Technology
Particle launches Radar to index podcasts for AI agents and search
The startup founded by former Twitter engineers is pivoting to transcribe, index, and analyze spoken audio for AI platforms and enterprise users.
The short version
- AI newsreader startup Particle launched Radar, a platform that transcribes and indexes podcast audio to make it searchable and accessible for AI agents.
- The service processes over 130,000 podcasts—adding 20,000 episodes daily—with features like entity tracking, quote extraction, and automated alerts.
- Targeted clients include hedge funds, AI search providers, data resellers, and researchers, with access available via a web interface, API, and Model Context Protocol.
Key facts
- Particle launched Radar on Wednesday as an audio intelligence platform and podcast search engine.[TechCrunch]
- Radar indexes more than 130,000 podcasts, including all Apple Top 200 shows, and adds approximately 20,000 episodes per day.[TechCrunch]
- The platform provides speaker labeling, metadata entity tracking, timestamped quote extraction, and an ad search engine.[TechCrunch]
- Particle offers access via a web UI, API, and Model Context Protocol (MCP), with pricing starting at $29 per month for individuals and $399 per month for businesses.[TechCrunch]
What remains uncertain
- The company plans to expand coverage to YouTube videos and news clips in the future, though no specific timeline was provided.[TechCrunch]