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Welcome to FlyIQ Ask AI. I can help you analyze game film, find specific plays, generate reports, and identify coaching opportunities. Try asking me to: - Find clips matching specific criteria - Generate teach tape for a player or position group - Build a scouting or post-game report - Identify the top fixable errors from any game All answers are source-grounded in your actual game data and evaluation pipeline.
04:14 PM
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AI responses are grounded in your game evaluation data
Play 14 - PA Boot RT
Model evaluation score and confidence
Offensive line failed to execute zone blocking scheme, resulting in immediate pressure from the defensive end. The quarterback was forced to throw off-platform, leading to an inaccurate pass.
OL_ZONE_BLOCK_001
Left tackle failed to reach the defensive end on the zone step
OL_COMBO_BLOCK_003
Guard-tackle combo did not transfer cleanly to second level
QB_POCKET_002
Quarterback climbed pocket when edge was still available
WR_ROUTE_DEPTH_001
Routes reached correct depth for play-action concept
Supporting Data
Pressure Time
1.8s
Avg Pressure Time
2.6s
Qb Throw Accuracy
62%
Expected Points
-1.2 EPA
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Last updated: February 27, 2026
FlyIQ Sports LLC ("FlyIQ," "we," "our," or "us") is committed to protecting your privacy. This policy describes how we collect, use, store, and protect information when you use our decision intelligence platform at flyiqsports.com and related services.
Account Information
When you create an account or your organization subscribes to FlyIQ, we collect: name, email address, organization name, role/title, and billing information (processed by Stripe).
Film and Performance Data
We process game film, practice video, roster data, and related athletic performance information uploaded by your organization. This data is used exclusively to provide our grading, analysis, and intelligence services to your program.
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Coach Corrections
When coaches review, agree with, correct, or flag AI-generated grades, those feedback signals are stored as part of our governed learning system. This data is used exclusively to improve grading accuracy for your organization.
Each organization's data is logically isolated within our platform. Your film, grades, scouting intelligence, tendency analysis, and coaching corrections are never shared with other programs, teams, or organizations. Row-level security enforces data boundaries at the database level.
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FlyIQ uses computer vision (YOLOv8) and rule-based evaluation to process film. Our governed learning system means that coach corrections improve grading accuracy over time. Important: your corrections only train your organization's calibration profile. We do not use your coaching corrections to train models for other clients.
AI-generated grades and intelligence are advisory only and should not be the sole basis for personnel or strategic decisions.
For educational institutions, FlyIQ processes student-athlete performance data as a "school official" under FERPA. We use this data solely for the legitimate educational purpose of evaluating athletic performance. We do not disclose personally identifiable information from education records to unauthorized parties.
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FlyIQ is designed for use by coaching staff, analysts, and scouts at the high school level and above. We do not knowingly collect personal information from children under 13. If athlete performance data involves minors, it is processed under the direction and authority of the educational institution.
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