About Mato

The future of media is live

We're building the first generation of AI talents that interview real humans, creating authentic content at a scale that was never before possible.

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The Vision

Most of what people know, they've never said out loud

There is a gap between what someone knows and what they can explain. The expert retires without passing it on. The founder feels the market in their bones but can't make the story simple. The customer knows exactly what's broken long before they can name it.

Conversation has always been how humans get knowledge out of each other, and the bottleneck was always the listener. Someone had to prepare, pay attention, and know which question to ask next. Mato's AI agents do that work live, on every call, at any volume. Podcasting is where we start. What people know is where we're going.

Defining: the conversation layer for human knowledge

115K+
people tune in to Mato-powered shows every month.
40%
month-over-month growth across the Mato platform audience.
50K
monthly listeners for The Rush Lindell Show.

Our Mission

We're building the agents that do the listening

Text to speech was solved years ago. The listening was not. Mato builds AI agents that hold live, unscripted conversations with real people, follow the thread a guest is circling, and ask the follow-up that earns the better answer.

Expertise was never the scarce part. Someone who knows how to draw it out has always been the scarce part. Our mission is to put that listener within reach of every organization. Four agents work each session, and the guest only ever feels one steady conversation.

Host

Speaks · live

SigridAstridIngridSolveigRandiSigrid

Leads a real, unscripted conversation. The material worth keeping comes after the first answer, and it is built to get there. It is the only part your guest ever hears.

Anticipates · before

Saga

Rehearses where each answer is heading, reading pace, pauses and hesitation, then hands Nora the sharper follow-up. It learns how you think, so every session gets sharper than the last.

Produces · in the moment

Nora

Listens silently during the session, catches the idea a guest is circling, and shapes the follow-up that earns it. She decides what reaches the host, so the guest only ever feels one steady, curious voice.

Edits · after

Eli

Reviews the raw session, finds what mattered, and assembles the finished piece: notes, chapters, publish-ready. The keeper moments surface on their own; nothing worth hearing is left behind.

The Problem We're Solving

Content creation is broken

Organizations are stuck between expensive production and inauthentic AI — we're building the third way.

Unsustainable costs

Traditional podcast production costs $15-25 per finished minute. A single 30-minute episode can cost $800-2,000 to produce professionally.

$15-25/min production cost

Host burnout

Finding and retaining great hosts is nearly impossible. Talent costs are rising, availability is limited, and burnout rates are climbing.

8-12 hrs per episode

Can't scale authenticity

You can scale scripted AI content, but audiences don't trust it. You can create authentic content, but you can't scale it. Until now.

2-3 shows max capacity

Our Approach

AI that listens, not just speaks

We built Mato from the ground up to conduct real conversations — not just generate audio.

Live interviews with real humans

Most AI tools generate content. Ours understands context, asks follow-up questions, and creates space for experts to share what they actually know.

A guest mid-answer during a live Mato session

Every session runs unscripted. The agents prepare against the brief, then follow the guest rather than a running order.

A guest thinking through a follow-up question

AI that listens first

Most AI tools generate content. Ours understands context, asks follow-up questions, and creates space for experts to share what they actually know.

Conviction, hesitation and the thing left unsaid all register, and the agent knows which of them is worth pressing on.

Enterprise-grade reliability

Built for media networks and enterprise teams. Consistent quality, scalable operations, white-label capabilities, and the reliability you need for production workflows.

Sessions run on the same engine whether you publish once a month or twice a day, so quality does not drift with volume.

The Team

Built by people who believe in authentic media

Mato was founded by a team passionate about the intersection of AI and human storytelling. We've seen how powerful authentic content can be, and we've seen how broken the creation process is. We're building the tools to fix it.

We're a small, focused team based in the United States, working to make Live AI Media a reality for organizations worldwide.