Bring us a hard AI problem. We partner with your team and solve it to the T, first principles all the way to production. Then we do it again.
Fifteen of them in three years, from a leading global consulting firm to a consumer app serving a million people. Under each is a context graph: a living map of an organization's data, decisions and people. Every build makes the next one sharper.
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Three problems we keep coming back to.
Agents and people on one team
We design the work so each does what it does best. AI alongside humans, not in place of them.
Tokenomics
We tune the token and compute cost of every system, so it survives production, not just the demo.
Adoption over features
In AI, features are cheap and adoption is everything. We build the thing people actually reach for.
The future of AI is agentic, and it runs on a context graph.
Models commoditize. The durable edge is an organization's own structured context, a living graph of its data, decisions, and people, and the agents that act on it. We give the core away, open source, and forward-deploy the rest.
You can't out-model your competitor for long. You can out-context them forever.
Read the researchThree products came out of the lab.
Two are live. One we've retired. Each one taught us something we now build into everything.
The research is the work.
We've shipped 15+ context graphs across research, healthcare, consumer and sport. A few of them:
A company-intelligence graph
due-diligence reports, drafted in ~30 minutes
01Redseer
Resolved hundreds of private Indian companies into one graph (metrics, business units, and holding structure that shifts over time), then put an agent on top that drafts a full due-diligence report. Built, hardened, and handed to their team.
A per-patient digital twin
predicting glucose, guiding clinicians
02Sugarfit
Fused CGM, lab reports, consults, coach meetings and logged meals into one profile that meal logging, a Doctor's Co-Pilot and a glucose-prediction model all read from. Shipped to production, then transitioned.
One graph, a million users
a WhatsApp assistant at 1M+ queries a month
03Habuild
Beetu, a member-facing WhatsApp assistant on a per-member context graph, now handling over a million queries a month. Habuild also runs Sketch org-wide as our first design partner.
A pocket football coach
computer vision that watches and coaches
04Arco
A coach's whole curriculum made playable, around 120 drills across three skill levels. The phone watches a drill, tracks the ball with several models that vote, and grades the move against a difficulty sheet.
Bring us something hard.
We take on a few partners at a time. If you have a mandate, a moonshot, or a product that needs AI to actually land, let's talk.