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.
Strategic Context & How To Use:
Enterprise audio ingestion and claims intelligence architecture demonstration utilizing GPU-accelerated Whisper transcription and entity extraction. Analyzes conversational audio streams to structure recorded policyholder statements, identify damage timeline claims, and generate settlement summaries.
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.