Optimize non-conference schedules using 6+ years of NCAA NET data. Project opponent strength and maximize tournament positioning before the season starts.
Automated daily tracking of 500+ available players. AI-powered quick evaluations against your program's specific roster needs and system fit.
AI-powered player analysis with structured evaluation frameworks. Get instant prospect assessments that match your recruiting criteria and team system.
Real-time insights and automated notifications. Track key metrics, schedule changes, and portal activity all in one place without manual monitoring.
BYU's non-conference schedule ranked 293rd nationally—bottom 15%—creating immense pressure on Big 12 play for an NCAA Tournament bid. This pilot engagement is now being productized into a repeatable SaaS platform for other programs.
Custom Python tool analyzing 6 years of NCAA NET data to project opponent strength and optimize non-conference scheduling for tournament positioning.
Automated daily reports tracking 500+ available players, with AI-powered quick evaluations against BYU's specific roster needs and system fit.
Gemini API integration for instant player analysis. Structured evaluation framework the recruiting staff uses daily for rapid prospect assessment.
These are terrific. Just having the ability to run it through a predetermined filter for quick analysis is huge for me.
We pull NCAA NET history, roster data, schedule constraints, and transfer portal feeds into our platform.
Our models analyze opponent strength, project schedule quality, evaluate prospects, and generate briefings.
Access dashboards, customizable templates, and automated alerts tailored to your program's specific needs.
Early access subscription pricing varies by program tier. Request access for a quote.
Request accessOur founder spent 9 years selling AI-powered platforms to enterprises and learned what actually works in production—and what's just demo-ware.
Now we're building a product that bridges the gap between AI capability and real-world application for college basketball programs. We understand both the technology and the competitive landscape.
Built by teams with 9+ years shipping enterprise AI platforms. We know how to build products that scale.
Platform validated with D1 basketball programs. Real schedule optimization and player evaluation systems in production.
Python, LLM APIs, and custom analytics. Purpose-built for college basketball programs with real infrastructure.
Founded by former pro athlete (Europe 2009-2012). We understand competition, recruiting, and what programs need to win.