Voice AI agents that answer before the caller gives up.
Realtime voice agents engineered to a sub-500ms first-token budget, ASR to LLM to TTS, accounted for to the millisecond.
A voice agent that pauses for two seconds is a voice agent people hang up on. Latency isn't a nice-to-have here; it is the product.
Voice agents that earn the call.
Inbound voice agents
Handle support and FAQs, triage callers, and route to a human at exactly the right moment.
Outbound voice agents
Qualification and follow-up calls that sound like a person, not a phone tree.
IVR replacement
Swap press-1 menus for a real conversation that gets the caller where they need to go.
Sub-500ms first-token is the survival threshold.
ASR streaming
Speech-to-text streams instead of batching, so the model starts thinking while the caller is still talking.
LLM first-token budget
Model choice, prompt length, and tool calls are all on the clock; we trim what doesn't pay for itself.
TTS streaming
Text-to-speech streams back as it generates, so the caller hears a reply forming, not silence.
The call never dead-ends.
- →Fallback paths when a model is slow or unavailable
- →Clean human escalation that carries full conversation context
- →Observability on every call: latency, resolution, and drop-off point
- →CRM and helpdesk logging so teams know what happened
Telephony, model, and observability wired together.
We connect telephony providers like Twilio with streaming ASR, LLM orchestration, streamed TTS, CRM context, helpdesk logging, and latency dashboards.
Voice systems measured by latency and recovery.
first-token response budget for realtime voice
Latency targetweekly AI conversations handled in production
Phobialatency legs budgeted: ASR, LLM, and TTS
Voice pipelinedead-end calls when fallback and handoff paths are in place
Reliability goalRelated field notes and proof.
Realtime voice agents
The latency budget nobody talks about when building voice AI for production.
Phobia at conversation scale
A production AI system running thousands of weekly conversations with low latency.
AI chatbot development
For teams that need text-first support, sales, and internal assistants.