The company that turned “where do you work?” into the most interesting question in business
The Challenges
100+ cities. Thousands of desks. No idea which ones to discount. Every location had different demand, different competition, different seasonality.When you’re guessing on price across 100 cities, every wrong guess costs you a floor.
Revenue was growing. But so was churn. Members signing up fast — and leaving just as fast.Growth without retention is a leaking bucket.
$886M to $3.3B in three years. The systems couldn’t keep up. What worked for 50 locations broke at 500.Hypergrowth is a luxury problem. Until it isn’t.
What We Delivered
$3.3B
Revenue — scaled from $886M through
ML-powered pricing and demand prediction
30%
Revenue lift — from ML models that priced,
discounted, and filled every desk automatically
100+
Global markets running on predictive systems
that replaced manual guesswork