Datadog is on a notable acquisition trajectory, having recently acquired Eppo, a feature flagging and experimentation platform, just weeks after securing Metaplane, a startup focused on AI observability. The deal, which remains undisclosed in financial terms, is reported to be valued at approximately $220 million, according to Ustarts Media.
Under the banner of “Eppo by Datadog,” the platform will continue to support its existing customer base while aiming to attract new clients. Eppo is recognised for simplifying the complex infrastructure often required for product analytics, which includes data pipelines and the assessment of statistical methodologies. The platform facilitates app experimentation and aims to provide a clearer understanding of results through “confidence intervals,” allowing businesses to comprehend the effectiveness of their randomized app experiments. It is designed to support AI and machine learning models, enabling live testing that highlights any advantages of one model over another.
Founded by CEO Che Sharma, who drew inspiration from his experiences at Airbnb and Webflow, Eppo has effectively distinguished itself in a competitive landscape filled with startups like Split and Optimizely. Before its acquisition, Eppo secured $47.5 million in funding from various venture capital firms, including Innovation Endeavors and Menlo Ventures. As of mid-2022, Eppo employed around 15 individuals and was valued at approximately $80 million. Its existing clientele included notable names like Goldbelly and Netlify.
Sharma expressed the ambition of Eppo to foster a culture that prioritises rapid experimentation across businesses of all sizes and sectors, stating the acquisition would merge capabilities in product analytics, feature management, AI, and experimentation, helping enterprises mitigate risks and enhance product quality.
For Datadog, the acquisition of Eppo comes at a strategic moment. The company recently announced a net profit that exceeded expectations, though it fell short of revenue forecasts. By integrating Eppo’s features, Datadog aims to enhance its product analytics offerings within a robust sector projected to grow significantly. The global product analytics market, valued at $9.09 billion last year, is anticipated to balloon to $27.01 billion by 2032, as per Fortune Business Insights.
According to Michael Whetten, Datadog’s VP of Product, the incorporation of multiple AI models complicates application deployment in production. Eppo’s experimentation capabilities offer a solution to these challenges, enabling teams to compare various models side-by-side while assessing user engagement relative to cost, ultimately aiming to build AI products that generate tangible value.
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