How did we leave it with the lawyer?
Millions of files, understood.
It connects with all your sources, easily: drives, mailboxes, chat platforms, CRMs, issue trackers, SQL databases. Every connection is read-only and sweeps itself on its own schedule. Connect a source once and the knowledge base stays current without anyone tending it.
- Freshness
- Incremental sweeps every 15 minutes; removals leave the index too
- Setup
- Connect, choose access groups, sync. Three clicks per source
- Records
- Databases and CRMs become dated records with exact figures
It already knows what you mean.
Why did that number drop?
What did we promise them?
Just the questions. No document names, no folder paths, no "which quarter do you mean", in whichever chat they land. Your Assistant knows who is asking, what they work on and what happened lately, so "them", "that number" and "the lawyer" resolve the way a colleague would resolve them. How context works →
Same question. Each their own answer.
Renewal is in legal review since Monday . The 12% pricing exception approved in March still applies through Q3 . Quote with it.
Two tickets open: the invoice-import error (fix scheduled this week) and an onboarding question answered yesterday .
One question, two truthful answers. Your Assistant already knows what each person is really asking: who they are, what they work on and what they are cleared to see shape both the answer and its scope. Permissions are read from your own sources and enforced inside every query. Customization & permissions →
Every channel is a doorway.
Your Assistant lives where your team already types: Microsoft Teams, Slack, WhatsApp, Telegram, Viber, SMS, your website, your own software. Every channel, one assistant.
Each person is recognised from their first message. The same identity, the same permissions and the same numbered citations follow them through every doorway, and a guest gets nothing until a group is explicitly opened.
Your data: isolated, unviewable, yours.
One sealed, single-tenant deployment per client, in the cloud or on your premises. Documents never train any model; erasure hard-deletes, index included; every exchange lands on a hash-chained audit log.
The whole record, readableNotes from the build.
Shadow AI: your people are asking someone else about your company
Every paste into a consumer chatbot is a question your own systems could not answer fast enough. Security vendors sell detection, which reads the app and never the question. What the 2026 breach data actually shows, how far Microsoft's new Shadow AI controls really reach, and why the only fix that scales is making the company answerable.
Naxis vs Glean: enterprise platform or private knowledge engine?
Glean is Google for your company: it finds where things are stored. Naxis is the private knowledge engine that knows what is actually true right now. Different machines, different questions, different prices. An honest way to choose, and the Glean alternative for companies of 5 to 200 people.
Why consolidating all your company's data into one system keeps failing, and what to do instead
Lidl wrote off €500 million trying. Birmingham City Council is £144 million in and reinstalling from scratch. Consolidation megaprojects fail for a structural reason: real work is too fluid to hold one shape. The part you actually wanted, one place to ask, never needed the migration.