The story behind Quotem

I've spent a decade solving one problem by hand. Quotem is me finally building the machine.

James Gayle, founder of Quotem

It started in a bedroom. Fiverr. Zero clients.

2020. No team, no network, no plan beyond make something people want and get better at it every week. I called it Shogun Social and I sold organic content the hard way, one gig at a time, creator-led, learning in public before that had a name.

Five years later I run two businesses out of Network Eagle Lab in Southampton, and the through-line has never changed: get what's in an expert's head out into the world, in a way people actually trust. That's the whole story. Everything else is just me getting closer to doing it at scale.

10M+Organic views generated for clients
£500k+Agency revenue crossed, team of twelve
10 yearsDoing this job by hand for blue-chip brands

I built an agency, and then I broke it on purpose.

The Straw Hat Group grew fast. We crossed half a million in revenue, scaled to a team of twelve, generated over ten million organic views for clients, and picked up national recognition along the way. On paper, it worked. Underneath, it didn't, not the way I wanted it to.

Agencies scale by adding people, and people don't scale linearly. I made expensive mistakes, learned exactly where the model bent under its own weight, and made a decision most people don't: I retired the agency model while it was still growing.

What I rebuilt is better. Straw Hat isn't an agency now, it's an embedded content partner. We sit inside B2B brands and public-sector organisations and build their content engine end-to-end, so they get the output without hiring a department. The methodology underneath it is the Signal System: five stages, Source → Stream → Amplify → Sense → Scale. And I built Hampshire Podcast Studios as the physical infrastructure behind it, a video-first production studio for the businesses and creators who want to show up with proper production behind them.

Two businesses. Real clients. A working system. But every day I was running that system, I was staring at the same bottleneck.

James Gayle presenting to an audience
A LIVE TALK ON THE FUTURE OF MARKETING AND CONTENT DISTRIBUTION

The pattern I couldn't unsee.

Across a decade of doing this, for HSBC, Samsung, EE, Barclays, American Express, universities, city councils, the same thing was true every single time. The experts had the knowledge. Getting it out of their heads was the choke point. Not ideas. Not strategy.

The specific, unglamorous act of turning what a smart person knows into content that sounds like them, cites its sources, and can go out under their name without a compliance officer having a heart attack. Writing is the wrong interface for that. Nobody thinks in blog posts. But they can talk, brilliantly, off the cuff, in the language their audience actually respects.

The problem was never a shortage of expertise. It was that the pipe between "what an expert said in ninety seconds" and "signed, on-brand, publishable content" was me and my team, doing it by hand, one client at a time.

I even validated it the boring way, a study of thousands of real user complaints about existing repurposing tools. Two things came back independently: people wish they could talk instead of write, and the number-one complaint about every AI tool on the market is that it doesn't sound like them. I wasn't guessing. The demand was documented.

The first thing I ever shipped in code told me I could build the rest.

Before Quotem, I built a LinkedIn Diagnostic tool, my first real software product. It was small, but it proved something to me: I could take a problem I understood better than almost anyone and turn it into a product, not just a service. That tool was the gateway. It's why Quotem exists.

So I built the machine.

Quotem turns a short expert recording into signed, source-traced, multi-format content. You talk. A six-agent AI pipeline does the work. A human signs it off before anything ships. The rule the whole product is built on is simple: no source, no sentence. Nothing goes out that can't be traced back to what was actually said.

That's the part the rest of the market is ignoring, and it's the part that matters most as the internet fills with AI slop. Everyone can generate content now. Almost no one can generate content you can trust, content that sounds like the person, cites where it came from, and carries proof of its own provenance. Quotem is built for exactly that world: C2PA provenance marking, EU AI Act aligned transparency from launch, human sign-off in the loop. Trust as a feature, not an afterthought.

My ideal customers are the organisations who feel this most sharply, governance-heavy businesses where "who said this and can you prove it" isn't a nice-to-have, it's the whole ballgame. And my agencies, the ones who live the by-hand problem every day, are a channel right beside them.

Why me, and why now.

I'm not a founder who found a market. I'm a founder who is the market. I've done this job by hand, at scale, for blue-chip clients, for ten years. I've felt every part of the pain Quotem removes, and I've already validated that thousands of other people feel it too.

The tools finally exist to build the machine. The trust problem I've been solving manually is about to become the defining problem of an entire industry. And I've spent a decade earning the right to be the person who solves it.

That's the round I'm raising for. If you want to back that problem, register your interest and I'll send the deck.