Our Thesis

AI should reduce busywork, sharpen understanding, and help people and teams act with more confidence.

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 products for individuals, systems for teams, and emerging protocols for an internet where agents increasingly act on behalf of people and brands.

If a workflow feels repetitive, opaque, or hard to trust, we ask:
Can AI make it clearer without taking control away?

What We Build

A small AI lab building across products, workflows, and emerging protocols.

What We Build

We explore both individual-facing and company-facing AI work. Some bets become products. Some become systems, protocols, or collaborations with teams navigating AI change.

What ties the work together is a product belief: AI should reduce friction, not add another dashboard, role, or layer of operational noise.

Where We Apply AI

We focus on high-value, high-friction human tasks:

Professional leverage (for example, Flair reducing content and outreach friction)
Learning compression (for example, aiBimb turning long video into usable understanding)
Creative collaboration (for example, FlexYourArc as a human + AI storytelling experiment)
Brand and policy context for agents (for example, Brand Context Protocol)

When attention is short, coordination is messy, and agents are becoming operational actors, context becomes a real product surface.

Why We Exist

Because time should be spent on doing, not decoding.

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

Aryabhatta Labs is a founder-led lab that ships quickly and stays comfortable with experiments.

Some ideas become products. Some become protocols. Some become collaborations with teams figuring out how to operate well with AI.

The filter is simple: does this materially reduce friction, increase clarity, or help someone move with more confidence?

Meet the Founder

Ajeet Singh Kushwaha

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."