Radar makes podcasts searchable — and usable by AI agents
Particle, the AI-focused startup founded by former Twitter engineers, is pivoting its strategic focus toward a high-value frontier: unlocking the vast, untapped reservoir of information buried within spoken audio. On Wednesday, the company unveiled Radar, a sophisticated podcast intelligence platform designed to transcribe, index, and analyze audio content, effectively turning hours of conversation into searchable, actionable data.
Bridging the Audio Gap for AI
While the current wave of AI development has been dominated by text-based models, audio remains a significant blind spot. Most AI agents and search engines are optimized to crawl the web for written content, leaving the rich insights found in podcasts largely inaccessible. Particle aims to change this by providing a foundational layer of "audio intelligence."
“Agents are generally blind to audio; they can’t see it unless something or someone has transcribed it,” explains Particle co-founder and CEO Sara Beykpour. “Our vision is really to have all new media intelligence and all audio intelligence in that API.”
By transcribing over 130,000 podcasts—including the entirety of the Apple Top 200 across 135 distinct verticals—Particle has created the largest service of its kind. With a daily influx of 20,000 new episodes, the platform is rapidly scaling its index to ensure that AI agents have a comprehensive view of the audio landscape.
From News Reader to Enterprise Intelligence
The genesis of Radar lies in a popular feature within Particle’s original news-reading application, which utilized an internal API to surface relevant podcast clips alongside news stories. Recognizing that this utility was far more valuable than a mere app feature, the team decided to pivot, building a robust, standalone API and Model Context Protocol (MCP) service.
The platform’s utility has already caught the attention of high-stakes industries. According to Beykpour, hedge funds have emerged as the most active users of the API, leveraging the data to gain insights that were previously invisible to their automated research agents. Other key adopters include AI search platforms and data resellers, such as the search API provider Exa.
Key Features and Capabilities
Radar does more than just generate raw transcripts. It utilizes advanced machine learning to identify and label speakers, extract key entities—including brands, products, and public figures—and provide deep metadata for every episode.
- Customizable Alerts: Users can set up monitoring for specific topics or guests, receiving notifications via Slack, email, or webhooks.
- Intelligent Clipping: The platform automatically extracts self-contained, timestamped highlights, allowing users to grasp the core of a discussion without listening to an entire episode.
- Ad Intelligence: A dedicated search engine allows brands and researchers to track where companies are advertising, monitor ad trends over time, and analyze brand suitability.
- Advanced Analytics: Radar provides granular data on audience size estimates, listener ratings, sponsorship trends, and even political bias analysis.
Pricing and Future Roadmap
Particle has structured its pricing to accommodate both individual power users and large-scale enterprise needs. The platform is currently priced at $29 per month per seat, with a $399-per-month business tier that includes 20 seats. For developers and enterprises requiring deep integration, custom API pricing is available based on specific consumption requirements.
Looking ahead, the company plans to broaden its scope beyond the podcast ecosystem. The roadmap includes expanding the service to support other audio-heavy formats, including YouTube videos and news clips, further cementing Particle’s role as a vital infrastructure provider for the next generation of AI agents.
Summary of Impact
- Scale: 130,000+ podcasts indexed, with 20,000 episodes added daily.
- Accessibility: Provides an API and MCP layer that makes audio "readable" for AI agents.
- Utility: Offers deep entity tracking, ad monitoring, and automated highlight extraction.
- Target Market: Hedge funds, AI search platforms, and data-driven researchers.
As AI agents continue to evolve, the ability to "hear" and understand the nuances of human conversation will become a competitive necessity. With Radar, Particle is positioning itself as the essential bridge between the world’s audio content and the intelligence engines of the future.