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Shelby is cloud storage built for the way AI actually uses data. Like S3, but global by default, cheaper to read from, configurable to your infrastructure, and with built-in proof of what was used, when, and by whom. Existing storage was built for a different era. Data was written in one region and read there too. That's not how AI works. A model trains on data stored in one region. It's queried in Singapore, Mumbai, São Paulo. The data doesn't move - but every read does, across regions, across providers. AI reads 5 to 10 times more than it writes. At that ratio, every cross-region read carries an egress charge - meaning that egress alone becomes the largest line item on your infrastructure stack before you've even shipped anything. Some have tackled the cost. Some have tackled the geography. Nobody has built a layer that's economical, globally available, and cryptographically verifiable - at the same time. And that third part isn't a nice-to-have anymore. Rights holders are litigating. Regulators are circling. Shelby is object storage built for all three. - One global namespace - write once, read from any region at network speed - Cryptographic proof across the full AI data pipeline - ~70% lower cost than hyperscalers, 100 Gbps+ throughput, no egress tax - S3-compatible APIs. Simple migration. Built by the teams who scaled Meta and Jump's HPC-grade storage stack. Early Access is now open at shelby.xyz Store globally. Move economically. Verify everything.

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The Shelby annual revenue was $8.3 million in 2026.

16 people are employed at Shelby.

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