Mato

Mato is an AI-native podcast platform that produces podcasts using AI hosts capable of conducting live, unscripted interviews with real human guests. Its interview engine listens for emotional cues such as conviction, hesitation, and unspoken points, and steers conversations with real-time follow-up questions in the manner of a human producer. The system handles preparation, live hosting, in-session production, and post-session editing through distinct AI roles, then delivers a publish-ready episode with notes and chapters.

Beyond live interviews, the platform offers RSS-based automated discussions that turn blogs or news feeds into recurring episodes, and topic-based generation that creates full episodes from a prompt or subject. It targets organizations and media teams seeking broadcast-quality audio content without a production crew, manual editing, or significant time investment, with live interviews taking about 30 minutes of guest time. The platform also provides enterprise features including API access, white-label deployment, SSO/SAML, and access controls for larger organizations.

Mato was founded by Alexander and Edward Benz, evolving from a marketing agency called Blikket, and has received funding from Mucker Capital. The company continues to expand its product set, including a proprietary voice model (Mato Voice) and MCP-based integration allowing AI assistants to create and manage podcasts directly.