Predictive modeling Startups
2 case studies with real revenue and traction data from predictive modeling startups.
Study Tree is an AI-powered academic coaching platform that helps colleges improve student retention by predicting at-risk students and intervening before they fail out. Founded by Ethan Kaiser in 2016, the company grew from $5k MRR a year ago to $30k MRR through enterprise direct sales to universities, reaching 5-20 customers paying $25k-$500k annually depending on institution size. The team of 6 is now cash flow positive and preparing to raise $750k on a convertible note with a $6M cap.
Rippleworks is a people analytics SaaS platform launched in 2018 that helps organizations understand employee sentiment and optimize workforce motivation and retention. Starting with athletic teams, they've scaled to 50 customers including police forces, production studios, and high-performing teams, generating over $100k MRR with an average customer paying ~$2,000/month for $4-8 per user licenses. The team of 35 (including 15 engineers) is expanding their sales organization and planning to launch NLP-powered features to drive toward their 10x revenue scaling goal.