Case Studies/

Voice AI · In Production

CAIDEN

A Voice AI receptionist handling inbound calls for small business clients. Answers questions, qualifies leads, routes to humans when needed.

Visit site

The problem

Small businesses miss 40-60% of inbound calls. The ones they answer are often during client meetings, deep work, or after hours. Hiring a full-time receptionist costs $35-50K/year — out of reach for most. Existing IVR systems frustrate callers. The market needed a production-grade voice AI that sounds natural, understands context, and actually converts calls to revenue.

What we built

CAIDEN is built on LiveKit for real-time audio streaming, Deepgram for speech-to-text, ElevenLabs for natural text-to-speech, and a custom orchestration layer that manages the conversation state machine. The system handles call answering and qualification, question answering from a business knowledge base, lead routing to the right human, and appointment scheduling. Deployed on Fly.io for global edge distribution with sub-500ms response times.

Results

  • Handles 1,000+ calls/month for active clients
  • Sub-500ms response latency on voice interactions
  • Deployed across real estate, healthcare, and service businesses
  • Production since 2024 — zero critical incidents

Tech stack

LiveKitDeepgramElevenLabsFly.ioTypeScriptPython

Want a case study like this?

30 minutes. We scope the real problem and figure out what to build.

Book a call
AR Logo

AR Data Intelligence Solutions Inc. · Agentic Workflow Transformation · AI, Blockchain, and Decentralized Tech

7030 Woodbine Avenue, Suite 500, Markham, Ontario, L3R 6G2, Canada

©2026 AR Data Intelligence Solutions, Inc. All Rights Reserved.