Recall.ai has closed a $38 million Series B funding round at a $250 million valuation. Bessemer Venture Partners led the investment, with participation from HubSpot Ventures, Salesforce Ventures, Ridge Ventures, Y Combinator, and RTP Ventures.
The round also attracted notable angel investors including Paul Graham (Y Combinator founder), Solomon Hykes (Docker founder), Michael Siebel (Twitch.tv founder), and Eoghan McCabe (Intercom founder). This diverse investor group reflects growing confidence in the conversation data infrastructure market.
The AI boom has created unprecedented demand for conversation data infrastructure. Companies across industries now recognize that most valuable business context exists in spoken form rather than written documentation. Sales teams need to understand what customers actually said during calls. Healthcare providers require accurate patient interaction records. Recruitment platforms want to analyze candidate conversations.
"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. "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."
The new capital will fund significant platform expansion beyond traditional meeting integrations. Recall.ai recently launched its Desktop Recording SDK and plans to add dialers, phone integration, and in-person meeting support. These additions will capture conversation data across multiple touchpoints, not just virtual meetings.
Development teams typically spend 6-12 months building reliable meeting infrastructure in-house. Recall.ai's unified API reduces this timeline to days, allowing companies to focus on their core product features rather than technical integration challenges.
Founded to solve the complex challenge of conversation data access, Recall.ai has built sophisticated infrastructure that processes over three terabytes per second of raw video data. The platform launches more than 8 million EC2 instances monthly and delivers conversation metadata within 10 seconds after any meeting ends.
The company serves over 2,000 organizations, from startups to Fortune 500 enterprises, processing millions of meetings each month. This scale demonstrates the market's appetite for reliable conversation data infrastructure.
Major customers including HubSpot, ClickUp, and Apollo.io report achieving 2-3x faster time to market compared to building meeting recording capabilities internally. "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 of Engineering at HubSpot. "It has helped us move faster than we could have with an in-house build."
Bessemer Venture Partners sees Recall.ai as essential infrastructure for next-generation software development. "Recall.ai is critical infrastructure for the next generation of software, AI apps, and agents," said Talia Goldberg, Partner at Bessemer Venture Partners. "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."
The company's investor base spans venture capital firms and industry veterans who understand both the technical challenges and market opportunity in conversation data infrastructure.
