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. We budget every millisecond of the pipeline and cut the parts that don't earn their delay.
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 for sales” for a real conversation that gets the caller where they need to go.
Sub-500ms first-token isn’t a feature, it’s a survival threshold.
ASR (speech to text)
Streaming, not batch, so the model starts thinking while the caller is still talking.
LLM
First-token latency, model choice, and prompt length are all on the clock; we trim what doesn't pay for itself.
TTS (text to speech)
Streamed back as it generates, so the caller hears a reply forming, not silence.
This is the engineering we go deep on in Realtime voice agents: the latency budget nobody talks about.
The call never dead-ends.
- →Fallback paths when a model is slow or unavailable — the call never dead-ends.
- →Clean human escalation that carries full context, so the caller never repeats themselves.
- →Observability on every call: latency, resolution, and exactly where a conversation dropped.