Athletic Departments Pay $100K+ for Coaching Due Diligence.
Why Not Athletes?

There's a reason the NFL and NBA run extensive combines, interviews, and workouts before drafting players. College programs making $20M roster decisions with siloed software and scattered data deserve the same intelligence.

Core Solutions
What Your Staff Gets
Each program's EDGE3 engine is unique — built around your KPIs, your positional baselines, your coaching philosophy. Our engine is platform-agnostic. It doesn't live inside another vendor's software.
01 — Risk / Fit Model

Dual-Axis Classification

Transfer risk and performance outcome scored independently across multiple positional models trained on 26,575 athletes. Every position has its own data DNA — modeled from the structured and unstructured sources your staff already uses.

02 — Smart Surveys

Behavioral Intelligence

Decision-grade instruments developed by NFL draft coaches and former players. Surface emotional resilience, coachability, role clarity, and decision-making patterns film can't reveal. Coaches see risk flags — athletes see a natural conversation.

03 — Transfer Assessment

Pre-Portal Detection

Most tools react after an athlete enters the portal. EDGE3 identifies when the decision has already been made — before anyone announces it. Survey drift, snap-share decline, social signals, and roster competition all feed the model.

04 — Offer Integrity

Anomaly Detection

31 offers for a 3-star recruit? Something doesn't add up. EDGE3 flags offer inflation, production mismatches, and rating inconsistencies — protecting both coaches and families.

The Coaching Hire Analogy

You'd never hire a $3M coach without due diligence — background checks, scheme analysis, cultural fit assessment, reference calls. But programs are spending millions on athletes whose only due diligence was a star rating and an opinion from a media platform. College programs need an HR-backed onboarding system to protect against risk. EDGE3 brings that intelligence to every roster decision.

Validated Models
Five Positional Models. 26,575 Athletes.
Building since 2022. We've accelerated what others are just now starting — training on the data sources programs already rely on: PFF, Catapult, 247, MaxPreps, On3, Tackle Football, and others. Each model trained on historical outcomes — not projections.
Defense
91.6%
9,034 athletes
Blocking
82.8%
8,459 athletes
Receiving
81.1%
4,534 athletes
Rushing
78.1%
3,633 athletes
Passing
73.9%
915 athletes
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Custom Configuration for Your Program

Annual License + Module-Based Wallets

Each program receives a custom-configured EDGE3 engine built around your KPIs, positional baselines, and coaching philosophy. Pricing is based on the modules you select for each athlete wallet — risk/fit scoring, smart surveys, transfer assessment, offer integrity, NIL monitoring. No hidden fees. No vendor lock-in.

Contact us for program-specific pricing and a live demo of the intelligence your staff would see on day one.

Schedule a Demo →