Qualify more leads. Give sellers more conversations that can close.

It runs a full real-time conversation, listening, understanding, and responding in natural speech, to work through your qualification script, ask screening questions, handle objections, and route or disposition the lead based on the answers. It's built for outbound lead qualification, not just simple IVR menus.

The platform runs a real-time audio pipeline (speech detection, transcription, AI reasoning, then speech synthesis) tuned for low-latency, back-and-forth conversation, so callers get human-like turn-taking rather than long awkward pauses.

Yes. You build and configure your agent in a dashboard, and a "Test your agent" feature lets you talk to it live in the browser before pointing it at real calls, so you can refine the script and behavior first.

The system uses a provider fallback chain. If the primary AI model fails, calls automatically fail over to a backup model so the conversation keeps going without dropping the lead.

Right now it integrates specifically with the Convoso Dialer Platform. It connects over standard SIP/RTP, so if you're running outbound campaigns on Convoso, the voice AI agent slots directly into that stack.

It's a self-hosted platform, so it can run in your own environment and keep call traffic and data under your control.

Since it plugs into your existing Convoso setup, most of the effort is scripting and tuning the agent rather than standing up new telephony infrastructure. The main steps are configuring your agent, connecting it to Convoso, and testing it in the browser preview before going live. This could take less than an hour.

The product is designed to run production voice AI agents at scale. (Pair this with concrete concurrency and throughput figures your team can commit to.)

Because you self-host and control the dialer integration and call flows, you keep ownership of consent handling, recording, and disclosures. The agent runs your script, so required disclosures and opt-out handling are things you configure into the call flow. (Legal note: this isn't legal advice, so confirm your specific TCPA and recording obligations with counsel.)

The self-hosted model keeps call data in your environment, and the built-in AI model fallback keeps calls running if a provider fails.