Real-time voice agents that answer, qualify, and resolve over the phone — grounded in your systems and handed off cleanly when a human is needed.
Book a callLow-latency voice that sounds natural, acts inside your systems, and knows when to bring in a person.
Answer, route, and place calls that sound natural and stay on-script.
Low-latency, interruptible dialogue that handles real back-and-forth.
Book, update, verify, and transact inside your systems during the call.
Escalate to a human with full context the moment it matters.
Pulls from your knowledge so answers are accurate, not improvised.
Transcripts, outcomes, and insights from every conversation.
Why this is harder than it looks.
People forgive an unusual voice. They do not forgive a pause. A half-second of dead air before every reply is what makes a caller start speaking slowly and loudly, and no amount of scripting recovers from it. Production voice work is mostly a latency engineering problem wearing a conversation-design costume.
Real callers cut in, change their mind mid-sentence, and answer the question you were about to ask. An agent that has to finish its turn before it can listen is not having a conversation, it is reading. Handling barge-in gracefully is the difference between a phone system and a phone call.
Voice is only worth deploying if the agent can do the thing being asked for — book the appointment, verify the detail, update the record — inside your systems, during the call, within the same scoped permissions as any other agent. Otherwise you have built a very expensive way to take a message.
When judgment is required, the caller reaches a person, and that person picks up with the transcript and the context rather than "so, tell me what happened." The failure mode that destroys trust in phone automation is the loop with no exit, so the exit is designed first.
No dead ends — callers reach a person with context intact.
Every call recorded, transcribed, and auditable.
Connects to your telephony, CRM, and systems of record.
The same three moves on every engagement, whatever the workload.
Forward-deployed engineers sit with your team to learn the real workflows, constraints, and definitions of done.
We stand up intelligence around your systems — scoped, secured, and shaped to your operation from the first build.
What ships keeps improving and stays yours, so the value accrues to your organization over time — not the vendor.
It connects to the telephony you already run, alongside your CRM and systems of record. Which numbers and queues it takes is a scoping decision — most deployments start with one well-defined call type rather than the whole switchboard.
Calls are recorded, transcribed and auditable, and the disclosure and consent behaviour is configured to the rules that apply to you. This is part of the security scoping conversation at the start, not a setting discovered later.
Realistically — which is why the handoff path matters as much as the recognition quality. When comprehension degrades, escalating quickly beats guessing, and the agent is tuned to prefer the transfer.
Yes, within the same scoping and suppression rules that govern any other agent, and subject to whatever contact rules apply to your industry.
Agents that resolve customer issues end to end — grounded in your product and docs — with your team on the cases that need a human.
Agents that research accounts, draft outreach, and keep your pipeline moving — so your team spends its time closing, not coordinating.
AI readiness check
A five minute conversation. Honest verdict, including no.
Tap to start. Takes about five minutes.
Describe a piece of work you would want AI doing. We will talk through whether it is deployable yet, and what is missing if it is not. What gets said appears here.
