That's not a typo.
Sarvam AI launched their flagship model supporting 10 Indian languages.
And no one cared to download and check it out. 🥲
But the real story isn't about downloads.
It's about building solutions without understanding the problem.
Here's why most Indian AI startups are failing:
1. We don't know WHO we're building for:
Are we building for:
• The IT professionals in Bangalore?
• The farmer in Bihar?
• The shopkeeper in Chennai?
Each needs completely different AI.
2. We don't know WHAT problem we're solving.
We say "AI for Indian languages" but:
• Is it translation? (Google does it better)
• Is it content creation? (We don't need it)
• Is it customer support? (Where's the integration?)
3. We chase technology, not solutions.
We built a 24B parameter model, based on Mistral.
That's cool to put in a news-story.
But we've no idea what does it actually solve.
--
If we want to win, we need an edge OpenAI or Google can't copy:
✅ Deep understanding of tier-2/3 India problems
✅ Models that work on basic infrastructure
✅ Solutions for the 90% who don't speak English
The next Indian AI unicorn won't come from cloning an open-source model and making it 5-10% better.
It'll come from solving one unsexy problem incredibly well.
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