Eppo, a product experimentation platform, raises $19.5M for expansion

Despite the demand for platforms that let developers experiment with different versions of apps, the infrastructure required remains relatively complex to build. Beyond data pipelines and statistical methods, and experimentation infrastructure relies on analytical workflows often sourced from difficult-to-configure cloud environments.

Plenty of startups have emerged in recent years to abstract away the app experimentation infrastructure, including Split, Statsig, and Optimizely. A more recent arrival is Eppo, which today emerged from stealth with $19.5 million including a $16 Series A Menlo Ventures and a $3.5 million seed round led by Amplify Partners.

According to CEO Che Sharma, Eppo was inspired by his experiences building experimentation platforms as an early data scientist at Airbnb and Webflow, a website builder. “Nothing in the commercial landscape provided the power of experimentation systems like Airbnb, which meant building the same system over and over,” he told TechCrunch via email. “I built Eppo to leverage the modern data stack and the latest in causal inference literature, allowing companies to tie product team efforts to business metrics like revenue, with boosted statistical power.”

Sharma concedes that the app experimentation space is becoming congested, if not saturated, with competitors. But he says that Eppo is differentiated by its analysis tools, which use confidence intervals to make it ostensibly easier to understand and interpret the results of a randomized experiment. Eppo also supports experimentation with AI and machine learning models, leveraging techniques to perform live experiments that show whether one model is outperforming another.

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