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TRUE OVERLAYAI racing intelligence
Thoroughbreds racing around the final bend
AI-powered racing intelligence · Experimental beta

AI reads the race.
You see the edge.

AI-powered horse racing predictions, fair odds and explainable rankings—from Ascot to Saratoga, built for a global racing audience.

UK · IRE · HK live USA launch next Timestamped
US product preview Illustrative

Saratoga · Race 8

The Empire Classic

1⅛m · Dirt · 9 starters · Tote market

High confidence
RunnerModelFairTote
1

Copper State

3-112

22%7/2

5/1

+43%

2

Midnight Circuit

21-43

18%9/2

6/1

+33%

3

Bluegrass Theory

5-221

14%6/1

9/2

−25%

Top AI prediction edge

Copper State · tote 43% above fair

Global coverage, verified

Live where verified. Building for America.

UK, Irish and Hong Kong cards form the live foundation. North American racing is the next launch priority, with tote-aware pricing and US track coverage planned from the start.

View coverage policy

Connected regions

Provider status · right now

3 core live
  • GB

    Great Britain

    Live

  • IE

    Ireland

    Live

  • HK

    Hong Kong

    Live

  • INT

    International

    Selected cards

  • US / CA

    North America

    Launch priority · feed pending

    Planned for major US and Canadian circuits with pari-mutuel odds, fractional display and state-aware wagering context.

  • AU

    Australia

    Expansion roadmap

Expansion labels describe product direction, not live availability. A region activates only after its licensed feed and settlement workflow are verified.

Explainable AI predictions

More than a pick.
AI reasoning you can audit.

True Overlay turns verified race data into structured AI predictions—then shows the probability, fair price, evidence and uncertainty behind every call.

Inspect our AI methodology
  1. 01 / 03

    Read the whole field

    Every runner is ranked. No cherry-picked tip, no missing longshot, no hiding the inconvenient call.

  2. 02 / 03

    Price the probability

    We turn estimated win probability into a fair decimal price, then show the market gap in plain sight.

  3. 03 / 03

    Keep the evidence

    Source fields, freshness, model version and uncertainty stay attached to every published analysis.

Decision guardrail

Set the rules before the market moves.

Pre-commitment keeps a useful model from becoming an emotional shortcut. Define the bankroll, stake and stop point first.

01

Ring-fence

Only use a separate bankroll you can afford to lose.

02

Size it

Set a fixed maximum stake before opening a card.

03

Stop

Pause when the session limit you chose is reached.

Live AI predictions

Today's intelligence board.

Predictions appear only after a complete, fresh racecard is stored. No feed means no fabricated picks.

Live cards

Integration ready · credentials pending

No pretend races. No placeholder picks.

Connect the database and licensed racing feed to begin importing real cards. Until then, every live-data surface remains honestly unavailable.

View platform status →

Analysis standard

A complete record, not a single pick.

READ THE METHODOLOGY →

Ranked field

Every active runner appears exactly once in model order.

Win probability

Probabilities are validated and normalized to 100%.

Fair decimal price

Calculated deterministically from the normalized probability.

Market comparison

Shown only when a permitted, fresh market price is stored.

Field-level evidence

Evidence labels resolve to non-empty source fields for that runner.

Uncertainty

Missing inputs and data completeness remain visible beside the estimate.

Audit identity

Model ID, prompt version, input hash, source time, and generation time are retained.

Settlement

Official results close the record without deleting unsuccessful predictions.

Operating lifecycle

From source request to official settlement.

  1. 01

    Ingest

    Fetch licensed cards and results behind server-only credentials.

  2. 02

    Normalize

    Map provider records into stable races, runners, prices, and result identities.

  3. 03

    Generate

    Create one structured shared analysis for the current source input.

  4. 04

    Validate

    Check identities, evidence, totals, arithmetic, freshness, and completeness.

  5. 05

    Publish

    Lock the prediction with its model, prompt, hash, and timestamp.

  6. 06

    Settle

    Attach official results while retaining every successful and unsuccessful call.

Institutional standards

Rules that do not move with the result.

A mature analysis product needs operating rules that remain intact after a win, a loss, a correction, or a missing feed.

Source before signal

An analysis is published only when its racecard exists in the normalized store and every cited field can be traced to that record.

Probability before promotion

The product presents estimated chances, fair prices, market gaps, and uncertainty. It never turns an estimate into a promised outcome.

The record stays public

Shared pre-race predictions are immutable. Once official results arrive, wins and losses settle into the same public ledger.

Missing data stays missing

Incomplete form, ratings, comments, or prices reduce the displayed completeness score; the system does not invent replacements.