A direct comparison — from event-focused podium scoring to a continuous ranking, AI-assisted measurement, and athlete-intelligence platform.
Not an attack on other federations — the world needs traditional events too. But SEGA is engineered for the next generation of competitive Yogasana: measurable, longitudinal, discoverable.
| Traditional approach | SEGA model | |
|---|---|---|
| Scoring | Human visual estimation | AI-assisted measurement + human panel oversight (patent-pending PI2026005219) |
| Focus | Podium only — top 3 remembered | Every athlete analysed, ranked, and given a Winning Gap |
| Result shelf-life | Announced once, filed away | Continuous ranking that updates as more athletes compete |
| Athlete record | A trophy in a cabinet | Longitudinal profile — every performance, score, medal, asana played, over time |
| Non-medalists | “Better luck next time” | Exact gap to bronze / silver / gold in points + specific improvement targets |
| Judge variance | Human panels vary between judges and across the day* | Deterministic run-to-run — the AI re-scoring the same video returns the same result, with human oversight* |
| Viewing angle | Human panel physically limited to one side | Two-camera fusion — front + 45° side for full spinal geometry |
| Fatigue drift | Judge attention decays over 6-hour tournament | Constant measurement — hour 1 and hour 6 scored identically |
| Appeals | Verbal reconstruction of the moment | Video re-run + deterministic AI re-score + head-judge override with logged reason |
| Discoverability | Results in a PDF nobody opens | Structured HTML pages — athletes, asanas, countries, schools all searchable |
| Data | Winner name in an archive | Full analytics — score distributions, medal thresholds, participation trends |
| Continuity | Event-to-event, no thread | Athlete arc — improvement traced across seasons, categories, geographies |
| Global visibility | Local newspaper coverage | Structured global search — schema.org, sitemap, indexed by Google worldwide |
* Specific deviation figures (e.g. AI run-to-run vs human panel spread) will be published with a full methodology — sample size, number of judges and performances, and statistical method — in the forthcoming AI Validation & Error Report. Until then they are described qualitatively rather than as headline numbers.
Open the AI Judge Evidence Centre for the full technical methodology, or see live World Rankings to feel the platform in action.
Evidence Centre → Live Rankings →