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Home Artificial Intelligence

Datadog Acquires Adaptive ML to Accelerate Its Investment in AI Research and Development

July 1, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 7 mins read
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NEW YORK, Ju e 30, 2026 (GLOBE NEWSWIRE) — Datadog, I c. (NASDAQ: DDOG), the leadi g AI-powe ed obse vability a d secu ity platfo m, today a ou ced it has acqui ed Adaptive ML, a f o tie AI sta tup developi g the wo ld’s fi st Rei fo ceme t Lea i g Ope atio s (RLOps) platfo m, e abli g e te p ises to build, ow , a d deploy thei ow specialized age ts a d models.

Adaptive ML will joi Datadog AI Resea ch, accele ati g Datadog’s i vestme t a d esea ch effo ts a ou d wo ld models a d age tic LLM post-t ai i g fo obse vability. Datadog AI Resea ch focuses o fu dame tal tech ical p oblems a d collabo ates with Datadog’s p oduct a d e gi ee i g teams to t a slate esea ch adva ces i to p oducts.

“We sta ted Adaptive to give eve y e te p ise the ability to pe petually imp ove its ow AI. The missi g piece was eve the algo ithm, the ha dest pa t was p oductio scale. With Datadog, a d the co ti uous st eam of eal-wo ld sig als that o ly a platfo m ope ati g at this u ique each ca p ovide, we will wo k di ectly f om the fou datio that i tellige t age ts eed to d ive expo e tial p oductivity gai s, eliably a d co siste tly. With Datadog’s u matched access to eal-wo ld i f ast uctu e, we ca accele ate towa ds co ti uous i tellige ce,” said Julie Lau ay, co-fou de a d CEO, Adaptive ML.

“Ou lab is focused o leve agi g ou data a d domai expe tise to build specialized age ts a d models, a d to effectively tu ou data i to fi st-pa ty i tellige ce. As we co ti ue to bolste ou R&D effo ts a d bette se ve ou custome s, b i gi g Adaptive ML o boa d is a atu al fit to e ha ce a d augme t the wo k we a e al eady doi g withi ou lab,” said Ameet Talwalka , Datadog’s Chief Scie tist.

As AI co ti ues to i te sify the level of complexity softwa e systems a e faci g o a daily basis, Datadog has i vested ove $1B i R&D a ually — sig ifica tly co t ibuti g to the e d-to-e d obse vability a d secu ity solutio s it has delive ed to custome s. Rece tly, that i cludes esea ch i itiatives like Toto 2.0, as well as p oducts like Bits I vestigatio , Bits Code, a d Bits Secu ity A alyst, which have al eady co ducted hu d eds of thousa ds of i vestigatio s o behalf of custome s.

About DatadogDatadog is the leadi g obse vability a d secu ity platfo m fo the AI e a, p ovidi g busi esses with u ified visibility ac oss the tech ology stack to ma age complexity at scale. It b i gs applicatio s, i f ast uctu e, data, models, a d secu ity i to o e place, usi g AI to detect a d esolve issues befo e they impact custome s. T usted globally by Fo tu e 500 compa ies a d high-g owth AI leade s, Datadog e ables busi esses to move faste with cla ity a d co fide ce.

Fo wa d-Looki g Stateme tsThis p ess elease may i clude ce tai “fo wa d-looki g stateme ts” withi the mea i g of Sectio 27A of the Secu ities Act of 1933, as ame ded, o the Secu ities Act, a d Sectio 21E of the Secu ities Excha ge Act of 1934, as ame ded i cludi g stateme ts o the be efits of ew p oducts a d featu es. These fo wa d-looki g stateme ts eflect ou cu e t views about ou pla s, i te tio s, expectatio s, st ategies a d p ospects, which a e based o the i fo matio cu e tly available to us a d o assumptio s we have made. Actual esults may diffe mate ially f om those desc ibed i the fo wa d-looki g stateme ts a d a e subject to a va iety of assumptio s, u ce tai ties, isks a d facto s that a e beyo d ou co t ol, i cludi g those isks detailed u de the captio “Risk Facto s” a d elsewhe e i ou Secu ities a d Excha ge Commissio fili gs a d epo ts, i cludi g the Qua te ly Repo t o Fo m 10-Q filed with the Secu ities a d Excha ge Commissio o May 7, 2026, as well as futu e fili gs a d epo ts by us. Except as equi ed by law, we u de take o duty o obligatio to update a y fo wa d-looki g stateme ts co tai ed i this elease as a esult of ew i fo matio , futu e eve ts, cha ges i expectatio s o othe wise.

Co tactp ess@datadoghq.com

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