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Industries · iGaming & betting

Betting platforms engineered like trading desks

In this industry, latency is a P&L line and compliance is a licence condition. We build in-play odds engines, risk tooling and settlement pipelines that hold up on derby night — with responsible-gaming controls and audit trails designed in, not bolted on.

Systems we build for operators

The components a book runs on — priced in milliseconds, proven under peak load. A representative list, not a boundary — if the system you need isn't on it, we build that too.

In-play odds engines

Live odds management built like a trading floor: price updates propagated in milliseconds, market suspension rules that fire before the exposure does, and full replayability for every price change.

Trader risk dashboards

Real-time exposure per market, per event, per customer segment — with automated limits that act instantly and trader overrides that are logged, not improvised.

Bet settlement pipelines

Sub-second settlement under peak-event load. Settlement is where trust is won or lost — we engineer it for the Champions League final, not the Tuesday afternoon average.

Wallet & payments

Deposits, withdrawals, bonuses and ledger integrity in one place — double-entry underneath, so the balance a customer sees always reconciles with the money that moved.

Responsible-gaming controls

Deposit limits, reality checks, self-exclusion and affordability signals designed into the platform from milestone one — not bolted on when the regulator asks.

Regulatory reporting & audit

Every bet, price change and trader action written to an audit trail that answers the regulator's question before it's asked — per-jurisdiction reporting generated, not assembled.

Where operators lose money

The failure modes we see in almost every operator diagnosis — none of them are solved with more traders.

Latency is a P&L line

Every extra 100ms between event and price update is exposure you didn't choose. Slow settlement doesn't just annoy customers — it holds balances hostage and multiplies support load.

Peak load is the only load that matters

A platform that's fine on an average Tuesday and falls over during a derby fails on precisely the nights that fund the quarter. Capacity has to be engineered for the peak, then proven under it.

Compliance bolted on is compliance done twice

Retrofitting RG controls and audit trails onto a live book is slower and riskier than designing them in. Regulators don't accept architecture as an excuse — and they shouldn't.

Trader tools lag the traders

When exposure lives in a delayed report instead of a live dashboard, traders manage risk from memory and gut. The book deserves the same tooling a trading desk gets.

How we approach an operator build

The same four phases as everything we do — applied to a platform that takes bets while we rebuild it, and a regulator who reads the audit trail.

See the full process
  1. 1
    Diagnose the book and the stack

    We look at where latency, load and compliance actually bite: settlement paths, exposure visibility, the audit story. Free, and pointed — including "don't rebuild this part."

  2. 2
    Estimate against hard numbers

    Milestones, price, and the metrics the system answers to: settlement latency, uptime through peak events, time-to-suspend. The estimate holds — overruns are ours.

  3. 3
    Build under production-like load

    Every milestone is load-tested against peak-event traffic before you accept it. Weekly demos show the dashboards, the limits firing, the replay — running software only.

  4. 4
    Operate through the fixture list

    Monitoring tuned to match days, a 90-day warranty, and then either a retainer or a clean handover to your team — with the runbooks the 2am incident needs.

Case study · iGaming & betting · Dedicated team

A casino & sportsbook operator runs its in-play book on an engine we built

Real-time exposure per market, automated risk limits with trader overrides, and sub-second settlement under peak-event load — serving hundreds of thousands of end users.

Read the case study →
<300ms
bet-to-settlement latency
100k+
end users served

Common questions

Can you handle peak-event load?

That's the engineering brief, not a stretch goal. The in-play engine we built settles bets in under 300ms while serving hundreds of thousands of end users — and every milestone is load-tested against peak traffic before acceptance.

How do you deal with licensing and jurisdictional rules?

Your compliance team owns the interpretation; we build the enforcement. Per-jurisdiction rules — limits, RG obligations, reporting formats — are configuration with an audit trail, not code changes with a deploy.

Do you build responsible-gaming features properly, or as checkboxes?

Properly — deposit limits, self-exclusion and affordability signals are designed in from milestone one. Honestly: if an operator wanted RG treated as decoration, we'd decline the engagement.

Can you replace parts of our platform without a big-bang migration?

Yes — that's the only way we'd do it. A live book can't stop; we modernise incrementally, running new components in shadow against the old ones until the numbers prove them.

Which engagement model fits an operator?

Odds, risk and settlement are never "done" — most operators run a dedicated team. A bounded piece — a settlement pipeline, a reporting system — fits per-project.

Will your engineers have seen a sportsbook before?

Yes — we've built and run an in-play engine for a casino & sportsbook operator: exposure dashboards, automated limits, sub-second settlement. You'll teach us your book's quirks, not the domain.

Does your platform survive derby night?

Thirty minutes with an engineer who has run an in-play book — including an honest read on what to keep.