) and CER (Character Error Rate) were built for languages like English. Indian languages behave differently. Formal and colloquial forms coexist. English words move fluidly between scripts. In this guide, we introduce four complementary metrics LLM-WER, LLM-CER, Intent Score, and Entity Preservation Score. In combination they capture a more complete view of Indian ASR system performance. Read more: https://lnkd.in/gPd5CWsi Both frameworks are available to use and build on for evaluating Indian ASR in real-world settings. Open-source frameworks: LLM-WER/CER: https://lnkd.in/g-h3jn6n Intent + Entity Score: https://lnkd.in/g4GBkhg8

At GitHub Constellation, the Sarvam engineering team shared their journey scaling large language models from early pre-training to post-training a 105B Mixture-of-Experts model. In the session, they covered key challenges across large-scale pretraining, reinforcement learning, and multimodal capabilities across vision and speech, with a focus on real engineering trade-offs and lessons learned.

We've been quietly building something over the past year - applying our full-stack AI to problems of national consequence and complex enterprises. Now we're scaling the vertical behind it - Chanakya. Think skunkworks, not services. On-prem deployments in air-gapped environments. Multi-modal data ingestion. Production-grade agentic workflows for institutions where failure isn't an option. The systems this team builds will have dual use - enterprise and strategic sector. Hiring across engineering, product, data science, and delivery. If you've deployed LLM inference on-prem, built for high-stakes users, configured agentic workflows in production, or just learn new technical paradigms absurdly fast, apply here: https://lnkd.in/gHnK7YzH Tell us who you are, what you've built, example repos/specs, and why this matters to you. Pratyush Kumar Vivek Raghavan Aalekh Sharan

Honoured to be recognised as a Winner at the AIBoomi Awards in the Frontier AI category. We would like to thank AIBoomi (formerly SaaSBoomi), the jury, and everyone who has believed in what we're building at Sarvam.

Excited to partner with Razorpay to power the next generation of voice-first, conversational commerce. The partnership brings together Sarvam's models and agentic stack with Razorpay's agentic payments infrastructure, allowing customers to discover products, place orders, and complete payments simply by conversing in their language. The experience will initially launch with Swiggy as an early partner, enabling customers to order food by speaking directly to an AI assistant on the Indus App.

Jensen Huang spotlighted Sarvam during his keynote at NVIDIA GTC.