AI News

News · · 4:58 PM · novora71

Recall.ai Secures $38 Million Series B for Data Platform

Recall.ai has raised $38 million in a Series B funding round, valuing the company at $250 million. The round was led by Bessemer Venture Partners, with participation from HubSpot Ventures, Salesforce Ventures, Ridge Ventures, RTP Global, Y Combinator, and prominent angel investors. The funding will be used to expand Recall.ai’s core platform beyond meeting recordings, enabling developers to capture, process, and leverage spoken interactions across various communication channels.

The company addresses a significant gap in the current AI ecosystem, where most large language models lack real-time access to the context embedded in human speech. Recall.ai provides a unified API that simplifies the integration process, allowing developers to deploy conversation data pipelines quickly and efficiently.

Recall.ai’s infrastructure processes over three terabytes of raw video every second, automatically deploying over eight million EC2 instances monthly. This ensures transcripts, metadata, and recordings are delivered within ten seconds of a meeting's end, supporting applications that require high reliability and low latency.

More than two thousand companies, including HubSpot, ClickUp, and Apollo.io, have integrated Recall.ai to enhance AI-driven features like automated note-taking and conversational analytics. Development teams report significant reductions in time to market, allowing them to focus on product innovation.

The new funding will enable Recall.ai to enhance its capabilities with a Desktop Recording SDK and expanded support for voice-over-IP dialers and phone systems. These enhancements will broaden the scope of conversation data available to AI agents and enterprise applications.

Investors view Recall.ai as a critical component of the emerging AI stack, essential for applications transitioning to autonomous agents that interact with human dialogue. Recall.ai’s model-agnostic design and enterprise-grade security position it as a leader in conversation data infrastructure.