At Eppo by Datadog, we envision a future where every product decision is backed by rigorous, data-driven experimentation that directly accelerates business outcomes. We are committed to transforming how companies connect product innovation to measurable impact, empowering teams to learn faster and deliver safer, smarter features.
Our platform harnesses advanced statistical methodologies and seamless integration with data ecosystems to enable precise, real-time evaluation of product changes. By bridging feature flagging with experimentation management, we are building a new paradigm of collaboration among engineering, data science, and business teams.
As part of Datadog, we are accelerating the evolution of experimental design into an observability-native discipline, scaling innovation velocity for tens of thousands of organizations worldwide. Our mission is to establish experimentation as the cornerstone of product excellence and strategic growth in an increasingly complex digital landscape.
Our Review
When we first heard about Datadog's $220 million acquisition of Eppo in early 2025, our immediate thought was: "Finally, someone gets it." Too many companies treat feature flags and A/B testing like separate universes, when they should be working hand-in-hand to drive real business outcomes.
Eppo caught our attention because they've built something that feels genuinely different in the experimentation space. Instead of just throwing features at the wall and hoping they stick, they've created a platform that connects every product change directly to metrics that actually matter—like revenue.
What Makes This Integration Brilliant
The Datadog acquisition isn't just about buying a cool feature flagging tool. It's about creating something we haven't seen before: true end-to-end visibility from code deployment to business impact.
What excites us most is how this solves the classic "data silo" problem. Previously, your engineering team would deploy with feature flags, your product team would run experiments in another tool, and your data scientists would analyze results in yet another platform. Now everything lives under one roof, which means faster decisions and fewer headaches.
The Statistical Rigor That Actually Matters
We've seen too many "experimentation" platforms that are basically glorified coin-flip generators. Eppo's approach to statistical rigor caught our eye because it integrates directly with your data warehouse—meaning the analysis happens where your real data lives, not in some isolated testing sandbox.
This matters especially for AI workloads, where continuous evaluation and canary testing can make or break product launches. The platform doesn't just tell you if something worked; it helps you understand why and how to do it better next time.
Who This Really Works For
Here's what impressed us: Eppo serves everyone from 20-person startups to Fortune 10 companies, and they do it well. That's not easy to pull off in the experimentation space, where enterprise needs often clash with startup agility.
We think this platform shines brightest for teams that want to move fast without breaking things. If you're the type of organization that believes every product decision should be backed by data (not just gut feelings), this combination of Datadog's monitoring muscle and Eppo's experimentation DNA could be exactly what you need.
Features
Feature flagging and experimentation management unified on a single platform
World-class statistical rigor for A/B and multivariate testing
Integration with data warehouses for real-time metric impact measurement
Support for controlled rollouts including canary tests
Continuous evaluation of AI models in production
FAQs
Ploy was founded in 2024.
Run reliably informative A/B experiments. Built for today's product teams and the modern data stack. There have been recent reports of fraudulent emails from people impersonating the Eppo talent team. All legitimate correspondence from Eppo will come only from geteppo.com. Anything else should be reported to LinkedIn as a scam. For more information on these fake job scams, you can see this resource from the FTC: https://consumer.ftc.gov/consumer-alerts/2023/08/scammers-impersonate-well-known-companies-recruit-fake-jobs-linkedin-and-other-job-platforms
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