Radar makes podcasts searchable — and usable by AI agents
The AI startup Particle has launched 'Radar,' a search engine designed to transcribe and index podcast audio for discovery and analysis. By making spoken content searchable, the company aims to provide data intelligence to hedge funds and AI agents that are typically blind to audio.
Why it matters
This technology addresses a significant gap in AI data processing, potentially unlocking vast amounts of previously inaccessible information for automated analysis.
Particle , the AI newsreader startup founded by former Twitter engineers, is shifting its focus to a potentially more lucrative idea: indexing the spoken conversations buried in podcasts and making them discoverable. On Wednesday, the company introduced Radar , a podcast search engine that not only transcribes podcast audio but also understands what it means, enabling it to pull out key quotes and highlights.
The solution has business potential, as it’s already attracted interest from hedge funds looking for data that their agents can’t see, explains Particle co-founder and CEO Sara Beykpour.
“Hedge funds have been the highest-volume customers that are directly integrating with the API,” Beykpour told TechCrunch. While journalists and researchers could also make use of the tools, other top-paying customers have included AI search platforms and data resellers. (The search API provider for AI agents, Exa , for instance, is among Radar’s partners.)
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