Recall.ai Raises $38M to Power Cybersecurity Conversation Data Stack

Conversation intelligence just got a major infrastructure boost. Recall.ai, the company providing developers with a unified API to capture and analyze spoken interactions, has closed a $38 million Series B funding round at a $250 million valuation. The round was led by Bessemer Venture Partners with backing from Salesforce Ventures, HubSpot Ventures, and a lineup of high-profile angel investors including Paul Graham, Solomon Hykes, Michael Siebel, and Eoghan McCabe.

The capital will fuel Recall.ai’s expansion beyond its bread-and-butter meeting integrations into new territory: desktop, phone, and even in-person recordings. That growth is powered by a new Desktop Recording SDK and fresh support for dialers and telephony systems, pushing Recall.ai closer to its vision of being the default layer for conversation data infrastructure.

Infrastructure for the AI Gold Rush

Developers have long struggled with the messy work of connecting to platforms like Zoom, Teams, or Slack Huddles. Each requires custom integration, heavy compute, and constant maintenance. Recall.ai abstracts that pain into a single API that one engineer can deploy in days. Behind the curtain, the company spins up over 8 million EC2 instances every month and processes more than three terabytes of raw video per second, surfacing metadata just seconds after a meeting ends.

“We’re in an AI gold rush, but 99% of the context AI needs is never written down — it’s spoken,” said David Gu, co-founder and CEO of Recall.ai. “Conversation data is the world’s largest untapped dataset, and we’re building the infrastructure that makes it accessible.”

Demand From Enterprises

More than 2,000 companies now rely on Recall.ai to bring conversation intelligence features to market faster. Customers like HubSpot, ClickUp, and Apollo.io say the platform slashes development timelines from months to days.

“Recall.ai allows us to build AI-powered meeting recording features without needing to worry about infrastructure or platform-specific edge cases,” said Jared Williams, EVP Head of Engineering at HubSpot. “It has helped us move faster than we could have with an in-house build.”

That speed matters as AI moves deeper into verticals like sales, recruiting, and healthcare. From auto-generated CRM entries to AI-authored clinical notes, every industry is betting on tools that can actually understand human dialogue.

Investor Confidence

For investors, Recall.ai is not just another AI startup riding the hype cycle. It is a foundational layer that makes the next generation of AI apps possible.

“Recall.ai is critical infrastructure for the next generation of software, AI apps, and agents,” said Talia Goldberg, Partner at Bessemer Venture Partners. “Intelligent products need context to work well, and Recall.ai makes it simple for developers to capture and leverage the rich context hidden in conversations.”

The company says it will use the new funding to scale its infrastructure, expand into new capture form factors, and build richer playback and agentic AI features. The bet is clear: as conversation-native software becomes mainstream, the winners will be those who can deliver reliable, compliant, and real-time access to the spoken word at scale.