Start with the problem. We’ll bring the system.
You don’t need to know whether you need “agents”, “ML” or “a platform”. Pick the sentence below that sounds like your week, and we’ll show you what we’d build — and what it changes.
Which one sounds like you?
“My team repeats the same 12-step process every day, across six tools.”
We build an AI operator that runs the playbook and hands you only the exceptions.
See how →“We have an AI prototype. It works in the demo and dies in production.”
We turn it into a system with tests, limits and an audit trail your auditor accepts.
See how →“Every customer gets the same offer, and half of them ignore it.”
We rank, score and forecast from data you already have — tied to a number you report.
See how →“New users bounce. Power users want more than we can ship without breaking newcomers.”
We make the product adapt to who’s using it, measured against outcomes, reversible.
See how →“The roadmap is behind and the codebase fights every feature.”
We ship the web, mobile or commerce product on foundations your team keeps building on.
See how →“Ops runs on spreadsheets, six tabs and one heroic person.”
We replace them with the internal tools that actually run the business — approvals, queues, audit.
See how →“Our dashboards disagree with each other, and our models keep breaking.”
We build the data layer where every number agrees and every model survives Monday.
See how →“Cloud bills climb, audits are scary, deploys are flaky.”
We fix the ground under your product: secure, observable, compliant, cheaper.
See how →Three layers. Six kinds of work.
Intelligence that acts, not just predicts
Autonomous agents that plan, act, and learn from outcomes — and ML that turns signals into explainable, observable actions.
Product, shipped at studio quality
Web, mobile, and commerce builds — plus the workflows, dashboards, and admin UIs that keep your team fast.
Foundation you never have to think about
Secure, observable, compliant infrastructure under everything we build — AWS / GCP foundations, SLOs & cost guardrails, and DPDP / GDPR readiness — so intelligence and product can move fast safely.
Most teams hire us for one layer and discover they needed two. That’s fine — it’s all one team.
Four steps. No theatre.
Discover
We frame the real problem and the smallest system that proves it.
Architect
Data shapes, model choices, contracts, and observability — drawn before we code.
Engineer
Two-week vertical slices. Real users on real production from week three.
Operate
Drift, evals, cost, latency. We stay on the wall, not just the launch.
Most engagements run 6–24 weeks and ₹35L–3Cr, scoped in phases. Stop, ship or extend at the end of every phase.
Questions people ask before the first call
Got any questions?
Ask — a founder reads every message.
Do you replace my team?
No. We build alongside them and hand over with runbooks, tests and a paired-coding handover. Most clients keep a smaller retainer for the next thing.
What does it cost?
Pilots start around ₹35L. Full builds run ₹1–3Cr. Every phase has a fixed scope and price before it starts, and you can stop at the end of any phase.
How fast?
First working slice in production by week three on most engagements. Full pilots in 6–10 weeks.
Where does it run?
In your cloud account, under your access controls. You own the code and the data from day one.
What if it doesn’t work?
Every engagement starts with a discovery phase that ends in a written definition of “good”, with the measurement wired in. If the pilot misses it, you have the evidence and the exit ramp.
Have an intelligent system to build?
Tell us about the messy bit — the legacy system, the model that won’t behave, the workflow no one wants to own. We’ll come back with a discovery plan inside two business days.
