AI Indexes Podcasts for Unseen Insights

Particle, a startup founded by former Twitter engineers, has launched Radar, an AI-powered search engine designed to index and understand the content of podcasts. This innovative platform goes beyond simple transcription, enabling users to discover key quotes and highlights within spoken conversations.

The potential for this audio intelligence is significant, with hedge funds being particularly interested in the unique data accessible through Radar's API. Other early adopters include AI search platforms and data resellers, underscoring the value of making audio content programmatically searchable.

Radar currently transcribes over 130,000 podcasts, encompassing major verticals and adding approximately 20,000 episodes daily. The service provides detailed transcriptions with speaker labels and identifies entities such as people, companies, and brands.

Users can set up customizable alerts for mentions of specific entities or topics. Radar also extracts notable clips with timestamps, offering a concise way to grasp podcast content without listening or reading a full summary. The platform includes features for tracking podcast ads, political bias, and audience data.

While Radar offers a web interface, its core product is an API enabling programmatic access to its audio intelligence. Pricing starts at $29 per month per seat, with business plans and custom API pricing available. Future plans include expanding support to other audio formats like YouTube videos.