Datadog has acquired Eppo, a feature flagging and experimentation platform, which will tightly integrate with Datadog's existing Product Analytics suite.
With its acquisition of Eppo, Datadog creates a full end-to-end product analytics solution on one platform. This unified approach means that engineers can track code changes with feature flags, data science leaders together with product managers can design and measure impact with experiments, and business analysts can use Datadog’s Product Analytics suite to understand overall product usage and business outcomes.
As AI workloads grow, Eppo’s experimentation capabilities help developers safely scale complex systems. These capabilities can measure the impact to the overall user experience in real time and accelerate the safe roll-out of changes, ultimately creating a more agile and trustworthy development workflow.
“The use of multiple AI models increases the complexity of deploying applications in production. This complexity makes it difficult for developers to quantify the business impact of different models, agent behaviors, prompts or UI changes,” said Michael Whetten, VP of Product at Datadog. “Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost tradeoffs and ultimately build AI products that deliver measurable value."
“Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage and industry,” said Chetan Sharma, founder and CEO of Eppo. “With Datadog, we are uniting product analytics, feature management, AI and experimentation capabilities for businesses to reduce risk, learn quickly and ship high-quality products.”
Eppo will continue supporting existing customers and bringing on new customers as part of Eppo by Datadog.
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