
Behind every AI product, there's a team that chose to own their stack
From inference to deployment, the DigitalOcean AI-Native Cloud is open at every layer with predictable economics

Introducing DigitalOcean Agent Data Services (Private Preview)
Agent Data Services is a fully managed data layer for agents. Agents read the context they need from it and write back what they learn. New data is transcribed, indexed, and cataloged as it arrives, with no pipeline infrastructure to run. Query via SQL, vector search, or APIs from an isolated catalog with governance built in.
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“With the hyperscalers, we'd probably still be waiting in a queue.”
- Oscar Wu, AI Research Scientist and Founder Workato AI Research Lab

“As we scaled, Inference Router became a key part of our architecture. We’ve been able to reduce inference costs by over 40%, while maintaining the accuracy, speed, and reliability our users expect.”
- Hovsep Seraydarian, Co-founder & CTO, LawVo

“We were looking for a provider like DigitalOcean, which had availability but also reliability at scale.”
- Sean Zhao, Co-Founder, ACE Studio
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Traversal is tackling one of observability’s hardest challenges: cutting through noisy data to understand why issues happen and how to fix them—reducing downtime and stress for engineers.
Products used:

Hippocratic AI builds generative AI agents that call patients, walk them through post-surgery recovery plans, check in on chronic disease management, and help close care gaps that would otherwise fall through the cracks.
Products used:

Consumable is a fast-growing adtech company that creates unique advertising experiences across audio, video, mobile, and web. With a real-time platform handling up to one million queries per second at peak times, performance, scalability, and simplicity are mission-critical.

NoBid, an ad-tech startup founded in 2019, connects publishers and advertisers through an advanced auction optimization platform —running about 200 billion auctions per month (that’s 100,000 per second).
Products used:

RadixArk builds an open-source AI infrastructure layer so teams can run frontier models at scale without building it themselves.
Products used:

Probably is building a new kind of AI agent, one designed for a world where users need to trust that the AI outputs are reliable enough to drive critical decisions.
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“It's been a huge force-multiplier for our team, it gets the right ticket to the right person without anyone having to watch every thread themselves.”
- Murad Mordukhay, CEO and co-founder, Qencode
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