Eppo provides an experimentation platform for evaluating and customizing AI models and a general A/B testing service for apps and websites. Its features include a "contextual bandit" system that detects new variants of sites, apps, or models and dynamically routes traffic to explore their performance. Eppo launched out of stealth in 2022 and now serves "several hundred" enterprise customers, including Twitch, SurveyMonkey, DraftKings, Coinbase, Descript and Perplexity. The company competes with Split, Statsig, Optimizely and model tools from AWS, Azure and Google Cloud. Eppo plans to use new funding to bolster marketing, AI experimentation capabilities, enhance analytics offerings and scale go-to-market efforts. It currently has 45 employees and expects to end the year with about 65. The new financing values the company at $138 million post-money and brings total capital raised to $47.5 million. Eppo provides a product experimentation platform that leverages the modern data stack and causal inference techniques to link product changes to business metrics. The platform emphasizes analysis tools that surface confidence intervals and supports live experiments for AI and machine-learning models. Eppo implements CUPED variance reduction to boost statistical power and performs data computation on Snowflake, storing only aggregated, anonymized experiment results to be more privacy-preserving. CEO Che Sharma founded the company based on his experience building experimentation systems at Airbnb and Webflow; Eppo emerged from stealth with new funding. Customers named include Goldbelly, Netlify, Kumu and at least one unnamed Fortune 50 company; Sharma declined to disclose revenue. With the new capital the company plans to grow headcount from 15 to 25 by the end of the year, and a source reported a post-money valuation of $80 million.

Total raised

$48M

Funding rounds

3

Latest round

Series B

Latest activity

Aug 2024