We build Dataryo because the work that matters is still bound to files, and the files are still scattered.
Every organization we've worked with has the same pattern: the document that matters exists. Someone wrote it, reviewed it, signed it. It sits in a folder.
Then the work happens somewhere else. An email summarizes it. A chat debates it. A report cites it — imprecisely. By the time a question is answered, the chain back to the original is gone.
Dataryo rebuilds that chain. We treat the file as the source of record, put AI inside the storage layer, and make sure every answer and every output carries a thread back to where it came from.
Files are never silently modified. Transformations produce new records. The source is always reachable.
An answer without a source is just a guess. Every output in Dataryo is pinned to the documents it came from.
Bolt-on assistants lose the context the moment you close the tab. Native actions stay with the workspace.
The best tool is one the user forgets they're using. We keep the surface small and the defaults sharp.
Dataryo is a small, remote team. We've shipped infrastructure at Dropbox, retrieval systems at Elastic, and document tools at Atlassian and Notion. We've watched good ideas drown in scattered PDFs and bad search.
We're based in London, New York, and Lisbon. We're backed by investors who've been patient enough to let us build the pipes before the pitch.
If you'd like to work with us, we're hiring engineers who think in systems and designers who think in inventories. Reach out.