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Datadog is on an skill fling . Just a few week after snatch up Metaplane , an AI - power observability inauguration , the cloud monitoring and security party hasacquiredEppo , a feature - flagging and experimentation program .
Eppo will retain supporting existing client and bringing on novel ones under the brand “ Eppo by Datadog . ” Terms of the mountain were n’t disclosed , but areport last weekfrom Upstarts Media indicate Datadog was planning to give $ 220 million .
Despite the demand for shaft that have developers try out with unlike versions of apps , the infrastructure required for product analytics stay comparatively complex to build . Beyond data pipelines and statistical methods , experiment base relies on analytics workflow often sourced from hard - to - configure cloud environment .
In an interview two years ago , Eppo co - father and CEO Che Sharma tell TechCrunch that Eppo was exhort by his experience building experimentation software as a data scientist at Airbnb and Webflow , a website builder .
Eppo offers what Sharma calls “ confidence intervals ” to make it easier to sympathize and interpret the results of a randomize app experiment . The platform supports experimentation with AI and machine learning model , leverage techniques to do live experimentation that show whether one model is outgo another .
While spate of startups have emerge in recent years to abstract away the app experimentation infrastructure , includingSplit , Statsig , andOptimizely , Eppo has managed to stand out in the crowded area . The San Francisco , California - based company kick upstairs $ 47.5 million from VC firms , including Innovation Endeavors , Menlo Ventures , and Amplify Partners prior to its exit , agree to Crunchbase .
Eppo had around 15 employees as of June 2022 , when the inauguration was valued at $ 80 million . Back then , Eppo ’s customer nucleotide included Goldbelly , Netlify , and Kumu , among others .
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“ Eppo wants to work a high-pitched velocity , experiment - first civilisation to company of every sizing , stage , and industry , ” Sharma said in a insistency acquittance . “ With Datadog , we are unite mathematical product analytics , characteristic direction , AI , and experiment capableness for business to reduce risk , learn rapidly , and ship high - calibre production . ”
For Datadog , whichrecently account a better - than - wait net profitbut a revenue prognosis that fell below what analysts expected , the Eppo bargain could pad the caller ’s current intersection analytics solution . The sphere is a large and healthy one . consort to Fortune Business Insights , the global market for product analytics was worth $ 9.09 billion last year and could hit $ 27.01 billion by 2032 .
“ The use of multiple AI models increases the complexity of deploying applications in production , ” Michael Whetten , VP of Product at Datadog , said in a assertion . “ Experimentation solves this correlation and measurement job , enable teams to compare multiple models side - by - side , determine substance abuser mesh against price tradeoffs , and in the end build AI mathematical product that deliver measurable value . ”
