Voci Technologies

Turn spoken interactions into data you can act on in minutes. Start by wiring your audio sources to Voci Technologies: live telephony streams, meeting platforms, contact center recorders, or cloud storage. Choose streaming for immediate results or batch for backlogs. Send audio to the endpoint you prefer, set language, channel handling, and punctuation, and enable speaker separation or PII masking as needed. Upload domain terms and pronunciations so names and product codes land correctly. Run a small test set, inspect word timings and confidence, then lock in settings for production.

For real-time operations, stream calls as they happen. You’ll receive incremental text with low delay over WebSocket or callbacks, which you can surface in an agent desktop, trigger alerts when phrases appear, or auto-fill CRM fields. Define rules that flag missing disclosures, detect escalation cues, or capture order numbers. Supervisors can watch rolling transcripts to coach in the moment. For events and webinars, feed the stream into your caption pipeline to deliver accurate subtitles and store the final transcript alongside the recording.

For large archives, schedule recurring batch jobs. Point Voci at buckets with daily recordings, and it will parallelize across GPU nodes to process thousands of hours reliably. Results arrive as structured JSON with timestamps, per-channel text, and diarization tags, ready for data lakes, search indexes, or BI tools. Build workflows that stitch transcripts to tickets, create highlight reels based on keywords, and index everything so teams can find the exact moment a commitment was made. Use sampling runs to refine custom lexicons and evaluate accuracy before scaling.

Deploy in the environment that matches your governance needs - hosted, private cloud, or on-prem. Integrate through REST for batch and WebSocket for live use, manage resources with your existing orchestration, and monitor throughput and error rates with standard observability stacks. Control spend by right-sizing audio formats, choosing latency vs. cost profiles, and auto-scaling workers by queue depth. Version models, roll back safely, and set retention policies so transcripts are encrypted and purged on schedule.