Particle pivots to enterprise API with Radar, a podcast search engine for AI agents

Particle, an AI newsreader startup founded by former Twitter engineers, introduced a podcast search engine called Radar on Wednesday. [1]

Radar transcribes podcast audio and understands its meaning to extract key quotes and highlights. [1]

The company decided to pivot from its news reader app to focus on building an API for this podcast intelligence product. [1]

Hedge funds seeking data invisible to their agents have been the highest-volume customers directly integrating with the API. [1]

Other top-paying customers include AI search platforms, data resellers, and partners like the AI agent search provider Exa. [1]

The product aims to provide audio intelligence to AI agents and services that currently focus primarily on crawling text on the web. [1]

By pivoting from a consumer newsreader to a B2B API, Particle is capitalizing on the growing demand for multimodal data among enterprise AI developers. The early adoption by hedge funds and search providers like Exa demonstrates a clear market gap for unstructured audio data that text-based crawlers currently miss. What the sources don't address: How Radar handles intellectual property rights and potential licensing fees for the podcast content it indexes and monetizes.