10,000 listeners in 30 days. AI hosts, real guests.Read the field note
The vision

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

Mato’s AI agents sit down with real people, listen for the thread, and help them say what they were trying to say.

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The gap between what someone knows and what they can explain is one of the oldest problems in human communication.

The expert
Retires with a lifetime of knowledge they never passed 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.
The oldest technology

Conversation is how humans have always gotten knowledge out of each other.

ask
Socrates · ~400 BCE

He never wrote a thing. He just asked the next question.

The whole method was a person who knew which question would pull the thought into the open.

interview
The interview

A stranger sits down, listens, and the story finally comes out.

Journalism turned the conversation into a craft. The best interviewers hear what you almost said.

listen
The consulting room

Someone trained to listen, and to ask what you’d avoid.

Therapists proved that the right follow-up, held at the right moment, reaches what a form never could.

draw out
The mentor

Drawing out what the student almost knows.

For thousands of years the bottleneck was the same. It took another person who knew how to listen.

now
Live AI media · Mato

Now the listener can be everywhere.

An AI agent that prepares, listens, follows the thread, and asks the follow-up that earns the better answer.

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What changes now

What if AI could do the listening?

Mato builds AI agents that hold live conversations with real people. They prepare before the session, listen during it, follow the thread, and ask the follow-up that earns the better answer.

The person being interviewed doesn’t need to arrive with a finished thought. They arrive with fragments. A story, a feeling, a half-clear opinion. Mato’s job is to help them reach the clearest version of it.

Fragments → clarity

Now I can finally say what I meant.

The product

AI agents that interview humans.

One speaks with the guest. One produces in the background. One finds what mattered after. Each layer depends on the others, and no one else has shipped it.

The host

Conversation Mode

Speaks · live · on-brand

The AI host leads a real, unscripted conversation with your guest. The best material comes after the first answer, and Conversation Mode is built to get there.

The live producer

Nora

Listens · the silent producer

Nora works in the background during the session. She catches the point a guest is circling, hears the unfinished idea, and shapes the follow-up that improves the interview.

The editor

Eli

Reviews · post-session

After the call, Eli reviews the raw material, finds what was worth keeping, and assembles the finished episode. Show notes, chapters, publish-ready.

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The category

Podcasting is the first use case. Knowledge is where we’re going.

Mato is useful anywhere important knowledge lives inside someone’s head and a form, a survey, or a transcript can’t reach it. The same engine, pointed at a wider world.

The interview engine
01

Founder storytelling

The thesis they feel but can’t make land.

02

Customer interviews

What’s broken, in their own words.

03

Expert capture

Knowledge that would otherwise retire.

04

Knowledge transfer

What one team knows, made usable by all.

05

Sales discovery

The real need underneath the request.

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The close

Mato helps people say what they were trying to say.

We’re building the AI conversation layer for human knowledge. Podcasting is where we start. What people know is where we’re going.

Something worth listening to
mato
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