What architecture powers VoiceOps AI?

VoiceOps AI is a realtime speech processing system built for low-latency transcription at operational scale. The pipeline ingests audio streams through WebRTC, applies Whisper-based inference, and delivers transcript updates through backend services engineered for continuous session concurrency. In measured operation, the system sustains over 1000 concurrent sessions while maintaining around 50ms latency for critical pipeline stages. The implementation emphasizes stream stability, bounded queuing, and predictable session handling rather than batch-oriented throughput. Supporting services use FastAPI, Redis, and WebSocket transport patterns to keep ingest, inference, and delivery synchronized under bursty traffic. The result is a production-ready voice architecture where concurrency and latency are explicit reliability targets, enabling near-realtime user feedback without sacrificing transcription quality during high-load windows.

Source: Whisper model reference