The team behind the systems.
An engineering company that has shipped production software for a decade, and now builds and runs AI in production for US clients.
Most AI work stalls between a convincing demo and something a business can depend on. We do the engineering that closes that gap, then stay to run what we build.
Who you'll be working with
Two names on every engagement: one accountable for the architecture, one for the delivery.

25+ years in IT, from full-stack engineering to enterprise architecture to applied AI. He sets technical direction on every system and stays hands-on where the hard calls are.
- Built internal web services and reporting stacks at Microsoft (Bellevue).
- Led ICD-10 remediation and EDI work for Humana in US healthcare.
- Delivered a sub-2s search platform for Achilles (Abingdon, UK).
- MSc Computer Science, Pune University · PMP · Certified ScrumMaster.
20+ years in software delivery, from developer to Managing Director. She owns team, timelines, client commitments and P&L, and is your point of contact for how an engagement actually runs.
- Led a 15+ developer team across eight years at Atos Syntel.
- Built healthcare software at Humana in the US, the same regulated world Sachin worked in.
- Managing Director since 2019, accountable for delivery and P&L on every engagement.
- MSc Computer Science, Savitribai Phule Pune University.
Not a two-person shop
A real engineering organization behind the founders, with the track record to prove it predates the AI hype.
The questions a CTO actually asks
Straight answers on data, control, and how an engagement actually runs.
No lock-in when we leave
Plain, documented code in your repositories. No proprietary runtime to license, and model or provider choices stay swappable rather than hard-wired in.
Client data stays in your infrastructure
Systems run against your data inside your environment. We never exfiltrate customer data to build or operate what we deliver.
Human approval on every AI-generated message
AI drafts anything customer-facing for a person to approve. It proposes, a human decides. Guardrails halt automation on reply, conversion, or opt-out. See the gates →
Scoped pilots before any long engagement
We start with a scoped pilot on your data. You see a working system running against your real cases before committing to more. How an engagement runs →
Want to talk to the people who'd build it?
Tell us what you're trying to build or automate.
