BlueX product · Visual Strategy AI
Visual strategy, directly on the video.
BlueX combines AI video editing and specialised off-ball movement analysis so football staff can see, review, and share strategy without translating raw coordinates.
Visual Strategy AI
The analysis appears where the moment happened.
Horus intelligence system
Coordinates matter. Context changes the game.
A tracking export can stop at x, y, and z. BlueX starts there—then connects every observation to identity, role, phase, action, value, and source evidence so strategy teams never have to read coordinates.
Detection before interpretation
Your football staff should never have to read x, y, or z.
HorusNet decodes once and fans the same frames into specialist heads. BlueX turns the resulting coordinates into searchable football context before any tactical claim is made.
Semantic depth
Not a coordinate warehouse. A queryable model of the match.
Coordinates
x / y / z / timeImage and pitch positions remain the immutable observation layer—not the final product.
Identity
player / team / roleThe observation becomes a known actor with roster context, role, and confidence.
Football context
phase / zone / actionPossession, pitch zone, pressure, movement, action, and outcome make the row football-readable.
Decision evidence
value / risk / causeGame models connect the moment to danger, contribution, sequence, and reviewable causal evidence.
Pitch geometry
Horus Field
Detects pitch lines and camera geometry so every observation can share one match coordinate system.
Player identity
H-Oracle View
Connects a track to the roster while ambiguous identity remains explicitly unresolved for review.
Player observation
Horus Player
Extracts player, goalkeeper, and referee positions as synchronized frame-level evidence.
Ball observation
HorusOrb
Finds the small, fast ball and preserves x, y, height, and trajectory evidence across the match.
Processing target
Minutes
Full-match context is designed to be ready in minutes, with the unified processing pipeline targeting a 20-minute full-match run.
Operational shift
Free the team from manual video-tagging labor.
Parallel processing supports up to five video angles. Analysts review football evidence instead of cutting footage, reconciling spreadsheets, or redefining events from scratch.
Runtime is a processing target, not a guaranteed SLA. It varies by source length, view count, and enabled model heads.
- 100% timeline
- Full-match scope, not sampled highlights.
- Up to 5 angles
- One synchronized, parallel processing run.
- Ask the match
- Find what happened, when, and why.
Automated delivery
From match to report. One pipeline.
Horus carries the same evidence from source video through detection, semantic context, natural-language retrieval, and coach-ready delivery. No manual tagging handoff is required between stages.
- 01
Match
Upload the full match from one to five synchronized video angles.
- 02
Detect
Pitch, player, identity, ball, and time stay aligned in one processing run.
- 03
Context
Coordinates become phases, actions, zones, roles, pressure, value, and evidence.
- 04
Ask
Ask what happened and when. Horus searches the whole match, not a sampled clip set.
- 05
Report
Return time-linked clips, visual strategy, and a reviewable coach-ready report.
AI-native football database
Strategy teams do not read coordinates. They query the match.
Raw observations stay immutable while semantic and reasoning layers remain recomputable. Confidence, taxonomy, model version, evidence, and review state travel with every output so correction improves the system instead of overwriting history.
01 · Space creation
Who moved the defense—and what opened behind them?
Connect the decoy run, defender displacement, and the pocket created for the next action.
Live semantic analysis
Auto · 5.2s
Match structure
Shape, pressure, and phase
H-Block reads defensive structure and pressure. H-Phase and H-Phase-Share turn the timeline into comparable phases of play.
Value and risk
What the movement was worth
The system measures the probability and field value around a moment instead of stopping at a detected event.
Specialist context
Game states need specialist models
Horus-GK evaluates goal-kick outcomes, while H-Action and Horus Calib remain clearly identified research and synchronization layers.
Football intelligence outputs
What staff receives—not another coordinate export.
The product returns searchable match evidence, off-ball and spatial metrics, and game-model outputs in language analysts, coaches, and directors can use immediately.
Full-match retrieval
Ask for the moment. Get the evidence.
Search the full timeline by player, phase, action, outcome, or tactical question and return time-linked evidence without manual scrubbing.
Off-ball intelligence
See what happens off the ball.
Connect support runs, player orientation, field of view, focus of attention, pressure, zones, and team shape to the visible action.
Game-model outputs
Move from location to consequence.
Translate standardized match context into structure, phase, danger, value, and specialist restart intelligence for decision-makers.
Applied computer vision
The vision work behind the service.
BlueX also maintains applied vision capabilities that support movement reconstruction and specialised measurement workflows.
BlueX pilot
Bring one match. See the game beyond the ball.
We will prepare a focused walkthrough using the workflows that matter to your staff.