What EdgeTrack Lab is.

Not player advantage-play software. The platform exists to detect advantage play and cheating, not to enable either. It is sold to casino surveillance and integrity teams, and it is not player-facing.

Not a hardware product. There are no sensors, cameras or readers to install, and no integration with gaming equipment or internal networks. Data arrives by manual entry, paste, or file import: from any equipment brand, or from a paper logbook. Analytics tied to one vendor’s wheels or shoes only work on that vendor’s wheels or shoes; this deliberately is not that.

Not a black box. Every score traces to a documented formula, and every exported report carries a methodology annex explaining the statistics used.

All probability, house-edge and statistical methodology is derived from first principles and documented with full working, then checked against the published gaming-mathematics literature and the standard statistical references. Game rules come from published regulator and government sources for the jurisdictions covered.

Every derivation is validated by an automated test suite that runs on each change, and pinned reference values guard against silent drift. Where a result depends on an assumption, the assumption is written down rather than buried in code.

The full methodology reference is available to customers and auditors on request. It is not published, for the same reason the analytical surface is not catalogued publicly.

Hardware-agnostic. The platform works with whatever equipment you run, from any vendor, with no lock-in.

No personal information required. Players and staff are tracked by operator-defined codes that map to your internal systems, and the mapping stays inside your organisation. Name fields exist for convenience but are optional everywhere. The analytics are identical without them.

Your organisation owns its data. Records belong to the organisation, not to the staff member who entered them. Contributions survive staff departures, every entry is attributed to the person who keyed it, and your data can always leave with you.

Statistical honesty. Results carry confidence intervals and plain-English uncertainty statements. The platform tells you when a sample is too small to conclude anything. A tool that never says “not enough data yet” is not doing statistics.

EdgeTrack Lab is an early-stage vendor, and you should evaluate it as one. The position rests on verifiable facts rather than promises: your data is never captive, analysis reports export as numbered PDFs at any time, and a complete export of everything you have entered is provided on request.

The platform was designed and built entirely from public sources: published regulator and government game rules, the published gaming mathematics literature, and original derivation.