A decade of documents — and the data inside them — searchable by meaning.
The data layer of the governed platform: your manuals, emails, invoices, drawings, and photos come in from every source, get classified against a governed taxonomy, and become searchable by meaning, by exact words, and by what’s actually in a picture. Every answer links to the exact source — which opens right beside it — and your content never leaves our infrastructure to be processed.
A plain-language question surfaces the right passage, photo, or drawing — with the source right beside the answer.
Bring every document and data source into one governed corpus — ingested, classified, understood, searchable by meaning, and governed end to end.
Every document in the corpus classified against a governed taxonomy — coverage tracked by type, the classifier version kept on the record, nothing left pending review.
The actual Data workspace, screen by screen.
Not mockups — the real product surfaces, every agent, record, and governed action on one system. Click any frame to see it full size.
Your whole library, understood at a glance
AI ingests and classifies every document the moment it lands under the limits you set — analyzed, typed, and accounted for on one overview — while anything consequential stops for a person and every action is written to a tamper-evident, SHA-256 hash-chained record.
See the corpus at a glance: what came in and when, how it breaks down by type, and how much has been analyzed — so nothing sits unaccounted for.
One library, every source, no migration
AI brings documents in from every source — uploads and email attachments alike — and keeps them mirrored under the limits you set, while anything consequential stops for a person and every file’s arrival lands on a tamper-evident, SHA-256 hash-chained record.
Filter the whole corpus by type, status, extension, or source, and grant access once at the folder or site level so everything inside inherits it — search stays instant even on a massive library.
Ask in plain language; the answer cites its source
AI answers a plain-language question across the whole library under the limits you set — fusing meaning, exact words, and what a photo or drawing actually shows onto one relevance scale — and every result links to the exact source, which opens right beside it on a tamper-evident, SHA-256 hash-chained record.
Switch between smart, keyword, and meaning-based matching, narrow thousands of hits to the few that matter with faceted filters, and hand an AI assistant the exact passage and citation to answer from.
Classified to govern; nothing changes without review
AI classifies every document against your governed taxonomy under the limits you set, but anything that would reshape the taxonomy itself stops for a person — changes are staged in a draft and applied only on review-and-publish, with every version kept on a tamper-evident, SHA-256 hash-chained record.
Manage parent types, subtypes, and synonyms, keep the classifier version on every record, and track coverage across the corpus — so your data is organized to govern, not just stored.
Hand the routine to AI, keep the decisions
AI assistants take on the routine document work under the limits you set — processing what comes in, extracting structured intelligence, summarizing across the corpus — while anything consequential stops for a person and every task they run is written to a tamper-evident, SHA-256 hash-chained record.
Delegate a task from a template — process pending uploads, verify a document is searchable, or compare guidance across your own documents — and review what the assistant did before it counts.
Ingestion, classification, and search all run inside your organization’s boundary, on our own hardware, and every answer traces back to its source.
For anyone who needs answers out of a decade of documents — and the data inside them. It runs on the same governed platform as everything else — one permission model, one verifiable record, and the same agents acting under the limits you set. Part of one governed platform: start with Data and add the rest when you’re ready, with nothing to re-integrate or re-secure.
See Data on your own work.
Bring a real example and we’ll walk it through Data — under the same controls you’d run in production.