Case Study OmniVoice AI – Real-Time Multilingual Speech-to-Action Agent (USA)

Project Overview

Ultra-low latency conversational AI voice system developed for emergency dispatch and medical triage with 99.2% intent recognition accuracy across 14 languages.

Client & Location

CareLine Telephony Systems Inc.
Location: Denver, Colorado, USA
Industry: Healthcare & Emergency Response

Challenges

• High volume of concurrent emergency calls during peak hours causing hold times.
• Callers speaking under distress with background sirens, accents, and varying dialects.
• Sub-500 millisecond response time required for conversational naturalness.

Solution

Trained fine-tuned Whisper acoustic models integrated with WebRTC streaming audio pipes and an orchestration layer connecting live dispatch databases.

Technologies Used

• OpenAI Whisper & Cartesia Ultra-Fast TTS
• WebRTC & LiveKit Streaming Infrastructure
• FastAPI & Asyncio Event Loops
• Redis Queue Buffering & Prometheus Monitoring

Results & Business Impact

• Reduced emergency triage wait times from 4.5 minutes to under 12 seconds.
• Maintained 99.2% intent comprehension accuracy across 14 global languages.
• Scaled to 10,000 concurrent calls with zero server degradation.