Resources
For engineers building AI voice on the phone network.
Technical guides, integration patterns, and diagnostic context covering latency, call quality, carrier integration, and observability for production AI voice deployments.
Infrastructure
Optimization
Carrier optimization for AI voice calls
How Telepath bridges SIP/RTP from your carrier to AI runtimes with clean media and measurable transport performance.
Read →Observability
End-to-end observability for every call path
Isolate carrier, gateway, and AI runtime issues with structured per-call artifacts instead of anecdotal debugging.
Read →Architecture
SIP to WebSocket bridge for AI voice agents
The protocol gap between SIP carriers and WebSocket-based AI voice runtimes, and what it takes to bridge it cleanly.
Read →Carriers
Bring your own carrier to AI voice
Keep your carrier relationship, DID inventory, and pricing while connecting to any AI voice runtime via Telepath.
Read →Carriers
Choosing a voice carrier for AI voice deployments
Neutral context on Twilio, Telnyx, Bandwidth, Vonage, Plivo, and SignalWire for teams building AI voice at scale.
Read →Latency & quality
Latency
Reducing AI voice agent first-response latency
Where TTFS comes from, how to budget it across carrier setup, gateway, and model timing, and what you can actually move.
Read →Quality
Monitoring call quality for AI voice agents
Why MOS alone doesn’t capture AI voice quality, and what metrics actually predict caller experience.
Read →Diagnostics
Jitter and packet loss in AI voice agent calls
Why network-layer issues hit AI voice harder than traditional VoIP, and how to diagnose them per call.
Read →Connect your carrier. Connect your agent. Inspect everything in between.
Telepath provides the transport and observability layer between your existing carrier and AI voice stack. No carrier migration, no model lock-in.