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The Core Problem Call centres, BPOs, sales CRM teams, and healthcare providers generate thousands of hours of audio that remain unstructured and unsearchable. Extracting actionable insights, QA scoring, and compliance checking manually is expensive and inefficient.The Solution Ascolto AI is an enterprise-grade platform that takes unstructured audio and makes it searchable, analysable, and actionable using a highly sophisticated Retrieval-Augmented Generation (RAG) pipeline.Key Features:Multilingual audio call transcription (English & Italian, expandable).Conversational Q&A over call history with bilingual responses and citations.Vector embedding & semantic search.Deterministic call ranking & scoring.Text segment classification (identifying problems & barriers).Structured JSON output for downstream systems.Technology Stack & Architecture: The architecture is built for asynchronous enterprise workloads. It handles heavy audio files (up to 200MB) without timing out the frontend.Frontend: Streamlit / ReactData Ingestion: Message Broker (Kafka/RabbitMQ), Async Audio Workers (Celery), Cloud Object Storage (Azure Blob / S3)AI: OpenAI Whisper, PII Redaction Engine, Azure OpenAI GPT-4o & text-embedding-3Storage: Vector Database (Pinecone/Milvus/Chroma) and Relational DB (PostgreSQL)
Comments (7)
Gong and Chorus already dominate. What's the pricing model?
how accurate is the transcription with bad phone audio tho
wonder if it catches sarcasm or just literal keywords
does the transcription actually work on calls with heavy accents?
does it handle overlapping speakers or just single voice recordings
gong and chorus already own this market
Does it handle multiple languages or just english?
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