The AI layer
Processing models applied to historical message streams.
Automate extraction, noise reduction, and message drafting directly inside the pipeline.
INTELLIGENCE LAYER
Processing models applied to historical message streams.
Automate extraction, noise reduction, and message drafting directly inside the pipeline.
Thread synthesis
Condense extended operational exchanges into structured summaries.
Spam quarantine
Isolate hostile solicitations before they reach operator queues.
Noise isolation
Route automated notifications and broadcast traffic to quiet streams.
Contextual drafts
Generate responses based on past terms agreed with that counterparty.
Text prediction
Predict complete sentences using historical communication patterns.
Audio transcription
Transcribe incoming voice memos into punctuated text immediately.
Visual recognition
Index serial numbers and invoices inside image attachments.
Voice preservation
Translate text while retaining the operator's style and structure.
Commitment audit
Extract deadlines and promised deliverables mentioned by any party.
Data extraction
Convert quantities, prices, and dates into structured tabular records.
Tone warning
Flag drafts that could read as abrupt to specific counterparties.
Automatic routing
Assign incoming conversations to the appropriate operator automatically.
STYLE ADAPTATION
Private drafting models trained on individual operator history.
Reduce message composition time without losing the individual operator's established rapport.
Operator historical message
ok give me an hour, im still at the bourse
ill send the cert when im back at the desk
Sent by Adam · 4 March, 08:41
PersonaLearn suggested draft
modelok give me an hour, im on the floor til 10
ill send the cert the moment im back at the desk
Drafted for Adam · today, 09:12
Lowercase, no apostrophes, one comma at most. The model learned that, not a style setting.
PersonaLearn isolates an operator's outbound message record to map vocabulary, punctuation, and structural habits. It generates contextual drafts that match how that specific individual communicates with specific counterparties. Operators review and approve drafts with a single keystroke before transmission.
- 01
Ingest record
Index the operator's sent message history to construct a private baseline model.
- 02
Map relationship
Track variations in formality and phrasing across individual counterparties.
- 03
Draft response
Produce accurate drafts for operator review upon receipt of incoming messages.
Drafts are never transmitted without manual operator approval, and private models are never used to train shared systems.