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.
Run, produce and ship conversations
AI agents that
interview humans
Mato's agents run live interviews that follow up, listen for emotion, and steer like a real producer. Interview your guests, or bring a cohost that preps your rundown and remembers how you think. You show up and talk. Everything else, from edit to distribution, is handled.
Live sessionREC 12:12
What Mato hearsAnalyzing
- ConvictionDetected90%
- Hesitation27%
- Left unsaid67%
Mato asking…
“Honestly… I kept telling myself it was fine.”
Listening…
Backed by
The technology
Mato listens the way the best interviewer would
Surveys collect answers. Mato holds a conversation: preparing, listening, and reading the feeling behind a reply to reach the thing a person didn't know how to say.
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 platform
One engine, many conversations
Every product is the same interviewing engine pointed at a different world. Mato is live and proven. The rest carry that science into markets ten times the size, with no new engine to build.
AI talents walk into every interview already briefed on the guest, the topic, and everything said before.
Guest researchPrior episodesTopic briefRun of show
SigridStep 1
Prepares
Reads the brief, guest, and prior work before every interview.
SagaStep 2
Listens for the thread
Tracks where a person is really going, not just the words on the surface.
NoraStep 3
Reads the emotion
Hears conviction, hesitation, and the thing left unsaid, and knows which to press.
EliStep 4
Earns the better answer
Asks the follow-up a great interviewer would, in the moment it matters.
Traction
The audience keeps compounding
It is the first product on Mato's interviewing engine, and the proof that an AI can host a conversation real people want to listen to.
Use case
More than 115,000 people tune in every month
Mato-powered shows now reach more than 115,000 people each month, and the platform audience is growing 40% month over month. The Rush Lindell Show alone now reaches 50,000 monthly listeners.
“We replaced the production burden, not the authenticity.”
Platform audience · verified August 2026
Read how it started115K+
People tuning in each month
40%
Month-over-month audience growth
115,000+ monthly
Live editing
Edit conversations as they happen
Review, rewrite, remove, or refine any part of the interview while it's still in progress.
Edit transcripts
Update wording, fix mistakes, or improve clarity in real time.
Rewrite with AI
Tighten an answer without losing the guest's voice.
Cut a segment
Drop a tangent without touching the rest.
Steer the host
Send a direction and it asks your question next.
Approve before release
Nothing publishes until your team signs off.
Chapters and show notes
Drafted from the conversation, ready to edit.
Pull a clip
Any moment becomes a share-ready clip.
Your edits reach the audio
Change the words and the audio follows.
The economics
Why the model compounds
The hard part, an AI that can genuinely interview a person, is built once. Every market it enters after that is distribution, not invention.
- 01
One engine, five products
Every new product reuses the same interviewing core. R&D is spent once and compounds across markets.
- 02
Software-margin conversations
AI talents replace the crew, the edit, and the calendar, removing ~90% of the cost of a produced conversation.
- 03
Survey reach, interview depth
The economics of a survey with the signal of a sit-down interview, a combination the market has never priced.
The opportunity
Podcasts first, knowledge next
Each row is a budget that already exists. Research panels, consultants, surveys that don't scale. The same interview engine serves all of them, turning a multi-billion-dollar insight market into software.
01Customer & market researchThe insights budget, run live instead of on dead surveys.
02Win-loss & sales discoveryWhy deals really close or stall, in the buyer's own words.
03Expert knowledge captureInstitutional knowledge, captured before it walks out the door.
04Human capital insightWhat the org actually thinks, past the engagement score.
05User & product feedbackContinuous product signal, not a quarterly NPS number.
Episodes
Every episode we've published
A complete library of conversations powered by Mato's interviewing engine, available to explore anytime.
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.