Our Thesis
In an agentic world, time is still finite and context is still messy.
At Aryabhatta Labs, we focus on a simple truth:
People and teams do not need more noise. They need better context and clearer next steps.
We build consumer AI products in three areas — automation, health, and employability — and keep a lab for the ideas that might come next.
If a workflow feels
repetitive, opaque, or hard to trust, we ask:
Can AI make it clearer without taking control away?
What We Build
We build consumer AI products — apps people use in their own lives, not dashboards for teams. Where a domain expert or an ecosystem knows more than we do, we build with them and say so. Some bets become products; some stay in the lab; some get retired when they stop earning their place.
What ties the work together is a product belief: AI should reduce friction, not add another dashboard, role, or layer of operational noise.
We focus on three areas we care about, and keep a lab for what comes next:
When attention is short, coordination is messy, and agents are becoming operational actors, context becomes a real product surface.
Why We Exist
Work should feel lighter, not more operationally tangled.
Learning should be efficient, not endless.
Creativity should feel more open, not blocked by friction.
Technology should work for people and teams — not the other way around.
The Studio
Some ideas become products. Some stay lab experiments. Some are built with experts who know a domain better than we do.
The filter is simple: does this materially reduce friction, increase clarity, or help someone move with more confidence?
Meet the Founder
Founder & Chief Builder
With 20+ years across HealthTech, EdTech, SaaS, and AI — and after building at companies like Seekify, Seekho, Freshworks, HealthKart, and TATA 1mg — Ajeet started Aryabhatta Labs to explore how AI can reduce friction, improve context, and elevate capability for both people and teams.
My goal is simple:
"Build tools and systems that make work clearer, lighter, and more human."