Building for an agentic world.
Aryabhatta Labs is a founder-led AI lab exploring a simple idea: software should give people and teams more leverage, better context, and more time for meaningful work. We build products for professionals and creators, and we explore emerging infrastructure such as Brand Context Protocol for brand and policy/compliance in an agentic world.
Our Thesis
Some of our work is consumer or prosumer. Some of it is company-facing. The through-line is the same: in an AI-native world, software should turn rough inputs, messy context, and repetitive work into clearer action.
Why we exist
Our working question:
How can AI help people and teams move with more clarity, leverage, and control?
Across experiments, we look for work that does at least one of these well:
What we're building
Turn scattered LinkedIn effort into a consistent growth system.
Flair helps professionals show up consistently without treating LinkedIn like a second full-time job. It combines ideation, ghostwriting, profile optimization, and outreach support into one workflow.
"Build your brand. Convert connections."
Turn long-form video into usable understanding.
aiBimb compresses long videos into chapters, summaries, key insights, and interactive Q&A so people can learn faster. It also opens up new ways for creators to make their content searchable, interactive, and always available.
"Watch less. Understand more."
Turn a blank page into collaborative creative momentum.
FlexYourArc is a playful experiment in human + AI storytelling. AI opens the scene, you respond, and the story evolves turn by turn. It is built around momentum, surprise, and low-friction creativity.
"AI sets the stage. You bend the story."
Brand and policy/compliance context for an agentic internet.
Brand Context Protocol is an emerging idea for how companies can make authoritative brand guidance, rules, and policy context available to AI systems. As agents act on behalf of teams and organizations, context needs to travel with the work.
"Context should travel with the brand."
What else we're exploring
A competitive prompt injection game that runs entirely on-device using a local LLM. Players attack and defend "vaults" — secrets protected by system prompts. Crack the secret or write an unbreakable defense. Learn prompt security through play.
How we work
Open Source
We open-source practical pieces from our stack and workflow when they can help other early teams learn faster and ship with less reinvention.
A lightweight implementation for Retrieval-Augmented Generation — ideal for learning, prototyping, and real-world experimentation.
Team & Culture
Small by design. The goal is tight loops between problem, product, and user feedback — not organizational theater.
Founder — 20+ years across HealthTech, EdTech, SaaS, and AI. Previously at Freshworks, HealthKart, TATA 1mg, and SIEMENS.
Get in touch
If you're building with AI, testing a workflow problem, or thinking about brand and policy governance in an agentic world, we'd love to talk.
