Recall.ai has secured $38 million in a Series B funding round at a $250 million valuation, led by Bessemer Venture Partners and joined by HubSpot Ventures, Salesforce Ventures, Ridge Ventures, RTP Global, Y Combinator, and prominent angel investors. The new capital will accelerate the expansion of Recall.ai’s core platform beyond meeting recordings, enabling developers to capture, process, and leverage spoken interactions across desktop applications, phone calls, and in-person conversations.
The company addresses a critical gap in today’s AI ecosystem. Most large language models lack real-time access to the rich context hidden in human speech, and building integrations for every communication channel can take development teams six to twelve months. Recall.ai offers a unified API that abstracts away the complexity of platform‐specific edge cases and infrastructure scaling, allowing a single engineer to deploy robust conversation data pipelines in a matter of days.
Under the hood, Recall.ai’s infrastructure processes more than three terabytes of raw video every second through customized pipelines. The platform automatically spins up over eight million EC2 instances each month, delivering transcripts, metadata, and recordings within ten seconds of any meeting’s conclusion—regardless of length. This level of performance supports enterprise-grade applications that require ultra-low latency and high reliability.
More than two thousand companies, including HubSpot, ClickUp, and Apollo.io, have already integrated Recall.ai to power AI-driven features such as automated note-taking, real-time action item extraction, and conversational analytics. Development teams consistently report a two- to three-fold reduction in time to market compared to building similar infrastructure in-house, freeing them to focus on unique product innovations rather than foundational plumbing.
The recent funding will enable Recall.ai to extend its conversation capture capabilities with a newly released Desktop Recording SDK, expandable support for voice-over-IP dialers, and direct integrations for phone systems and in-person meeting devices. These enhancements will broaden the scope of conversation data available to AI agents and enterprise applications, making spoken context universally accessible.
Recall.ai’s investors view the company as a critical component of the emerging AI stack. As applications shift from text-centric interfaces to autonomous agents that learn and act on human dialogue, reliable conversation data infrastructure becomes indispensable. Recall.ai’s model-agnostic design, enterprise-grade security, and real-time performance position it to become the de facto standard for capturing and delivering conversational context.
How the funding will be used: With the funding, Recall.ai plans to scale its engineering and customer success teams, deepen partnerships across technology and communications providers, and build out advanced features such as searchable audio archives and agentic AI integrations. These efforts aim to unlock new use cases in customer support, sales enablement, healthcare documentation, and beyond, where understanding the nuance of human speech can drive more intelligent, automated workflows.
KEY QUOTES:
“We’re in an AI gold rush, but 99% of the context AI needs is never written down — it’s spoken. To fill out a CRM, AI needs to know what the customer actually said. To write a follow-up email, it needs to know what was discussed. To generate a clinical note, it needs to know exactly what the patient said. Conversation data is the world’s largest untapped dataset, and we’re building the infrastructure that makes it accessible.”
David Gu, co-founder and CEO of Recall.ai
“Recall.ai allows us to build AI-powered meeting recording features without needing to worry about infrastructure or platform-specific edge cases. It has helped us move faster than we could have with an in-house build.”
Jared Williams, EVP Head of Engineering at HubSpot
“Recall.ai is critical infrastructure for the next generation of software, AI apps, and agents. Recall.ai is the clear category leader in conversation data infrastructure. 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. Adoption across enterprises and industries such as sales, recruiting, and healthcare validate Recall.ai’s impact and potential.”
Talia Goldberg, Partner at Bessemer Venture Partners
