Phone calls that actually get things done.
For support teams, sales floors, and scheduling-heavy businesses. We build voice agents with sub-400ms response latency, natural barge-in handling, mid-call tool calls, and the call analytics your ops team actually needs.
Latency is the product. At 600ms, voice AI feels like a bad phone line.
The difference between a voice agent that feels natural and one that feels robotic is almost entirely latency. We target sub-400ms end-to-end — from the moment the user stops speaking to the first word of the agent's response. That requires co-locating the STT, LLM, and TTS in the same region, using streaming throughout, and minimizing round trips at every layer.
We also design the agent to handle real phone call behavior: barge-in (the user speaks while the agent is talking), filler words and pauses, bad audio quality, and the fact that people don't follow scripts. We test against real-world call recordings, not clean studio audio.
Every voice agent we build ships with full call logging, transcript search, sentiment analysis, intent tracking, and cost-per-call dashboards. If the agent is doing its job, these dashboards should show escalation rates dropping and resolution rates rising — measurably.
What we build.
Inbound support agents
Handle tier-1 support calls autonomously — answer product questions, process requests, look up account information, and escalate complex cases to human agents with full context.
Outbound sales & follow-up agents
Qualify leads, conduct follow-up calls, schedule meetings, and handle initial objections — with human handoff for warm, qualified conversations.
Scheduling & booking agents
Handle appointment booking, rescheduling, reminders, and cancellations via phone — integrated with your calendar and CRM.
IVR replacement
Replace legacy DTMF IVR trees with conversational agents that understand natural language requests instead of forcing callers through menus.
Mid-call tool calling
Agents that look up account data, create tickets, process payments, send SMS confirmations, and update CRM records — all during the call, without putting the caller on hold.
Call analytics & QA
Transcription, intent classification, sentiment scoring, compliance monitoring, and automated quality assurance scoring for every call — human or AI.
How we build it.
Call audit
We analyze a sample of your existing call recordings: top intents, call duration distribution, escalation triggers, and resolution patterns. This defines the agent's scope and success criteria.
Conversation design
We design the conversation flows, fallback behavior, barge-in handling, and escalation triggers. We write the evaluation criteria before writing a single prompt.
Latency architecture
We design the streaming STT → LLM → TTS pipeline, select co-located infrastructure, and benchmark P50/P95/P99 latencies before integrating telephony.
Telephony integration
We integrate with Twilio, Vonage, Genesys, or your existing telephony stack. We handle SIP, PSTN, and VoIP — and we test against real call conditions, not ideal audio.
Pilot & scale
We deploy to a small call volume slice, measure resolution and escalation rates against human baseline, and scale once performance targets are met.
Tools we use.
Frequently asked.
5 questions answered. Still have one? Reach out.
We target sub-400ms P50 end-to-end (STT + LLM + TTS). At P95, we target under 700ms. This requires streaming at every layer and co-located infrastructure. We benchmark and publish these numbers before go-live.