Three days to go until Sarvam Epoch, our flagship AI conference.
The countdown is on at Sarvam HQ. Here’s a teaser of what we’re launching.
Register now to join us in person: https://t.co/5PCNP1gUIm
@caleb_friesen
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Sarvam Epoch | Chapter 1
Join us for the first edition of Sarvam Epoch, our flagship AI conference, in Bengaluru.
Across the two days, we will share new model updates, launch new products, present our latest research, and host hands-on technical workshops.
Builder Edition, 30 July | Enterprise Edition, 31 July
Register here: https://t.co/WD4z1oovEC
We're thrilled to announce that we have raised $234M in the first close of our $300M Series B at a $1.5B valuation.
@HCLTech and @BessemerVP have joined us in this round, alongside continued support from @khoslaventures and @peakxvpartners
For countries and companies, sovereign control on the AI stack is no longer an optionality. Sarvam will be the partner of choice for this aspiration. The capital allows us to accelerate our momentum towards this full stack of models, compute, and deployments.
A huge thank you to our customers, partners, investors, and the Sarvam team for your trust and belief in what we are building. We’re just getting started.
Read more: https://t.co/VmLtpnj8gx
Speaking tomorrow at Stanford about the opportunity to build deep tech in India. If you want to train models, build products, create population scale impact, or are just curious what we are up to then RSVP and show up - https://t.co/TLlNBp8ojJ
Building an AI app?
You just need one API key.
Speech-to-Text.
Text-to-Speech.
LLM APIs.
Document Digitization.
Everything with a single API key.
Start building at https://t.co/NI6N4e6eMi
We’re hiring a Product Manager for Speech at Sarvam.
Looking for someone with ML/AI experience to work with research and engineering on ASR & TTS- shaping roadmaps and turning research into real products.
DMs open.
📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages.
Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - https://t.co/DcCG3zlN8p
Drop 14a/14: Over the past few days, we’ve been putting our models, products, and research out there. The positive feedback has helped more people agree with our long held belief that #IndiaCan be a builder in this space.
Today, we are rolling out Indus - a chat interface to experience Sarvam 105B. Here is what all you can do:
Drop 9/14: Today we are introducing Sarvam Studio, our product to help creators go multilingual. One piece of content, every corner of India.
With AI video dubbing, Studio generates high-fidelity dubs in 11 Indian languages. In an expert study, participants preferred Sarvam Studio for overall quality and production readiness.
With agentic document translation, Studio excels in contextually translating long-form content across genres. Our evaluations demonstrate that readers strongly preferred the output from Studio across different genres.
Drop 8/14: Introducing Saaras V3, the next iteration of our speech recognition model. We extend our lead in this space with an even more accurate model, particularly for mixed-language and noisy speech.
We have also expanded support for all the 22 scheduled languages of India.
And we now support real-time streaming! In this mode, the model delivers low latency while preserving transcription quality.
https://t.co/SQSgCPsUr5
We're finally here 🚀
9 months of iteration to push the boundaries of Indic TTS models.
The shift from v2 to V3 was intentional and hard-won.
With love from all of us at Sarvam TTS team ❤️
Head to the dashboard and go crazy [it’s free for Feb] :
https://t.co/239u55HmTL
@abhilashi@pratykumar Hey, we have a variety of really cool voices you can try. Some voices work better for Telugu, while other work better for other languages/scenarios.
I've attached an example here :)
We’ve spent years collecting & annotating speech data.
What became equally important was learning how to evaluate speech models in a way that reflects real listeners, real accents, & real usage.
This video explains how we ran this blind evaluation & what @JoshTalksLive is building in speech evaluations.