Prototype Demo Simulating Faster-Whisper large-v3 speech recognition on Modal serverless GPU cluster.
B2B Workflow Prototype Backend: python/audio_claims_transcriber.py

Multimodal Audio Claims & Intake Intelligence

Convert audio call recordings into timestamped speaker transcripts, redact PII, and extract structured JSON claims in seconds.

Audio Ingestion

00:24 / 02:08 Stereo 44.1kHz
ASR Engine: Faster-Whisper (large-v3)
Diarization: PyAnnote 3.1 Speaker Attribution
PII Masking: Automated Redaction Enabled

Structured Claim Triage Record

Diarized Transcript (PII-Masked) 18.4x Real-Time Inference

Need real-time voice triage for claims or clinical intakes?

We build dedicated high-throughput audio pipelines with zero audio data retention and custom CRM/EHR integrations.

Book Voice Pipeline Review →