Founder-led AI lab · Owned · Partner · Open

An AI lab that ships — for people, with partners, and in the open.

Aryabhatta Labs builds owned products like Flair and Vault Breaker, partners with operators on builds like NibbleIQ and Attuned, and authors open protocols like Brand Context Protocol — on-brand guardrailing and compliance for AI agents. Through Vault Breaker, we're also exploring edgeLM — what becomes possible when AI runs fully on your phone.

What we do

Three kinds of work, one point of view.

We're a small, founder-led lab betting that the next decade of AI is won by teams who can ship real products, partner well with domain experts, and contribute to the open infrastructure agents will run on. Our working question stays the same: how can AI help people and teams move with more clarity, leverage, and control?

Own.

Products we build and run end-to-end — from research bet to live users. Flair, Vault Breaker, Brand Context Protocol.

Partner.

Co-builds with experts and operators whose domain knowledge plus our AI engineering produces something neither of us would ship alone. NibbleIQ with NutriMantra.

Open.

Protocols and open-source building blocks we author. Brand Context Protocol — on-brand guardrailing and compliance for AI agents. RAG Reference Template.

What we own

Products we build and run.

End-to-end ownership — from research bet to live users.

Flair

Consumer SaaS

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.

  • AI content ideas & viral hooks
  • Ghostwriting for polished posts
  • Profile optimization
  • Smart outreach with personality insights
  • Investor, sales, and career prospecting

"Build your brand. Convert connections."

Visit Flair

Brand Context Protocol

Protocol · Open

On-brand guardrailing and compliance for AI agents.

An open protocol that lets brands publish authoritative brand guidance, policy rules, and compliance context that AI systems can read and respect. As agents act on behalf of teams and brands, context needs to travel with the work — portably, machine-readably, and with the brand staying in control.

  • Brand voice, policy, and compliance context for AI agents
  • Portable rules and guardrails for AI-native workflows
  • Designed for multi-agent and agent-assisted systems
  • Open protocol — readable by any agent or LLM stack

"Context should travel with the brand."

Explore BCP

Partner Builds

Built with operators who know their domain.

We partner with experts and operators when their domain knowledge plus our AI engineering can produce something neither of us would ship alone. Credit and ownership stay with the partner.

"Not a calorie counter · A lifestyle mirror."

Conversational food and lifestyle logging in English and Hinglish. A nutritionist-verified Indian food database. Tracks how food, sleep, and energy connect — and surfaces patterns, not judgment.

  • Natural-language meal logging (English/Hinglish)
  • Nutritionist-verified Indian food database
  • Macro, micronutrient, and meal-timing tracking
  • Pattern recognition across food, sleep, and energy
A NutriMantra product. Led by Shruti Marjara Kushwaha — practicing nutritionist, 20+ years of clinical experience. Engineering and AI partnership with Aryabhatta Labs.

"You've got bigger things to think about… wardrobe shouldn't be one of them."

A private menswear styling and wardrobe service. Aryabhatta Labs builds the AI and operational platform behind it — from wardrobe classification at scale, to AI look composition, to generated lookbook imagery, all wired into a stylist workspace and a delivered client lookbook.

  • AI Wardrobe classification — categorize, tag, and action 100s of items per client
  • AI Look composition — outfit combinations from existing wardrobe plus gap-filling additions
  • AI lookbook image generation — flatlay imagery for every look, with per-image cost tracking
  • Stylist console + client lookbook — leads, cases, and a delivered digital lookbook (see a sample)
  • Delhi NCR · Wardrobe Reset · At-Home Bespoke
AI engineering and Product & Tech partnership by Aryabhatta Labs. Brand, styling, and operations led by the Attuned team.

Research threads

Open bets we're tracking through real builds.

edgeLM — on-device AI (via Vault Breaker)

Privacy by default. Zero API cost. Real-time UX. Open-source small language models (Qwen 2.5, SmolLM2, Phi 3.5 Mini) running natively on phones — no server in the loop. Vault Breaker is where we're learning what becomes possible.

Threads we're tracking: On-device LLMs Agent context (BCP) Domain-expert co-builds

Open Source

Building blocks we share with the builder community

We open-source the building blocks we'd want other early teams to have — practical pieces from our stack and workflow that help others learn faster and ship with less reinvention.

RAG Reference Template (OpenAI + Elasticsearch)

A lightweight implementation for Retrieval-Augmented Generation — ideal for learning, prototyping, and real-world experimentation.

View on GitHub

How we work

Thesis-led exploration. Small bets. Real users.

Problem-first
Start with a real human task — not a feature wishlist.
Small bets
Ship small. Test fast. Learn quickly. If it earns the right to grow, it grows.
Human in the loop
AI helps; people and teams stay accountable. Clarity and control should stay with the user.

Team & Culture

A founder-led AI lab with a bias to ship

Small by design. The goal is tight loops between problem, product, and user feedback — not organizational theater.

Ajeet Singh Kushwaha
Ajeet Singh Kushwaha

Founder — 20+ years across HealthTech, EdTech, SaaS, and AI. Previously at Freshworks, HealthKart, TATA 1mg, and SIEMENS.

LinkedIn

Get in touch

Try a product, propose a partner build, or explore a protocol

If you're building with AI, working on a domain problem that could become a partner build, or thinking about brand and policy governance in an agentic world, we'd love to talk.