Agent design
Tell us the calls that hurt. We map the workflow, the edge cases, and the moments a person should take over — before a line of prompt is written.
- Workflow map
- Call scripts
- Success criteria
Voice agents for the calls that come in and the calls that go back out — answered, routed, and followed up.
Most voice AI picks a direction. We build for the whole call — the one that arrives, and the one that goes back out. Same voice, same context, same standard.
Inbound and outbound · Human handoff · Own inference · One team
A receptionist and call-center agent that greets, qualifies, books, and routes — then hands off with the transcript, the reason, and the context a person actually needs.
After-hours · booked
New patient · Thu 10:30Billing question
Routed · Front deskUrgent · chest pain
Escalated · On-call nurseConfirmations, recalls, no-shows, and lead qualification — placed with the same voice, the context from your systems, and a hard stop when a person should take over.
Our models run on infrastructure we own and operate — no third-party inference API, no per-token billing, and no vendor outage in the middle of a call.
See the Studio →Own infrastructure. Accountable by default.
Not every weight is ours. What is ours: the inference, the infrastructure, and the team accountable for the call.
Our engineers design, build, and run agents around how your business actually works — your systems, your edge cases, your voice. Then they keep tuning until the calls sound handled.
Agent design · Build · Fine-tune · Support
Tell us the calls that hurt. We map the workflow, the edge cases, and the moments a person should take over — before a line of prompt is written.
Senior agent engineers build it against your stack — telephony, CRM, calendar, ticketing — and test it on real recordings, not guesses.
Live calls teach. We tune prompts, voices, routing, and guardrails, and make changes when your process does — measured against the calls that were getting it wrong.
A named team stays on the line after launch. New intents, new integrations, fixes, and a monthly review — with a response time, not a ticket queue.
Already running an agent?
Bring it. We'll audit the calls it gets wrong, fix the prompts, the voice, and the integrations, then take over support from there.
An AI voice platform for inbound and outbound calls. We build, run, and monitor agents that answer, route, follow up, and hand off.
Yes. Same voice, same context, same reporting. The agent that books the appointment can also make the confirmation call.
Yes. Callers say what they need instead of pressing a menu. The agent understands, acts, and resolves.
We run inference on our own infrastructure, choose the best model for each call, and fine-tune or build where it matters. One team is accountable for the result.
A warm transfer with the transcript, the reason for the call, and the context the person needs. You define when handoff happens.
Start is $0.14 per minute. Build is $0.12 per minute plus $299 per month. Enterprise is custom. Every tier includes model inference and voice, with no per-token charges.
Self-serve agents can go live in a day. Production deployments with integrations and review typically take two to six weeks.
No. It covers the calls your team can't get to and hands off the ones that need a person, with context.
It sounds natural, and it discloses that it is AI where required. We do not build agents that pretend to be human.
Security documentation, data-processing terms, and current certification status are available under NDA.
Bring us the call your team dreads. We'll show you what it sounds like when it's handled.