Selected work - What we’ve built and why.

A regional services operator running on tools designed for a different decade. The work itself was sound; the friction around it had been compounding for years.

We modernized the surface without rewriting the process — turning a location-locked desktop workflow into a web-native system any device on the network could run.

A DTC operator with years of customer history locked inside a fulfillment platform that shipped boxes but exposed nothing else. The asset existed; it wasn’t reachable.

We built the parallel pipeline that should always have been there. Email marketing, cohort financial reporting, and a remarketing engine arrived in quick succession on top of it.

A construction firm whose financial system had been the system of record for decades. The data was complete; the speed at which the business could reach it had collapsed.

We built a parallel data layer and new workflow tools alongside the legacy system. The original kept running, untouched. The business that runs on it got noticeably faster.

A logistics provider moving enormous volume but able to answer “where is it?” only by phone calls down a chain of intermediaries. Every handoff was a place visibility went dark.

We built tracking that follows a shipment across every party in the chain, so a status question resolves in a screen instead of a sequence of phone calls.

A founder with a sharp idea: bring a personal service to the customer’s door instead of making them travel to it. The product was buildable. The open question was whether the unit economics could ever close.

We built the real thing — booking, dispatch, provider logistics — and used it to answer the only question that mattered. The honest answer was no. Learning that cheaply was the win.

Most struggling businesses are handed a growth plan when what they need first is a diagnosis. Marketing spend on a leaking bucket is just faster loss.

We built an engine that reads fifty-plus data points across finance, operations, and demand, then produces a sequenced plan — what to stabilize now, what to grow once the foundation holds.

Certain legal documents are formulaic in structure but deeply personal in detail. The expertise is real; the cost of accessing it puts the document out of reach for the people who most need one.

We built an AI-native product that interviews the user, reasons about their specifics, and assembles a precise, defensible document — one of our own ventures, and a template for what applied AI makes newly affordable.