We ship AI that runs in production.
Not an AI strategy, not a proof-of-concept that dies in a lab — agentic and applied AI built into your real workflows, with the data foundations and governance to make it trustworthy and live.
The deliverable is a system that works and earns, instrumented to a real outcome.
The problem, and how we solve it.
By 2026 almost every company has an AI ambition and a pile of pilots. Very few have AI actually running in production, owned by the business, earning money. The gap is rarely the model — it's the workflow design, the data underneath, the guardrails, and the operating discipline to run it. That gap is exactly what this service closes.
We design and build agentic systems that execute multi-step work inside your real processes — with the orchestration, the human-in-the-loop points, and the controls designed in from the start. Underneath, we build the clean, governed data layer that makes AI and analytics trustworthy rather than a liability. And we wrap it in governance that is audit-ready and aware of the EU AI Act and India's evolving framework.
This is operator work, not advisory. Senior engineers and designers build the thing; AI accelerates our own research and first drafts; and we stay until it's reliable in your hands. When a capability we build deserves to be its own company, it has a clean path into Cofoundry, our venture studio.
The capabilities inside.
Engage one or several — most clients start with the sharpest one and expand.
AI systems in production
Agentic and applied AI built into real workflows and shipped live — with orchestration, guardrails, and human-in-the-loop points designed in.
Data platform & pipelines
The clean, governed data layer underneath: ingestion, modelling, and pipelines that make AI and analytics trustworthy.
Workflow automation
Removing repetitive, multi-step work end to end, so people spend their time on judgment, not data entry.
Analytics & ML
Models and dashboards instrumented to real decisions and outcomes — not vanity metrics on a wall.
AI operating model
How humans and agents divide the work, with the roles, controls, and adoption to make it actually stick.
Governance & model risk
Safety, compliance, and model-risk management — audit-ready and aware of the EU AI Act and India's framework.
Five ways to bring us in.
Scoped to the outcome, not the hours. Most engagements start with a short readiness conversation, then take one of these shapes.
Build sprint
A fixed-scope build that ships a working system in weeks — not a phased programme that never lands.
Embedded operator
We sit inside your team and run the function until it's self-sustaining, then hand it over.
Readiness program
We get you ready for what's next — a raise, a sale, an AI rollout — and close the gaps first.
Fractional capability
A senior CFO, CMO, CSO, CHRO, or CTO for as long as you need one — full weight, part time.
Principal partnership
Where we believe, we put skin in — capital alongside you, or work for a share of the upside.
Fixed-scope ways to start.
Productised entry points — clear scope, clear outcome.
AI Readiness Sprint
30 days, fixed scope: where AI earns its place in your business, with a costed, prioritised build plan.
Agent in Production
A single high-value agentic workflow — designed, built, shipped live, and instrumented to an outcome.
Data Foundation
The governed data layer that makes everything above it possible — clean, modelled, and pipelined.
Two angles, in the sectors we know.
Agentic AI lands hardest where workflows are complex and the cost of error is real.
Building an AI product as a founder?
If your AI isn't a feature but the whole company, we can build it with you — and back it. See how we work with founders at the readiness stage.
The things people ask first.
Do you build the AI yourselves or just advise?
We build it. Senior engineers ship working, governed systems to production — we're operators, not a strategy unit handing you a vendor shortlist.
What exactly is 'agentic' AI here?
AI that executes multi-step tasks inside your real workflows, with designed guardrails and human checkpoints — not a chatbot bolted on the side.
Our data is a mess. Is that a blocker?
No — it's the norm, and usually the first thing we fix. The governed data layer is part of the work, not a prerequisite you must deliver first.
How do you handle AI risk and the EU AI Act?
Governance is built in: model-risk management, audit trails, and compliance designed for the EU AI Act and India's evolving rules — not bolted on after.
How fast can something be live?
An AI Readiness Sprint takes about 30 days; a first agent in production typically follows in weeks, not quarters — we build to ship, then expand.
Ready to put AI into production?
Tell us the workflow that's costing you time or money. We'll tell you, plainly, whether we can ship it and how fast.
Talk to us →