Last updated: 25 April 2026
1. What Whistle Enterprise processes
Audio recordings of meetings the user runs on their own computer, whether recorded live or imported. Transcripts produced from those recordings, generated meeting documents and any files exported from those documents.
2. Where files are stored
Recordings, transcripts and generated documents are kept in a local workspace on the user's computer. The workspace can be set to a local drive or a network drive. Exports are written to whatever location the user chooses at export time. There is no synchronisation to any cloud storage.
3. What leaves the device
Nothing. The application makes no external internet connection and does not phone home.
4. Network behaviour
Whistle Enterprise runs entirely without a network connection. Recording, transcription, document generation and exporting all work the same way whether the device is online or offline.
Updates and previous versions are downloaded from the Whistle Enterprise website. There are no automatic updates and no callback to a server.
5. Encryption
The local workspace can be encrypted with a password. When the password is set, all recordings, transcripts and automatically generated documents inside the workspace are encrypted at rest. Without the password, the contents cannot be recovered.
6. Telemetry
Whistle Enterprise sends no telemetry, no analytics events and no usage data. There is no behavioural tracking, no metrics endpoint and no background error reporting.
A user can send a diagnostic file by email. The file contains only technical state, not the contents of recordings, transcriptions or generated documents. Sending it is always a manual action by the user.
7. AI models
The writing model is a custom AI model from BlazingBanana Ltd, built for meeting document generation and designed to run on a normal laptop CPU. The transcription model is a published speech recognition model selected for accuracy and offline operation. Both models are bundled with the installer. Neither is loaded from a remote service at runtime.
Content recorded, transcribed or generated by Whistle Enterprise is not used to train any model.
Questions or corrections
Anything missing from these notes, or wrong, can be flagged to [email protected]. Every message is read by a human and we aim to reply within two working days.