Insight
Batch + stream
Processing modes. Real-time or post-call depending on use case.
Use case
Speech-to-text transcription
Radiantze turns contact-center audio into searchable transcripts with speaker labels and compliance controls.
Make every call searchable and analyzable
Radiantze integrates speech-to-text into the post-call pipeline, producing searchable transcripts with speaker labels, confidence scores, and hooks for downstream tagging.
Domain vocabulary, PII redaction, and CRM or QA integration make transcripts useful for coaching and compliance reviews, not a standalone archive nobody opens.
Insight
Domain tuned
Vocabulary. Custom terms for products, policies, and acronyms.
Insight
PII-aware
Compliance. Redaction and retention rules applied to transcripts.
Partnership
Radiantze rollout pattern
Transcription value appears when transcripts connect to QA, analytics, and agent coaching workflows.
- Sample calls across accents, channels, and noise conditions.
- Evaluate accuracy against human transcripts on a holdout set.
- Integrate with CRM or QA platform for search and review.
- Pilot with supervisors on flagged calls only.
Outcome
Enterprise outcome
Supervisors review more calls in less time and spot coaching opportunities from searchable conversation data.
Radiantze capability stack
Transcription engine
Batch or streaming ASR with domain vocabulary for products, policies, and team acronyms.
Speaker diarization
Agent versus customer segments labeled so supervisors can review the right side of the call.
Search & QA hooks
Keywords, topics, and sentiment tags on transcripts for coaching and quality review queues.