Speaks · live
SigridAstridIngridSolveigRandiSigrid
Leads a real, unscripted interview with the guest, actively listens to their responses, and naturally follows up based on what was actually said during the conversation.
The vision
The AI conversation platform for extracting human knowledge
People know more than they can explain. Mato’s agents close that gap, then turn the conversation into media and intelligence. Podcasting is the first vertical. Current operating figures are shared directly after review.
Investor brief
Two-minute read
Product proof
Live product.
Human conversations
Public product proof.
Current operating figures are shared in private diligence after finance review.
Interview source
Human
Experts, customers, founders, and operators.
Production
Ready
Interview, edit, transcript, clips, and distribution.
Editorial control
Owned
Teams retain final approval before release.
Demo
Direct
Build a real sample episode with the team.
Core workflow
Live
AI agents prepare, host, and follow real conversations with human guests.
Podcasting first
Backed by
The wedge
Most of the shows that should exist never get made
Traditional podcast production depends on a chain of briefs, recording, editing, packaging, and publishing handoffs. That operational load keeps many useful expert and customer conversations from becoming repeatable media.
Mato brings those steps into one reviewable workflow, while the customer keeps editorial control and final approval.
The moat
Live AI-to-human conversation
The product is built around human knowledge, not synthetic monologues. An AI agent interviews a real human guest, listens, follows the thread, and carries the conversation into a reviewable production workflow. Each layer depends on the others, and the three operate as one conversation workflow.
Listens · background
Nora
The live producer agent. Catches the point a guest is circling and shapes the better follow-up, mid-session.
Reviews · post-session
Eli
The editor agent. Finds the material worth keeping and assembles the finished episode after the call.
The moat
A channel today, a layer tomorrow
The AI conversation layer is the horizontal infrastructure underneath every place important knowledge lives inside someone’s head and a form, survey, or transcript cannot reach it.
Starting use case
Podcasting
A public format for expert knowledge.
Core interaction
Conversation
Live, adaptive, and grounded in a guest.
Product direction
Knowledge
Capture what forms and scripts miss.
Proof
It already held up in a regulated industry
Lear Capital’s Outside the Dollar uses AI-hosted interviews with real human guests.
The published episode provides direct product proof in a regulated subject area without turning an old audience snapshot into a current traction claim.
The round
Talk with the founders
Current operating figures, the deck, and financing details are shared directly after review. Public proof first. Private diligence second.
Or reach Alex directly · calendly.com/alex-heymato