What we've built for our clients.

A trading firm came to us with conviction in an edge, a firm deadline — and not a single row of data to prove it.

We built the whole thing from nothing. First we went and got the data — scraping it from where it lived, then cleaning and structuring it until it was something we could actually model on — and designed the database to store and serve it. Then came the research: we tested approach after approach until we found one that held up out of sample, not just in a good-looking backtest. We trained the model on that, wrapped it in a real-time pipeline that scores every incoming signal, and wired it straight to execution so a decision becomes an order without anyone lifting a finger. On top of that we built the monitoring and the controls — so the client can see exactly what the system is doing and step in the moment they want to. It's been running on its own ever since, and we've stayed close to keep sharpening it as the market shifts.

A strategy that now trades autonomously, around the clock — every decision monitored, every control in the client's hands. And because we own every layer of the stack, when the market shifts the system shifts with it the same day.

The client's strategy was already live and trading real money — but once it was running, they were flying blind. There was no clean way to see what it was doing minute to minute, and if something started to look wrong, no fast way to step in and pull it back. For a system moving money on its own, that's a nerve-wracking place to sit.

We built a full-stack command centre that sits on top of the running strategy. At a glance you can see live performance, open positions and the health of the system itself — is the data flowing, is everything responding, is anything drifting. Right next to all that we put the controls: one-click buttons to start, pause or stop the trading the instant it's needed, with no digging through code or logging into a server. We designed it so a person can stay calmly in the loop without ever getting in the machine's way.

What used to be a black box is now something the client can actually watch and trust. They can see exactly what's happening at any moment and act on it in seconds — and we delivered all of it without touching a single line of the strategy itself. The trading never stopped; we just built the cockpit around it.

The client wanted to turn their strategies into a product — a platform where their own clients could subscribe and trade them automatically — while keeping the strategy IP completely private, even from us.

We built the entire customer-facing platform: subscriptions, onboarding, the full experience. The strategies stayed on the client's own servers, invisible to us by design. A subscriber connects their broker with an API key and hits start; the keys pass straight through to the client's infrastructure, where the strategy quietly runs. We built the storefront — they kept the secret sauce.

A polished, production product wrapped around a strategy we never laid eyes on. A clean proof that we can build on top of existing infrastructure and treat a hard IP boundary as a first-class requirement, not an afterthought.

A trader was running his whole edge manually — reading newsletters, watching X, scanning Telegram, placing trades at all hours, including overnight. It worked, but it owned his day.

An LLM agent that reads the same sources he relied on, interprets them the way he would, and executes the trades end-to-end — no hand on the keyboard.

He traded the keyboard for a dashboard. The system runs itself while he simply keeps an eye on it, and the hours he used to lose to manual execution are his again.

An experienced researcher had no shortage of ideas — but his process was slow and manual, and he wanted real computing power and an engineering partner behind it.

We built him a complete research environment: a web app to test ideas and review their full history at a glance, backed by an automated database and a real-time data feed. We baked in proper sub-period analysis and the statistical guardrails that separate a genuine edge from a lucky backtest — all within the strategy space he wanted to explore.

Research that used to take months now takes days, and far fewer ideas survive that shouldn't. He spends his time on the questions that matter, not on the plumbing underneath them.