Echelon Data Science

Focused Data & AI Projects To Go From Zero To One

Whether you’re a startup building your first product or an enterprise launching a new initiative, you need to build tech to get it into the real world quickly.

Our team is set up for that focused sprint. We come in to understand what you need to build, get it up and running, and give it back to you to operate.

Trusted by leading executives and investors

Pie InsuranceNASCARRubiconIDI LogisticsLineup.aiFlashParking

Case Studies

A selection of projects where we’ve partnered with companies to solve their hardest problems.

Pie Insurance
Predictive ModelsPricing

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.

Imidex
Computer Vision

How do you identify cancer nodules from X-rays with superhuman performance?

Echelon DS built a computer vision lung cancer detection model that surpassed FDA medical device standards, ultimately leading to 510k FDA approval for Imidex’s VisiRad™ XR product.

IDI Logistics
Generative AIAdvanced Web Scraping

How do you use AI to automate manual data workflows?

Echelon DS developed a custom app that scrapes 100+ unique government entity websites and sends weekly AI-generated summaries, reducing IDI’s time-to-value on public information.

Lineup.ai
Predictive Models

How do you forecast demand in real time to staff locations efficiently?

By combining endogenous sales data with exogenous features like weather, events, holidays, and TV schedules, Echelon DS improved demand prediction accuracy by 40% for Lineup.

Rubicon
Predictive ModelsPricing

How do you instantly and uniquely price services for every US ZIP Code?

Echelon DS built a nationwide pricing engine that reduced average quote time from over a day to under a minute, unlocking exponential growth that paved the way to Rubicon’s IPO.

NASCAR
Predictive ModelsDecision Science

How do you make real-time strategy recommendations that win championships?

Created decision-making software for racing teams that won multiple NASCAR championships. Acquired in 2022 by General Motors (NYSE: GM).

BBHedge
Predictive ModelsDecision Science

What’s the mathematically optimal way to bet on baseball?

Echelon DS’s cofounders created BBHedge, a series of predictive baseball models that returned 33,000% in one year before being shut down by an online gambling ban.

OpenWorks
Data Warehouse

How do you create a singular source of truth for data across your enterprise?

Echelon DS developed a robust data warehouse with a universal schema, unlocking real-time unified reporting and laying the foundation for AI-driven automation.

Rubicon
Computer Vision

How do you use truck cameras to locate garbage cans in every neighborhood in America?

Echelon DS built production-ready computer vision models that evolved into Rubicon’s Fleet Technology Business Unit and sold for ~$100M in 2024.

FlashParking
Computer VisionUnique Entity Resolution

How do you automatically identify every unique vehicle that enters and exits a parking lot?

Echelon DS built the parking industry’s first general-use unique vehicle recognition system, scaling to over 16,000 locations across North America.

The Team

World-class talent obsessed with your hardest problems.

Erik Allen, Ph.D.

Practice Lead

Erik Allen, Ph.D.

Chief Data Scientist

Chief Data Scientist with over 20 years of experience and a Ph.D. in computational simulation from MIT. Most recently led 45 data and ML engineers at Clear Capital building computer vision and predictive pricing models. Founded Rho AI (acquired by General Motors, 2020) and advises 15+ startups with data-enabled business models.

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