EX / 001SPORTS MARKET INFRASTRUCTURE
INTELLIGENCE, DATA & MARKETS

Sports research, with sources you can check.

EX Group starts with EX Insight: a proposed pre-match research tool for sports editors and analysts. Explore a sample brief with sources, open questions and revision notes.

EX GROUP / 2026 AI • DATA • MARKETS Conceptual scene
REAL-TIME SPORTS DATAPROBABILITY MODELSMARKET INFRASTRUCTUREAI DECISION SYSTEMSENTERPRISE APIsRISK CONTROLS
DataSports context
AIExplainable insights
MarketsParticipation research
UtilityProduct-linked concepts
Project focus areas, not operating results or live service claims.
AVAILABLE TO REVIEW

Project progress and public deliverables

Review what is available today, then explore the next phase.

Last reviewed:

EX Insight

Research example available

Review a fictional brief and its source records.

Read the sample

EX Sport

Simulation available

Explore the simulated market experience.

View the demo

EXT

Icons and official resources available

Check the published scope and utility status.

Official resources
Updates and the next phase
THE CATEGORY SHIFT

Every match starts a new conversation.

Lineups, injuries and changing reports can tell different stories about the same match. A useful brief keeps each claim tied to its source and update time.

The proposed pilot brings these updates into one reviewable brief, then compares the checking effort and accuracy with the editor’s current workflow.

01Scope
02Source
03Compare
04Summarise
05Review
ONE CONNECTED SYSTEM

Intelligence becomes infrastructure.

Start with one useful research task in EX Insight. Evaluate distribution and APIs after repeat use; EX Sport and EXT remain separate, conditional next steps.

How the products connect

Shared data definitions make these layers easier to connect, while separate access rules and operating boundaries keep each product understandable on its own. An intelligence user does not automatically become a market participant or need to hold a token.

01

Validate

Test a recurring research task with an Insight pre-match brief.

02

Distribute

Explore partnerships and APIs after repeatable, viable delivery.

03

Expand conditionally

Assess demand and operating requirements separately for Sport and EXT.

EX INSIGHT / PROPOSED FIRST USE CASE

One fixture. A briefing you can check.

The proposed pilot focuses on sports editors and researchers preparing pre-match coverage. The task is to reconcile scattered updates into a source-linked briefing—not to provide a betting recommendation. The first competition and data sources would be agreed before a pilot.

WHO

Editors and research teams

People who repeatedly check fixture context, player availability and changing reports before producing a briefing. Their frequency of use and willingness to pay still need validation.

TASK

Reconcile the information

Fix the event and cut-off time, preserve the source for each claim, flag conflicting reports and separate confirmed facts from interpretation.

OUTPUT

A reviewable research brief

A concise summary, source list, unresolved questions and revision notes. The pilot would test whether this reduces checking effort without sacrificing accuracy.

This is a proposed pilot scope. The current website shows illustrative interfaces, not a connected research service or verified customer results.

THE EX PLATFORM

Three layers.
One intelligence network.

Built as independent products. Designed to become more valuable together.

Swipe to explore the three product directions

01 / INTELLIGENCE LAYER
PRE-MATCH BRIEF · FICTIONALNorthbridge vs Riverside

3 source records · 1 open question · 2 revisions

The first product focus: a pre-match brief that keeps sources, unresolved claims and revisions together for editorial review.

Explore Insight
02 / MARKET LAYER
48¢
49¢
50¢
51¢
52¢

A later market-infrastructure concept for outcome rules, order books and resolution records, subject to demand and operating readiness.

Explore EX Sport
03 / ECOSYSTEM LAYER
ACCESSREWARDSLIQUIDITYCOMMUNITY

A utility-led ecosystem layer for access, incentives and participation across EX products—introduced only as products and controls become ready.

Explore EXT
INTELLIGENCE IN MOTION

From raw event data to an informed view.

Probability comparison is a later research direction. Compare estimates only when they use the same event, outcome definition and information cutoff.

Here, 52% and 47% differ by five percentage points. The gap prompts a review of assumptions and sources; it does not establish a return or an advantage.

About EX Insight
ILLUSTRATIVE MODELFOOTBALL / FICTIONAL FIXTURE
NORNorthbridge
VS
RIVRiverside
EX AI PROBABILITY52%
MARKET PROBABILITY47%
MODEL–MARKET GAP +5 pp

Illustrative interface only. Not live data, a recommendation or an indication of future results.

INFRASTRUCTURE BY DESIGN

Built from the ground up for intelligent markets.

The reference architecture separates data ingestion, model evaluation and product access, so inputs, outputs and responsibilities can be reviewed independently.

Read the design principles

Reliable operation begins with practical questions: where did an input come from, which version produced an output, who may use it, and what should happen if a dependency fails? These questions guide the design; they are not a claim of certification or a published service guarantee.

Explore our technology
Blue optical strands within layered glass data channels
Concept illustration · not a physical EX facility
01ApplicationsInsight / Exchange / APIs
02Market EnginePricing / Orders / Risk
03AI EngineModels / Agents / Signals
04Data & SecurityStreams / Cloud / Controls
THE EX DATA FLYWHEEL

Every interaction can make the next decision better.

Feedback can highlight missed updates, unclear sources and repeated work. Use these findings to test whether the next version improves the research task.

How improvement is evaluated

Model updates should be tested before they are adopted. Product signals should be used only within appropriate permissions and privacy boundaries. Network effects are therefore a development hypothesis to validate, not an automatic consequence of collecting more data.

Explore the data network
EXLEARNING NETWORK
01SPORTS DATA
02AI MODELS
03MARKET DATA
04USER SIGNALS
WHY EX GROUP

Infrastructure for a category still being formed.

01

A defined first user

Start with one recurring task for sports editors and researchers, rather than every audience at once.

02

A workflow comparison

Test source accuracy, review time and missed information; an interface example is not product evidence.

03

Demand and delivery cost

Assess repeat use, willingness to pay and the cost to deliver the product together.

04

Conditional expansion

Use evidence to decide on APIs, market services and ecosystem mechanisms—not simultaneous launch assumptions.

EXECUTION ROADMAP

Define the task.
Test the workflow.
Decide with evidence.

Full roadmap

Swipe to explore the proposed stages

01PROPOSED WEEKS 1–4

Agree the pilot task, data rights, sample input and manual-workflow baseline.

02PROPOSED WEEKS 5–8

Build and assess a source-linked research prototype with revision records.

03PROPOSED WEEKS 9–12

Review use, willingness to pay and delivery cost; continue, refine or pause.

These proposed windows start from an agreed pilot kick-off, not today. They depend on data rights, staffing and scope. The 3–6 month follow-on is conditional on useful results; no completed milestones or release dates are claimed.

THE NEXT MARKET LAYER

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