Every Recruit. One Intelligence Profile.

Stop licensing data. Start understanding it.

Recruiting systems track activity. EDGE3 improves the process that invests in the athlete.

Fit to Purpose AI · Built for trust

Coaches know what they want. EDGE3 gets you there faster.

01

Tested against real outcomes.

Every number on this site is graded against what actually happened.

02

Coach over algorithm.

Every score is overridable. Every signal is shown.

03

Voices in the room.

Trained alongside former pros and scouts.

04

Learns the way players do.

From every snap, every outcome, every mistake.

12,292
Athletes scored in Phase 1
499
Division I FB + BB programs
Time-based
Tested against future outcomes

Verified Phase 1 validation. Every number on this page is graded against what actually happened.


Built around how your staff already evaluates

EDGE3 Truth Intelligence Models.

EDGE3 Truth Intelligence Models (TIM) provide real-time intelligence on your roster and your recruiting targets.

Head coaches get the read on every decision. Recruiting staffs get the board, portal strategy, evaluation workflows, and compliant onboarding in one place. One platform to evaluate talent, assess risk, and decide with confidence.

TIM is the due diligence before the investment. When NIL money is verified and standardized across conferences, that data merges cleanly into the models you’re already running.


EDGE3 Engine · How It Works

Built on data feeds your staff already trust.

247Sports PFF On3 Rivals MaxPreps Hudl
Synergy KenPom BartTorvik EvanMiya NCAA stats X

EDGE3 tells each AI agent what to retrieve, how to interpret it, and when to bring it into the player decision.


From activity to intelligence, in six steps.

EDGE3 connects to the systems your staff already uses. Nothing gets abandoned. The process gets visible.

01

Connect activity and context.

Evaluations, recruiting records, roster conditions, athlete and family feedback, and financial expectations come together in one place.

02

Reconstruct the real process.

See how each athlete actually moved through evaluation, recruiting, onboarding, development, and retention or transfer.

03

Identify variation and risk.

Surface missing context, inconsistent workflows, position-room friction, and expectation gaps before they cost you a player.

04

Generate decision signals.

Program-specific Transfer Risk, Performance Trajectory, and one combined Red/Yellow/Green Risk/Fit read per player.

05

Preserve the institutional record.

Why the decision was made, what was communicated, what was committed, and what the athlete and family prioritized.

06

Learn from outcomes.

Expectations get compared with actual performance and retention, so every recruiting cycle starts smarter than the last.

Staff knowledge stays when people change. The model reads. The staff decides.


Before EDGE3 / After EDGE3

How EDGE3 fits into your staff.

The recruiting workload doesn’t shrink. The decision time does.

Before EDGE3

The staff is moving fast. The data is not.

  • You don’t see a transfer coming until he hits the portal
  • Ten data sources on one recruit. Each one says something different. None of them line up
  • Roster decisions on a clock. Fragmented intel. The promise that AI will sort it out
  • Red flags surface after the offer, not before
  • The recruit gets debated three more times before a decision
After EDGE3

One Scouting Report per recruit. Color-coded. Decision-ready.

  • Transfer risk surfaces before the portal opens. You move first
  • One unified read per recruit. Every signal traceable. Every score overridable
  • Same model. Two role views. Head Coach, Recruiting Staff. Decision-ready in one pass
  • Red shows up early. You address it while there’s still time
  • The recruit gets the call. Not the deferral