All Ears’ spoken media observations are now available to AI agents through Redpine. The partnership reflects a broader shift happening across AI infrastructure: agents are no longer limited to reasoning over the written web. The next layer is spoken media.

Redpine is an infrastructure platform that allows AI agents and developers to connect external machine-readable data directly into AI workflows and applications. Through the platform, developers can query and work with structured spoken-media signals from All Ears through API and MCP-based workflows.

Podcasts, broadcasts, Web TV, and social media platforms now shape how information spreads across industries, markets, politics, and culture. But while AI systems can search and reason over much of the written internet, spoken media has largely remained outside machine-readable workflows. That is now starting to change.

Building infrastructure for spoken-media transparency

Over the past several years, All Ears has built independent spoken media infrastructure for indexing and structuring spoken information at scale.

Today, the platform processes around 50,000 hours of audio daily across podcasts, social media platforms, broadcast, web TV, and other spoken sources in multiple languages.

The result is a continuously updated layer of structured observations, signals, and insights from spoken media built for AI systems, intelligence workflows, and machine consumption.

Making spoken media machine-readable

Spoken media is one of the internet’s largest information blind spots.

It’s where narratives emerge before they become articles. Where reactions happen before they appear in search trends. Where market sentiment forms before it reaches written analysis.

But spoken media has historically been fragmented, unstructured, and difficult to work with programmatically.

As AI systems increasingly interact with live external data rather than static web snapshots, spoken media is becoming part of the machine-readable internet.

Example use cases

AI agents using Redpine can:

• Monitor brand and company mentions across spoken media

• Track emerging narratives before they appear in written news

• Analyze podcast discussions and earnings call commentary

• Surface real-time signals from broadcasts, and social media platforms 

• Add spoken-media context into research and intelligence workflows

“AI agents need a more complete view of the world, and that starts with greater transparency into the spoken information layer. We believe that spoken media should be searchable, measurable and part of the machine-readable internet. We look forward to working together with Redpine to achieve this.”
– Jonas Lönnquist, CEO, All Ears

“All Ears spent years building independent spoken-media infrastructure before AI agents needed it. Now we get to turn that rare data layer into a recurring revenue stream for All Ears in the new world of agentic AI.”
– Anders Hammarbäck, CEO, Redpine

About All Ears

All Ears provides spoken media intelligence across podcasts, social media, broadcast, and web TV in multiple languages.

The platform delivers structured, real-time spoken-media data for AI systems, APIs, and intelligence workflows, while its SaaS platform is used by brands including Walmart, KFC, and Hertz.

About Redpine

Redpine powers AI companies and agents with access to licensed, high-quality and multimodal data - securely and at-scale. The platform empowers data owners and rights holders to offer controlled and compliant access to their data in real time, through API and MCP-based workflows.

Founded in 2024 and headquartered in Stockholm, Redpine’s team brings experience from McKinsey, Spotify, CERN, VC and Sana, and is backed by NordicNinja VC, Luminar Ventures, node.vc, Greens Ventures and Aligned VC, and investors from OpenAI, Spotify, Perplexity and SiloAI.