Voice agentsVoice Agents
Phone assistants that book, qualify and answer correctly — for reception, support or lead qualification — and hand over cleanly the moment they should not be handling it.
Connect → Ground → Escalate
DetailsDiscuss this
Speech-to-Text & Transcription Pipelines
Meetings, calls and media turned into accurate, searchable, speaker-attributed text at volume.
- Time to value
- Processing your archive within 2–3 weeks.
- Deployment
- Can run fully on your infrastructure
- Category
- Conversational & Voice AI
The manual version of thisInvictt AI layer
Ingest at volume
Transcribe and diarise
Structure
Make it searchable
Once it's AI-assisted01/The problem
Recordings are write-only storage. Nobody re-listens to a fifty-minute call to find the one commitment that was made inside it, so the commitment is effectively lost the moment the call ends.
02/How it works
The operating model
What enters, what the system does with it, and what reaches you.
Input
Ingest at volume
Batch or streaming, from your recording platform, telephony, or an archive of files nobody has opened in years.
System
Transcribe and diarise
Word-level timestamps with speaker separation, plus a custom vocabulary for the product names and jargon that generic models reliably mangle.
System
Structure
Summaries, decisions, action items and follow-ups extracted as fields, not as a wall of prose you still have to read.
Outcome
Make it searchable
Full-text and semantic search across the whole archive, with playback that jumps to the exact second.
Read the detail behind each stage
01
Ingest at volume
Batch or streaming, from your recording platform, telephony, or an archive of files nobody has opened in years.
02
Transcribe and diarise
Word-level timestamps with speaker separation, plus a custom vocabulary for the product names and jargon that generic models reliably mangle.
03
Structure
Summaries, decisions, action items and follow-ups extracted as fields, not as a wall of prose you still have to read.
04
Make it searchable
Full-text and semantic search across the whole archive, with playback that jumps to the exact second.
03/What's included
What you actually receive
Concrete deliverables, not a statement of intent.
Batch and streaming ingestion from your recording sources
Word-level timestamps with speaker diarisation
Custom vocabulary for domain terms and product names
Structured extraction of decisions, actions and follow-ups
Searchable archive with timestamp-linked playback
On-prem GPU deployment option for confidential recordings
Built with
- Whisper
- WhisperX
- Diarization
- GPU batch inference
- OpenSearch
Tooling is chosen per engagement. This is what this kind of build typically uses, not a fixed stack we sell.
04/Also in this category
Conversational & Voice AI
An agent that gets the substance right, and hands over cleanly.
ListenUnderstandRespond
Voice agents
Text-to-speechText-to-Speech & Voice Integrations
A consistent, branded voice across IVR, product and content — generated rather than re-recorded every time the copy changes.
Establish the voice → Pipeline it → Deliver
DetailsDiscuss this
Is this the problem you have?
Tell us what it looks like at your end. We will say honestly whether this is the right fit — including when it is not.