Rule42 Builds A Knowledge Layer For Scouting. Intel's Former President Funded It. The Layer Is The Product, Obviously.
Rule42 Sports Technology Group is launching an AI-powered scouting tool next month targeting high school and college baseball and softball. Former Intel president Renée James founded the company, former MLB All-Star Jed Lowrie leads baseball operations, and former UCLA softball star Tara Henry, now head coach of Great Britain's national team, leads softball. The approach is not to replicate existing scouting data but to build a knowledge layer with machine learning that creates searchable player records.
The underlying principle here is aggregation arbitrage. The mechanism is the knowledge layer, which is academic speak for taking scattered, messy data and imposing structure on it so that machine learning can actually operate on it. The lesson: you do not need new data. You need to make existing data computable. That is what separates a database from a product.
Rule42 Sports Technology Group, founded by Renée James, with Jed Lowrie leading baseball and Tara Henry leading softball. Launch is targeted at next month with a focus on high school and college players.
Step 1: Open Google Sheets and create a simple player evaluation form with fields like name, position, speed, arm strength, and notes. This is your primitive knowledge layer. Step 2: Enter five to ten rows of sample data for players you know or invent. Notice how structuring the data makes it searchable and comparable. Step 3: Use Google Sheets' Explore feature to ask questions about your data, such as which position appears most frequently. This simulates, crudely, what Rule42 is doing with machine learning at scale.