Hard Problems,
Real Impact
Whether you’re ready to deploy AI across your operations or just beginning to tap into your data’s potential, we’re here to help.
Read on to explore how we’ve helped our partners solve their hardest problems using AI, data science, and engineering.
TRUSTED BY LEADING EXECUTIVES AND INVESTORS
How do you use big data to price insurance at a billion-dollar scale?
Pie Insurance needed to assess and de-risk the potential of a new telematics dataset before building a dedicated internal team. Echelon DS built a loss ratio model that formed the foundation of a business partnership with Ford to open up the $40B commercial auto insurance market. Echelon DS remains engaged with Pie, contributing to their core underwriting.
How do you instantly and uniquely price services for every US ZIP Code?
In Rubicon’s early days, its growth was bottlenecked by long delays from having to manually provide price quotes to customers. Echelon DS built a nationwide pricing engine that reduced the average quote time from over a day to less than a minute. This unlocked exponential growth for Rubicon’s core business, paving the way to its IPO five years later.
How do you make real-time strategy recommendations that win championships?
Created decision-making software for racing teams that won multiple NASCAR championships. Software directly drove at least three race wins when crew chiefs followed strategy recommendations made in the final stages of the race. Acquired in 2022 by General Motors (NYSE: GM).
What’s the mathematically optimal way to bet on baseball?
Faced with rising student loans and a strong 2005 Red Sox roster, Echelon DS’s cofounders created BBHedge, a series of predictive baseball models that returned 33,000% in one year. BBHedge was forcibly shut down after its rookie season due to an online gambling ban signed into law by Congress.