Loading
Loading
You choose how to engage. Everything runs through the same AI Code Factory.
Most AI initiatives stall between the pilot and the product. We close that gap.
AI going nowhere? Stuck in pilots, not production.
You want it live in 90 days — with real impact, not experiments.
We start with what matters.
Your data. Your bottlenecks. Ranked use cases.
We ship — not prototype.
Two use cases in production. Not in a presentation.
The AI Code Factory runs it.
2.8× faster. No instability.
Technical debt doesn't announce itself. It compounds — until a deployment breaks production or a new feature takes three times longer than it should.
Legacy system slowing everything down.
You want it fixed in 6–8 weeks without touching what works.
Scope defined up front.
No scope creep. No open-ended engagement.
The rest of your system stays live.
We fix one thing properly. Not everything at once.
Clean handoff.
Full documentation. Your team owns it after.
Building an internal data team takes 6–12 months of recruiting, onboarding, and alignment. Most companies can't wait that long — and the talent market doesn't cooperate.
You need a full function, not a contractor.
You want weekly output with clear accountability.
Full function from day one.
Data engineering, ML, analytics. No ramp-up time.
Weekly output.
Clear SLAs. One named lead. Full accountability.
AI Code Factory standard.
The same delivery discipline. Applied as an ongoing function.
10 pages of practical insight on scaling engineering with India.
Download the Free GuideTell us what you're working on. We'll tell you which engagement makes sense — and whether we're the right fit.