what we're building.

Ask a simple question about a Nigerian-listed company — the kind a New York analyst answers in seconds on a Bloomberg terminal — and in African markets it can cost you a week. The data is technically public and out of reach: scattered across PDFs and registries, unclean, impossible to trust without checking it by hand.

The institutions know more — they have the data, the analysts, the models, the time — and everyone else trades on a delayed quote and a gut feeling. In the US that gap is wide. In African markets it's a canyon — the numbers that move a stock sit in newspaper print, scanned filings, and registries no one has structured.

And here's the part most people miss: the markets where intelligence is scarcest are precisely the ones generic AI understands least. Point a general-purpose model at the NGX and it answers fluently, confidently, and wrong.

Friday exists to close it. The goal is simple to say and hard to do: build financial intelligence that works as well for the NGX as it does for the NYSE, and put it in the hands of anyone who needs it — not only the desks that can afford to build it themselves.

The bet

The market has been writing down everything it does for over a decade. Every price, every earnings line, every shift in volume — recorded. The signal is in there. The problem was never a shortage of data. It's that the connections between the data points are buried, and no person has the time or the reach to find them across thousands of instruments, two continents, and ten years of history.

I think we can. I think if you take the last decade of market data and draw the right connections between the right points, you can say something real about how the market is likely to move. Not certainty — nobody gets certainty. An edge. The kind only the largest institutions can afford to build today.

That's the company in one line: the data already exists, and the value is in the connections nobody has drawn yet.

It's a big claim. I've spent my career making claims like it and then shipping the thing underneath — so I'm comfortable making this one.

How it works

Three layers, and the order matters.

The data. We bring US and African equities into one place, cleaned and aligned so they can actually be compared. This is the part nobody wants to do, and it's most of the work. Reconciling sources that disagree, filling gaps, checking figures by hand until the data is accurate enough to stake a decision on — it's slow, unglamorous, and there's no shortcut through it. Everything above this layer is worthless if the floor isn't solid, so we started with the floor.

The signals. On clean data we build proprietary signals — the connections I keep pointing at. The patterns across price, volume, fundamentals, and time that only show up when you look at ten years at once instead of one chart at a time. We don't hand you a black box and ask for faith. We test every signal against history before it goes near a decision, so we know whether it holds.

The intelligence. Then we make it conversational. You shouldn't need to be a quant to ask a quant's question. You ask Friday in plain language — about a company, a sector, a position you hold — and you get an answer grounded in the data, with the working shown. The AI is the interface. The data and the signals are the substance. Confuse the two and you've built a chatbot. Keep them straight and you've built an analyst.

What Friday does today

We're in public alpha, and it's real — not a landing page with a waitlist. Right now you can:

• Ask Friday about US and Nigerian equities in plain English and get answers backed by data, not vibes.
• Pull a report on your portfolio — what you hold, how it's moving, what deserves your attention this week.
• Test an idea against history in the Strategies Hub, which runs real backtests instead of gesturing at “past performance.”

It's early, and rough in places. It's also further than most things that promise African market intelligence ever get — because most of them never solve the data floor, and we started there.

What's coming

The next chapter is reach.

Friday shouldn't only live on our site. The intelligence is becoming a layer other products can carry — something a brokerage, an investment platform, or a fintech can drop in and instantly hand their users analysis they'd otherwise need a whole team to produce. Wider coverage across African markets. Deeper signals. More of the work an analyst does, finished before you've finished asking.

The direction doesn't change: less distance between a good question and a good answer, for more people, across more markets.

Where this goes

Three places, in order of how clearly I can see them.

Fund managers and analysts. The sharp end — people who make decisions for a living, under pressure, with real money on the line. Friday gives a small team the analytical reach of a much larger one: screen faster, test theses faster, cover names that were never worth the manual effort. For them the edge isn't a slogan. It's the job.

Embedded finance. Everyone who isn't us. The apps where people already hold their money and place their trades shouldn't each rebuild market intelligence from scratch — they should plug into ours. When Friday sits inside the products people already use, the asymmetry I opened with closes at scale instead of one user at a time.

The applications nobody has seen yet. The part I'm surest of and least able to predict. Make something genuinely hard suddenly cheap, and people build things with it the original builders never imagined. Clean, queryable, predictive intelligence across US and African markets will be that kind of tool. I don't know everything it unlocks. I know it's a lot — and I'd rather lay the foundation and find out than pretend I've already mapped it.

What this unlocks

Start with the obvious. The gap closes. An analyst in Lagos works with the same reach as one in Manhattan, and a first-time investor gets the kind of answer that used to need a research desk. Intelligence stops depending on where you sit or what you can spend on it.

Then it starts to turn. Someone who never trusted the market enough to touch it finally understands what they're looking at, and for the first time they put money in instead of sitting it out. That money reaches a real company — one that hires, builds, grows — and some of that growth finds its way back to them. They tell someone. Word moves the way it does here, person to person, until the returns that used to drain out of the continent are staying in it and compounding, and even the global money that wouldn't look twice begins to. Every person who wins makes it a little easier, and a little less frightening, for the next one to start. Nobody has to be talked into it. They watch it work, and they come.

And every turn of it is real money in real hands. Strip away the jargon and wealth is a simple thing: good decisions with money, made over and over, left alone to compound. The people who manage it are the ones who can see clearly — and for generations, that hasn't been most of us here, not for any lack of ability, but because no one ever handed us the tools to see. Help one person make better calls for twenty years and you change what their children start with. Do it across a continent, and the slow, ordinary engine that built wealth everywhere else finally starts running here too.

The bet is that the work is worth it. That the data is already here. That the connections are findable. And that financial intelligence shouldn't be a privilege of geography or size.

If that's a future you want to exist, you're early — which is the best time to be.

Come build it with us.