Clean a document before you share it.
Open a PDF, review what BeeSensible found, and redact it for good. Then share it or hand it to AI for analysis, with the names, IBANs and BSNs gone.
PII is found automatically
Open a document and Bombus detects names, addresses, IBANs, BSNs and 65 data types without any setup. Everything found appears in the list on the right.
You decide what gets removed
Every item is selected by default. Uncheck anything that should stay in. When you confirm, only the selected items are permanently redacted from the file.
Draw a box for anything else
Logo, signature, or something the engine missed? Draw a box over it by hand and that area is masked too. Manual and automatic detections are redacted together.
The method
The same four steps, now for documents.
Every BeeSensible module follows this cycle. Here is what it looks like for the documents your organisation shares.
What leaves your documents
The insights show how many documents were anonymised and which data types appeared in them most often.
Which data has to go
The detection profile decides what a document is searched for. While anonymising, you choose yourself what stays.
Clean before you share
Open a PDF, review what was found, draw a box over anything detection missed, and export a clean copy. Hidden document properties are stripped too.
What you can show for it
Anonymised documents and removed data over a period, as substantiation of data minimisation.
and again How the cycle works
Bombus, our best engine yet.
Since July 2026, Bombus 2.1 is the standard engine behind BeeSensible, on-device and in the EU cloud alike. A smart combination of fast AI techniques and hard rules, working as one judgement. It builds on Osmia 3.3, our earlier detection engine, and reads sharper: higher recall and stronger on structured data like IBANs and medical codes. On our internal benchmark it scores roughly 96% F1, across all 65 data types, in Dutch and English.
How it works
The safe way to let AI read a sensitive document.
AI is good at summarising and analysing documents, but a contract or a patient file should not go in as-is. Redact it first, then upload the clean copy. The original details never reach the AI tool.
Review before anything is removed
BeeSensible finds names, IBANs, BSNs and dozens of other types across 65 data types, and groups them by category. Check the list, uncheck anything that should stay, and draw a box by hand over anything it missed.
Gone for good
Redaction is permanent. The values are removed from the file itself, and hidden document properties are stripped too, so nothing leaks through the metadata.
On your own device
In on-device mode the document is processed on the machine itself. It never has to leave to be cleaned, which makes it safe to hand the clean copy to AI.
Built for the documents you actually share.
Contracts and legal
Take names, case numbers and addresses out of a contract before it goes to a counterparty, or before a chatbot summarises it.
Patient and care files
Strip patient names, BSNs and medical details so a file can be analysed without exposing the person behind it.
HR and finance
Salary data, IBANs and employee IDs removed before a document leaves the team or gets pasted into an AI tool.
See what came out of your documents.
The insights add up what the module delivered: how many documents were anonymised, how much sensitive data was removed from them, and which data types appeared most often. Aggregated per organisation, never per person. Switch department insights on and you see it per department too, with a floor so a single person can never be read from it.
Redact your first document in a minute.
Open a PDF in the desktop app or drag it into the extension's side panel, review what is found, and produce a clean copy you can share.