AI Voice Agent Development Studio

A voice agent is only useful if callers stay on the line and the business can trust what it says. We build AI voice agents that follow your own scripts, qualify and book in a real conversation, hand over to a person at the right moment, and write every call back to your systems.

We run one ourselves. On Call, our own product, is an AI voice agent that calls real estate leads, qualifies them and books appointments in the CRM. For AI Shark Tank we built the engineering behind several AI investor personas that speak with their own voices in one live conversation.

What we build

Outbound calling agents that call new leads as soon as they arrive, follow your script and qualify them. See our AI voice agent for real estate.
Booking and live transfer. The agent books on the right calendar, or transfers a ready caller to a person mid-call.
Multi-voice experiences where several AI personas talk in one live conversation, each in its own voice and character, as in AI Shark Tank.
Everything written back. Recordings, transcripts, summaries and structured answers land in your CRM or database.

What makes a voice agent work

Your words, not a generic bot. The agent is set up from your scripts, your market and the objections your team actually hears.
Consent before the dial. In the US, AI-generated voices fall under the TCPA. We check consent in code before the agent places a call, so it cannot be skipped. Read how we build the consent gate.
A person when it matters. Code, not the model, decides when the call goes to a human. Read about the human handoff.
Swappable voices and models. Voice, speech and language models live in configuration, so you can change provider without a rebuild. Across our portfolio we have worked with OpenAI and ElevenLabs.

How we work

One call flow first. We pick the call your team most needs covered and agree what a good outcome is.
Build on your tools. We connect the agent to your phone numbers, CRM and calendars and test it on sample calls.
Go live with people listening. We review conversations closely in the first weeks and keep tightening the agent.
Widen what it handles as it earns trust.

Related work

Our product · Voice AI for real estate

On Call

Read the case study

An AI inside sales agent for real-estate teams. On Call brings calling, qualification, follow-ups and appointment booking into a connected workflow, with CRM integration and human handoff.

Client project · Conversational AI

AI Shark Tank

Read the case study

A live pitching experience with AI investor personas, voice and avatars. We worked with the founder for almost a year, contributing to product strategy as well as the underlying engineering.

Questions

Can the agent sound like our team?

Yes. It follows your scripts, uses your market details and price points, and handles the objections your people hear. We tune it against real conversations until it sounds like your team rather than a generic bot.

What happens when a caller wants a person?

The agent transfers the call or books a time with the right person. The rules for when that happens are set in code by your team, not left to the model.

Do we own the agent?

Yes. We build on your accounts, and the scripts, prompts, voices and providers stay in your configuration so you can change them without us.

Do you build voice agents for teams outside the US?

Yes. We work remotely with teams in the US, Europe and the Gulf. Calling rules differ by country, so we confirm what applies before the agent places a single call.

Voice agents that hold a real conversation.