Product AI implementation
An ex-MBB founder running a software platform knew agentic AI belonged in the product but had no route into implementing it. We scoped the implementation and delivered it.
Real engagements. Named where we can.
Most clients are under NDA, so most of what follows is anonymised — we won't invent testimonials to fill the gap. Where a client has given permission, we name them.
Book a working session →Transrail Lighting Limited.
An enterprise AI transformation across power transmission, substations, solar EPC, railways, civil infrastructure, and manufacturing — 64 countries, six continents.
Engineering, energy infrastructure & EPC
Read the full case study →The constraint wasn't will. It was throughput.
Workforce enablement, workflow redesign, and agentic readiness — one operational intelligence layer under 64 countries of local execution.
Management consultants, PE, VC, and financial services.
Plus ex-MBB and independent consultants who trained at the big firms and now run their own practice — commissioning us directly on the work that has to be right and has to be fast.
M&A proposal & post-merger design
A consultant working the investment side of a proposal for their own client needed intelligence gathering, data analytics, and M&A outcome work — plus a view on how a post-merger system should be set up, where the gaps were, and what would actually work.
Target acquisition
A client assessing a target acquisition needed intelligence on the data repository they already held, and a clear read on the opportunity in that market. We assembled both and compressed the turnaround.
Named proof comes after permission, not before.
Transrail is the first engagement we can put a name and a logo to. The rest above are real, but anonymised, because that's what the NDA requires — we'd rather show engagements without logos than a wall of invented quotes. As more clients approve their stories, we'll add the case question, what changed, and why it held up. No anonymous superlatives. No numbers we didn't measure.