DMC01 helps data businesses turn proprietary datasets into a working revenue line — pricing the data, designing the offer, licensing it properly, and getting it in front of the right buyers. The output is an operating model your team runs with after the engagement, not a strategy deck on a shelf.

Six layers any data business has to get right to scale: Licensing, Pricing, Roadmap, Enablement, Packaging, and Distribution. Some clients need work on one; others need all six in sequence. Every quote is built from this list — see them in detail on the home page.

15+ years in financial data, scaling data businesses to $7M+ ARR — across both ends of the size spectrum: senior commercial roles inside an S&P 500 financial-data company, and operating roles in smaller start-ups where the entire commercial layer was being built from scratch.

Selling to the world's largest buy-side and sell-side institutions, then doing the operating work behind the scenes — designing products, running pricing committees, rebuilding licensing frameworks. The six modules are what I learned from doing the work, on both sides of that scale.

Two things. First: sector-specific pattern matching from having done this exact work — not a generalist framework retrofitted to "data businesses". Second: I work forward-deployed. I sit with your team and build the pricing model, the pricing engine, the packaging, the entitlement blueprint, the enablement deck and the training. Where the build needs your engineers or your lawyers, I guide them through it. The engagement ends when it runs, not when the deck is approved.

Data vendors, fintechs, and institutions with proprietary datasets they want to commercialise — or fix where current ones are leaking value. Most are scaling, somewhere between £5M and £50M revenue, and have hit a layer (pricing, licensing, packaging) where the answer needs senior input the team doesn't have in-house.

Yes — and increasingly so. My experience is on the downstream usage of data by financial professionals, but datasets themselves are largely agnostic. What finance consumes is rarely finance-exclusive: weather, transactions, satellite imagery, foot traffic, supply-chain telemetry, sentiment — these get used across twenty industries simultaneously.

With the rise of alternative data, the line between "finance data" and "everything else" has effectively dissolved. Everything is signal, and anyone with a proprietary dataset can monetise it. The six modules apply directly — open a brief and we'll figure out the shape on the first call.

I work alongside teams, not instead of them. The engagement adds senior-level pattern matching from 15+ years of doing this — rare to find in-house unless you've already built and scaled a data business yourself. If your team has all the answers and just needs more hands, I'm not the right fit.

I'm engaged on the outcome, not a number of days. Engagements run as a weekly retainer, with two days a week held open for our time together: reviews, decisions, working sessions. They set the rhythm of the engagement, not the limits of the work, which I size and direct around what the project actually needs.

Neither. A fractional hire fills a seat for part of the week; an interim fills it full-time until you hire. I'm forward-deployed on a defined piece of the business: I design how it should run, build it with your team, and hand over something they operate without me.

Focus (single module): 6–10 weeks. Build (multi-module, the most common shape): 3–5 months. Transform (full-stack programme): 6+ months. Full breakdown on Pricing.

Often, yes. Many clients move from Focus → Build, or come back six months later for a follow-up workstream. Extensions roll on the same weekly retainer.

From three inputs: which modules need work, your maturity (where you're already strong), and the effort the work realistically needs. Pricing shows indicative ranges per tier. The precise quote comes after a discovery conversation and an assessment of your starting point, once the scope of the work is clear.

Multi-month engagements bill monthly, in equal installments, in arrears. No upfront lump sum. Focus projects (single-module) typically split 50% on kick-off, 50% on delivery.

All engagements start fee-based, billed monthly. Deferred payment and revenue share aren't part of the model.

Equity is a different conversation: open to it, but never on day one. If during a project a much larger opportunity surfaces and I read it as genuinely strong, I'd rather extend on equity than on more cash. That comes from my own read on the upside as the work unfolds — not from a structure proposed up front.

Through the form on the home page. A few lines on your industry, the data, the team, and what you're trying to unlock. I read everything that comes through — no automation in between.

Within one working day, often the same day. If you've sent a brief and not heard back in 48 hours, something's wrong — email hello@dmc01.com directly.

Open a brief anyway. Half the value of the first conversation is working out what you actually need: a focused 6-week engagement, a multi-month Build, or nothing just yet. If we agree the fit isn't right, I'll point you at someone who is.