We build custom prediction market platforms — trading engine, real-time data, liquidity, wallet and settlement — ready to launch. You own the platform, the code and the markets.
Sample build · one market from a prediction exchange we design and code
Every prediction platform operates differently. Some focus on sports markets and live event trading, others follow the Polymarket-style model where users trade positions on the outcome of future events. We build the platform around the model you actually want to operate, because the model decides what has to sit underneath it.
We build platforms where users trade positions around games, matches, tournaments, teams, players and live in-play events, with the engine wired directly to a sports data feed so markets open, move and settle without manual work.
We build event-based marketplaces where users buy and sell positions on the possible outcomes of future events, with prices that read as implied probability and a portfolio that tracks every open position in real time.
We combine both models into one product, so users reach sports prediction markets alongside broader event-based markets from a single account, one wallet and one portfolio, with the categories kept distinct in the interface.
We integrate blockchain, smart contracts, wallets, oracle infrastructure and on-chain settlement for Web3-based prediction platforms, including hybrid architectures where trading stays off-chain for speed and settlement runs on chain.
Prediction markets stopped being a curiosity somewhere around late 2025. The volume, the valuations and the institutional money all arrived at once, and the operators moving now are the ones whose engines can actually hold the load.
Sources: Bernstein via Dealroom (2030 projection, 2026 forecast, category mix), CoinLaw prediction market statistics (monthly volume, trailing-year venue volumes), TRM Labs (on-chain wallet activity). Figures are market-wide and move quickly; treat them as direction, not a guarantee.
The market engine controls how prediction markets are created and operated. We develop the infrastructure that lets your team create, configure, manage, close, resolve and settle every market on the platform, without an engineer in the loop each time.
Market configuration we build for
The market is created against a fixture from your sports data feed, opens at a set time, closes at kickoff or at a defined in-play trigger, and resolves automatically once the official result arrives. Users trade the available outcomes for as long as the window is open.
The market is created with an explicit resolution rule and a named data source written in at creation, not decided afterwards. Users trade YES or NO positions based on their expectations, and the rule is what settles any dispute about the outcome.
Sports is the category that carries most prediction market volume today, and it is usually where a new platform finds its first real users. We build sports markets around the leagues, competitions, teams, players and events you want to support, and wire the data provider in behind them.
Sports we build markets for
Market types we engineer
The base market for every fixture, created automatically from the schedule in your data feed.
Markets built on individual player events, wired to the player-level data your provider exposes.
Team-level markets covering totals, margins and performance thresholds across a fixture.
Markets on discrete in-game events, opened and closed against the live event stream.
Long-dated markets that stay open across a competition and re-price as it develops.
Statistical threshold markets resolved directly against the provider's final stat line.
Markets that open, suspend and settle inside the game, on a sub-second clock.
Markets with more than two possible outcomes, each priced and settled independently.
We integrate sports data providers directly into the market engine, so fixtures, scores, stats and live events flow into market creation, pricing display and resolution without anyone updating a spreadsheet mid-game.
We build event-based prediction marketplaces on the mechanics that modern prediction exchanges run on. Users discover markets, review current prices, buy or sell positions, watch prices move and track their portfolio, all against measurable real-world outcomes with resolution rules fixed at market creation.
Market categories we support
What the platform displays
Will Event X happen before Date Y?
Resolution source fixed at creation · closes Dec 31
For an exchange-style prediction platform we build a Central Limit Order Book engine that accepts buy and sell orders from users and matches compatible ones against each other. The order book is what turns user demand into a price, so it has to be correct under load rather than merely fast.
What the engine handles
We implement price-time priority or another matching mechanism according to your trading model, and the book displays available liquidity before a user commits to a trade.
We build the infrastructure that connects buyers and sellers and processes compatible orders according to your platform rules, with every fill written to the ledger as it happens.
Real-time behaviour matters most on sports markets, where a price that updates a few seconds late is a price somebody trades against you. We build infrastructure that pushes changes to the interface as they happen, so users never refresh to find out what the market is doing.
We build this on WebSockets, Redis, event-driven services and real-time APIs, with the market data stream separated from the order path, so a spike in spectators watching prices never slows down the users actually placing orders.
We connect your platform to the sports data providers that power your markets, then wire that data through market display, the real-time trading interface, analytics and the resolution workflow, so one feed serves every part of the product rather than four separate integrations.
Where the data goes
In a prediction market the price is the probability. We build the pricing infrastructure that turns live order flow into a current price on every market, then keeps that number, the charts behind it and every position it affects in sync as users trade.
Price as implied probability
Both sides always sum to one dollar, so the market reads as a probability without anyone converting it. A user paying 72 cents is buying an outcome the market currently rates at 72%.
As users trade, we update market information in real time according to the trading model implemented for your platform, so the price on the chart and the price in the order book never disagree.
A prediction platform needs a process for deciding outcomes that holds up when money is on the line and somebody disagrees. We build the resolution and settlement infrastructure around rules fixed at market creation, with the data source named up front rather than chosen after the fact.
We connect resolution with
For decentralized platforms we connect market resolution to oracle and smart-contract infrastructure, so the same verified outcome that settles a custodial market can settle an on-chain one, with every resolution written to an audit trail either way.
Liquidity decides how easily users enter and exit markets, and an empty order book is the single most common reason a new prediction platform stalls after launch. We build the liquidity layer around your trading model rather than applying the same mechanism to every platform.
We plan liquidity before launch, not after the book sits empty for a week. That usually means an internal maker quoting two-sided prices from a pricing feed, incentives that pay users to post resting orders, and spread monitoring that alerts your team the moment a market thins out.
A prediction platform is four products sharing one engine: discovery, the market page, the trade itself and the portfolio behind it. We design and build all four, because a user who cannot find a market or read their own position will not place a second trade.
We build the surface that gets a user from opening the app to a market worth trading, in seconds rather than scrolling. Discovery is what decides whether liquidity concentrates or scatters across hundreds of thin markets.
What we build into it
Category-led browsing built off the same market metadata your admin team configures at creation.
Indexed search across market questions, categories and tags, tuned to return open markets first.
Filters on sport, event type, closing window and status, applied server-side so results stay fast.
Ranking computed from real volume and price movement rather than a manually curated list.
Everything currently open for trading, with live price and volume on each card in the list.
Markets approaching their close, surfaced separately because that is where late volume concentrates.
The market page is where a user decides whether they believe the current price. We build it to show everything that price is made of, including the rules that will settle it, instead of a number with no context.
What we build into it
The exact question and every tradable outcome, rendered from the market configuration itself.
Live price with the implied probability beside it, so the number reads correctly to a first-time user.
Charts drawn from the same tick data that drives settlement, not a smoothed approximation of it.
Traded volume plus visible depth at each price level, so users see real size before they commit.
The resolution rules shown on the page itself, which is what prevents most post-settlement disputes.
The named data source and closing time, published up front rather than explained after the fact.
We build order entry for the moment it actually happens: one-handed, mid-game, with seconds to spare. Every action below writes straight to the engine and comes back with a confirmed state rather than an optimistic one.
What we build into it
Take the current offer at market, with cost, potential return and fees shown before confirmation.
Exit against the opposing side of the live book, priced off real depth rather than a static quote.
Resting orders that sit on the book until matched, with clear pending versus filled states throughout.
Cancels processed by the engine itself, so a cancelled order can never quietly fill afterwards.
Every resting order with its price, size and remaining quantity, updated the moment anything fills.
A full execution record per trade, reconciled against the ledger entry created at the same instant.
The portfolio is what a user checks far more often than any market page. We build it off the ledger directly, so available balance, exposure and profit and loss agree with the accounting rather than approximating it.
What we build into it
Every live position with entry price, current price and unrealized value recomputed as the market moves.
Settled and exited positions with the realized result and the resolution that produced it.
Spendable balance held separately from collateral locked in open orders, so the number is never misleading.
A complete, exportable record of trades, deposits, withdrawals and settlements in one timeline.
Realized and unrealized P&L computed from actual fills, reconciled to the cent against the ledger.
Total exposure broken out by market and category, so a user can see concentration at a glance.
Money in and money out is the part users judge you on hardest. We build the wallet and payment layer your business model needs, on a double-entry ledger where spendable balance and collateral locked in open orders are tracked separately from the very first cent.
We build transaction tracking into the wallet itself, so users can see every deposit, withdrawal, trade and settlement in one history, and your finance team can reconcile the platform against the processor daily rather than at month end.
If you want to launch a decentralized prediction platform, we build the blockchain layer around your marketplace: contracts, wallets, tokens, settlement and the oracle infrastructure that connects a real-world outcome to on-chain market logic.
Market, escrow and settlement contracts written and audited against your market mechanics.
Connect, sign and recovery flows built for users who are not crypto-native.
Token mechanics where your model calls for them, including incentives and rewards.
Transaction construction, gas handling and failure recovery that does not lose user funds.
Positions settled by contract once a verified outcome reaches the chain.
Outcome data delivered on chain through the oracle architecture your market type needs.
Every on-chain action surfaced in the user's history alongside off-chain activity.
Testing, review and third-party audit coordination before a contract holds real value.
For decentralized markets we integrate oracle infrastructure to connect real-world outcomes with on-chain market logic, and help you select the oracle architecture that suits your market type. For sports markets that means verified results reaching the resolution workflow. For broader event markets it means connecting the appropriate external data source.
Networks we work with
Chosen against your requirements for transaction speed, cost, scalability, ecosystem compatibility and smart-contract needs, rather than by default.
Hybrid architecture
We can build a hybrid architecture where trading and other high-frequency components stay off chain for speed while selected settlement or asset functions operate on chain.
Your operators need as much software as your users do. Teams that scope only the trader app end up running markets, risk and finance out of database queries within a month of launch, so we build the operator side into the same delivery rather than after it.
Full control of the market lifecycle without an engineer in the loop, with every action written to an audit trail as it happens.
The account tooling your support and compliance teams need on day one, scoped to specific roles rather than one shared admin login.
Live visibility into what the engine is doing, instrumented at the matching layer rather than only at the API edge.
Money movement reported straight off the ledger, broken out by type and period and reconciled against settled trades.
The controls that keep a market from being moved by one account, enforced in the engine rather than in a support process.
An append-only record of every administrative action, exportable in the formats your finance team and any regulator will ask for.
AI belongs in the parts of a prediction platform that are genuinely hard to staff: surfacing the right market out of hundreds, drafting market copy at volume, and catching the account behaviour a human reviewer would only notice after the money left. We build these as working systems, not as a badge on the marketing page.
Ranking and recommendation that puts relevant sports and event markets in front of each user, built off their actual trading history rather than a static popularity list.
Workflows that help administrators draft market questions, descriptions, categories and resolution wording from a selected event or data record, with a human approving before it lists.
Models that analyse account and trading activity to surface unusual behaviour and probable fraud patterns, scored and queued for review instead of auto-blocking real users.
Detection across trading volume, order activity, market activity and user behaviour, tuned so a genuinely busy game day does not read as an incident.
Historical data turned into deeper analytics on market activity, trading behaviour and price movement, so your team can see which categories actually hold liquidity.
You do not have to choose between a sports prediction platform and a broader prediction marketplace. We build both into the same product, with separate categories in the interface and one engine, one account and one balance underneath.
Separate on the surface, unified underneath
We build separate categories, navigation, market pages, trading interfaces and analytics for each side, while keeping one account and portfolio system behind them. A user's balance, positions and history stay in one place no matter which market they trade.
We design the platform so individual components scale independently as your marketplace grows, because the matching engine, the market data stream and the web app fail under load in completely different ways and should never be forced to scale together.
Responsive web and mobile interfaces built for one-handed order entry during a live event.
APIs, user services, market services, trading systems and third-party integrations.
Chosen against your data shape and performance needs, not by default preference.
Live market and sports updates pushed to every open client without polling.
Integrated where your model calls for on-chain settlement, custody or tokens.
We start by writing down everything you need, then build the engine, the data layer and the apps one feature at a time rather than as one large reveal at the end. You see and sign off on working software at every stage, not just a plan.
We document your business model, target users, sports categories, event markets, trading mechanics, monetization model and technical requirements. This becomes a written spec and a feature-by-feature roadmap you approve before we write a line of code.
We map the market engine, trading engine, order book, matching engine, data layer, liquidity layer, settlement system, wallet infrastructure, admin system and any blockchain components into one technical blueprint, with the service boundaries settled before development starts.
We design the complete trading journey as clickable prototypes: discover market, view market, analyze price, place order, track position, monitor outcome, settlement. The interfaces are built for casual users and experienced prediction-market traders at the same time.
We build market creation, order management, matching, pricing, positions, portfolio, transactions and settlement in that order, each piece shipping to staging with its own automated tests as it is finished, instead of arriving bundled in one release at the end.
We connect the data providers your markets depend on and build the flow between those providers and your market engine, with each integration verified against the vendor's sandbox before it touches a live market.
Where your model requires it, we integrate smart contracts, wallets, tokens, oracles, the chosen network and on-chain settlement, with contract review and third-party audit coordination before anything holds real value.
We test market creation, order placement, order matching, price updates, live sports updates, portfolio calculations, market resolution, settlement, payment flows, blockchain transactions, security and performance. Testing everything together catches the interactions that testing each feature alone cannot.
We deploy your marketplace to production infrastructure with on-call coverage through your first major event, then keep going: new sports, new markets, new trading functionality, integrations, mobile apps, AI capabilities and blockchain features as the product grows.
Three shapes of build cover most prediction market engagements. What moves the number is how many market categories you list on day one, whether markets run live in-play, and whether there is a blockchain layer underneath.
$100K – $220K*
4–6 months to launch
$250K – $450K*
7–10 months to launch
????*
Scoped per engagement
Scope bigger than these tiers, or a model that does not fit them?
Custom Request — Get a Quote NowCost and timeline above are estimates only, not fixed quotes — your exact number is scoped on a free call.
Licensing, legal counsel, regulatory capital, data feed subscriptions and payment processing costs sit outside the build and vary enormously by route and jurisdiction. We are a software development partner, not a law firm or licensing consultancy, so settle your regulatory route with qualified counsel and we will build to the requirements they define.
Prediction markets fail on the unglamorous parts: an empty book, a fill that should not have happened, a settlement nobody can defend. Those are engineering problems, and they are what separates a team that has shipped money-moving software from one that has not.
| Capability | Freelancers | Generic Dev Shops | Idea UsherCustom Market Build |
|---|---|---|---|
| True CLOB matching engine | Rarely attempted |
Usually a database table |
Purpose-built and load-tested |
| Liquidity planned before launch | Not addressed |
Treated as marketing |
Maker engine and incentives |
| Double-entry ledger and escrow | Single balance field |
Retrofitted later |
Built in from the first cent |
| Real-time at peak-event load | Polling and hope |
Untested past demo scale |
Load-tested to peak traffic |
| Operator and admin tooling | Database access |
Basic CRUD screens |
Full ops console with audit log |
| Blockchain and oracle capability | One specialism or the other |
Subcontracted out |
In-house Web3 engineers |
| You own the source code | Usually |
Varies by contract |
Full ownership and handover |
| Continuity if someone leaves | Project stops |
Depends on the bench |
250+ team, documented handover |
Different starting points, same engine underneath. What changes is which layer you need first and how wide the market surface has to be on day one.
Entering the category with a differentiated angle and needing a working exchange fast enough to matter.
Converting a large sports audience into a product, usually starting with free-to-play before real money.
Sitting on an engaged user base and moving into prediction markets adjacent to existing contests.
Building on-chain prediction markets that need serious matching, oracle and wallet engineering.
Already holding licences and adding an exchange product their current platform cannot deliver.
Licensing exchange infrastructure to operators, which needs multi-tenancy and shared liquidity from day one.
Adding event contracts beside existing trading products, for users who already understand an order book.
Launching outside the U.S., where licensing, payment rails and data residency shape the architecture.
We have shipped money-moving software before, and prediction markets are unforgiving about the parts nobody demos: the fill that should not have happened, the balance that drifts, the settlement your support team cannot explain.
Product design, frontend, backend, trading infrastructure, integrations, blockchain, testing and deployment, handled by one team rather than stitched across three vendors.
We do not force every prediction platform into the same architecture. The market structure and trading mechanics you choose decide what we build underneath.
We build sports prediction exchanges and broader event-based markets, including both inside one platform when that is what your model needs.
Live sports data, real-time prices, order books, trading activity and market updates, engineered to hold up when a million people watch the same final.
Blockchain, smart contracts, wallets, tokens, oracles and on-chain settlement built by our own engineers, not subcontracted to a third party mid-project.
The architecture assumes you will add markets, sports, users, volume, integrations and features, so growth is a configuration exercise rather than a rebuild.
Bring us your model and target markets and we will map the engine, the data layer, the liquidity plan and the compliance surface it needs, then hand you a scoped estimate with a realistic timeline.
Book a Free Strategy CallThe eight questions that come up in almost every first call about a prediction market platform, answered the way we would answer them on that call.
A prediction market platform lets users trade positions on the outcome of future events. Each outcome trades as a contract priced between one cent and ninety-nine cents, so the price itself reads as an implied probability. Users buy the outcome they expect and sell the one they do not, and when the event resolves the winning positions settle at full value. The core software is a market engine, an order book, a matching engine, a pricing layer, a resolution system and a wallet, which is a fundamentally different build from a sportsbook that sets prices and takes the other side of every trade.
A focused launch platform covering one market category, a working order book, wallet, resolution and a trader app typically takes four to six months. A multi-category platform with live sports markets, deeper liquidity tooling, native apps and a wider compliance surface usually runs seven to ten months. Blockchain and oracle layers add time on top of that, and the exact number depends on your market types, data providers and regulatory route, which is what the first two weeks of discovery settle.
A launch platform with one market category, order book, wallet and settlement generally starts around $100,000 and runs to roughly $220,000. A full multi-category platform with live in-play sports markets, market-making tooling and native apps typically ranges from $250,000 upward. Licensing, legal counsel, regulatory capital, data feed subscriptions and payment processing costs sit outside the build and vary enormously by jurisdiction. Every number here is an estimate, not a fixed quote.
A central limit order book holds every open buy and sell order at each price level and matches compatible orders against each other, usually by price-time priority. It matters because in a prediction market the price is set by what users are willing to pay rather than by an operator, so the book is the mechanism that produces the probability. It also handles partial fills, cancellations and position updates correctly, which is what stops a user's balance and their open positions from drifting apart.
Each market is created with explicit resolution rules and a named data source. When the event concludes, the platform pulls the official result from that source, verifies it against the rules, marks the market resolved and settles every open position automatically. Sports markets typically resolve against a sports data provider. Broader event markets resolve against official APIs or administrator review. Decentralized platforms route the same verified outcome through an oracle into a smart contract, which then handles settlement on chain.
Yes. We build smart contracts, wallet connectivity, token functionality, on-chain transactions, on-chain settlement and oracle integration, and we work with networks chosen for your requirements around transaction speed, cost, scalability and ecosystem compatibility. Many operators run a hybrid architecture where high-frequency trading stays off-chain for speed while settlement and asset custody operate on chain, and that choice should follow your regulatory route rather than the other way around.
An empty order book is the single most common reason a new platform stalls, so we build for it directly rather than hoping users arrive at the same time. That means an internal market-making service quoting two-sided prices from a pricing feed, configurable maker rebates and incentive programs that pay users to post resting orders, spread and depth monitoring with alerts, and the option to route unmatched interest to a liquidity partner. For suitable decentralized platforms we can also build liquidity pools and automated liquidity mechanisms.
Yes, and most operators eventually want both. We build separate categories, navigation, market pages, trading interfaces and analytics while keeping one unified account, wallet and portfolio system underneath, so a user's balance and positions live in one place regardless of which market they trade. The engine stays shared. What changes per category is market creation, the data source behind it and the resolution rules attached to each market.
We build prediction market platforms from the trading engine to the user interface. Whether you are launching a sports prediction exchange, a Polymarket-style marketplace, a decentralized platform or a combined sports and event ecosystem, we build the complete technology infrastructure underneath it.
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