your models can reach less than a tenth of the data you own. the rest is trapped across clouds, on-prem, and edge — too costly to move, too slow to use. initiatives die at the proof-of-concept stage.
three buyers, three fires. each one is looking for something onebucket already does.
every initiative needs data the model can't reach. you can't explain why the company can't use the data it already owns.
serving ai workloads keeps meaning moving petabytes into a new system. every copy is cost, risk, and one more thing to secure.
data is fragmented across regions and regulators. any movement creates a sovereignty problem and an audit trail you can't produce.
built on the Adaptive Data Fabric™ — location-independent access to unstructured data through native mcp and s3, with no copying and no rearchitecting.
native mcp and s3 interfaces reach every cloud, on-prem, and edge source — no application changes.
policy-driven placement and adaptive movement put data in the right place at the right time, automatically.
intelligent caching and replication make distributed data feel local, at hyperscale.
treat all data as local. train, test, and deploy faster — without rearchitecting workflows or duplicating data.
rivet industries builds ruggedized ai field systems. their ai development was choked by a data bottleneck: distributed teams, data across clouds, compute in a separate gpu cloud. onebucket removed it.
"attimis fundamentally changed how our teams access and protect data. what used to slow us down is now seamless. our engineers are more productive, our gpu investment is fully utilized, and our customers know their data is secure." — rivet industries
results from rivet industries deployment. full case study available under solutions.
unopinionated on platforms, layouts, and storage systems. onebucket is the conduit between every system, so you reach your data whenever and wherever you need it.
see how onebucket gives your ai access to all of your data — not just the <10% it can reach today.
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