AI Research & Consulting · India
You don’t need five ML engineers. You need one house that’s already built it.
Agents, data copilots, and the infrastructure that keeps them running. We come in at the point where a notebook has to survive production traffic.
TARS, answering an operator · real capture, actual size
Three ways we work.
What you can buy
01
Consulting
We build it with you
Agents that act, data copilots, and the cloud and retrieval plumbing underneath. You end the engagement with a working system in your own stack and a team that can run it without us.
For teams who’d rather ship than hire.
02
TARS
We sell what we built
Conversational analytics for multi-outlet F&B. Ask anything in English or Hinglish, on WhatsApp or web, and get the number, the why, and the next step. Running in production today.
03
Teaching
We hand it over
Workshops and hands-on programmes for teams who would rather learn to build this than keep buying it. Open-source, hackathons, and sessions run with the same code we ship.
Scope and pricing are per engagement. Start with a 15-minute call — no deck.
Every number here runs in production
We don’t advise from slides. We advise from shipping.
~10ms
to search 300 columns
Local embedding, hybrid keyword + vector. No network call in the hot path — warm workers only, and we say so.
SELECT-only
enforced by a real SQL parser
An LLM that writes SQL is easy. Letting it near production data is the actual product. 1GB fail-closed cost cap, tenant isolation denied by default.
Nightly
learning engine, unattended
Reads the day’s conversations, synthesises structured memory, and injects it back at query time. Runs at 3 AM without a human.
One JSON call
routes intent and language
Hinglish in, Hinglish out — romanised, never Devanagari. No translation layer, no locale dropdown. The question is the instruction.
Where those numbers come from
We built our own product first. It’s still running.
TARS · in production
Conversational analytics for multi-outlet F&B. An operator asks a question in plain English or Hinglish — on WhatsApp or on the web — and gets the number, the reason behind it, and what to do next. No dashboard to learn.
We built it for ourselves and it runs on real data every day. That’s the whole pitch: imagine what we build for you.
Read-only. We never touch your systems.
Your data stays yours.
Same brain on WhatsApp and web.
What it noticed, unprompted
For builders, not buyers
The AI dev ecosystem, in the open.
Open-source, hackathons, workshops.
Tell us what you’re trying to ship.
Fifteen minutes, no deck. If it isn’t a fit, we’ll tell you that in the call.