Loading...
How ready is your AI for production? Score it in minutes. Take the assessment
Loading...
Capture voice across meetings, consultations and field visits, transcribe it on-prem, and get speaker-identified, timeline-indexed, keyword-tagged records. Privacy by architecture, not by policy.
3 to 5m room capture
On-prem transcription
Multi-language
In local mode, audio never leaves your environment. Upload text only, or nothing at all.
Speaker-identified, timeline-indexed transcripts you can search, filter and audit.
Auto-tag the moments that matter, from compliance phrases to service gaps, in real time.
One pipeline, tuned to how each team actually works.
Auto-archive every session with speaker labels and searchable transcripts, so nothing is lost and nobody takes notes.
Microphone arrays pick up clear audio across a 3 to 5m room, with speaker separation.
Speech-to-text runs on a local edge box. No cloud round-trip required.
Centralized search, tagging and export across every recording and every site.
Microphone arrays pick up multi-speaker audio at the edge, 3 to 5m range.
Local or cloud speech-to-text turns audio into speaker-tagged, multi-language text.
Text is indexed, keyword-tagged and archived for search, audit and export.
Voice collection and analysis on our edge and offline-AI stack: microphone arrays for capture, on-prem speech-to-text and analysis, with a flexible choice of local or cloud. In local mode, audio never leaves the deployment environment, so what is said can be archived and audited without ever exposing the recording. It syncs automatically when reconnected, so field teams keep working offline. Grounded in the same ISO/IEC 27001 controls we run everywhere. The pipeline is proven; your build starts at integration, not at zero.
US · Muscat · Bangalore · Puttur, ISO 13485:2016 · ISO 27001:2013 · ISO 9001:2015
© Copyright 2026 - LogicHive