Insider Brief
- Recall.ai raised $38M Series B at a $250M valuation, led by Bessemer Venture Partners with support from HubSpot Ventures, Salesforce Ventures, and others, to expand its API platform for capturing and processing conversation data.
- Its infrastructure provides a unified API for meeting recordings across Zoom, Teams, Google Meet, and Slack, processing over 3TB of raw video per second and serving 2,000+ companies, including HubSpot, ClickUp, and Apollo.io.
- New funding will support desktop, phone, and in-person recording integrations, along with expanded storage, playback, and AI agent capabilities — positioning Recall.ai as the category leader in conversation data infrastructure.
PRESS RELEASE — Recall.ai, the company building the API for meeting recordings, announced that it has closed $38 million in Series B funding at a $250 million valuation, led by Bessemer Venture Partners with participation from HubSpot Ventures and Salesforce Ventures. The company is using the capital to expand beyond meeting integrations and launch new conversation data capture capabilities, including the newly released Desktop Recording SDK, dialers, phone, and in-person meeting support.
Building and scaling reliable integrations across meeting platforms like Zoom, Google Meet, Microsoft Teams, and Slack Huddles is complex, expensive, and time-consuming for development teams. Recall.ai provides a clean, unified API that abstracts away these technical challenges, allowing a single engineer to get up and running in days rather than months.
The company has built a sophisticated infrastructure that processes over three terabytes per second of raw video through custom pipelines and launches over 8 million EC2 instances monthly. This enables real-time access to conversation data with metadata available within 10 seconds after any meeting ends, regardless of meeting length.
“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 AI Conversation Data Opportunity
Over the past year, advances in large language models have made conversation data accessible and actionable at scale for the first time. Companies across dozens of industries — from sales and recruiting platforms to healthcare scribes — are embedding AI that understands human conversations into their core products. Developers want to harness conversation data without managing complex edge cases, infrastructure scaling, and compliance requirements.
This shift has created massive demand for reliable conversation data infrastructure. The company now serves over 2,000 companies ranging from startups to Fortune 500 enterprises, processing millions of meetings monthly — a testament to the success of their infrastructure-first approach.
Enterprise Customer Adoption
Customers, including HubSpot, ClickUp, and Apollo.io, report significant operational benefits from using Recall.ai’s infrastructure. Development teams consistently report 2–3x faster time to market compared to building meeting recording capabilities in-house.
“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.”
Investor Perspectives on $38M Series B Funding Round
“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. Adoption across enterprises and industries such as sales, recruiting, and healthcare validate Recall.ai’s impact and potential.”
Additional investors in the round include RTP Global, Ridge Ventures, and Y Combinator, along with notable individual investors Paul Graham, founder of Y Combinator, Solomon Hykes, founder of Docker, Michael Siebel, founder of Twitch.tv, and Eoghan McCabe, founder of Intercom.
The funding will enable Recall.ai to expand platform coverage through new form factors, including the newly released Desktop Recording SDK, dialers, phone, and in-person integrations, while building additional storage, playback, and agentic AI integrations to support the growing ecosystem of conversation-native software.
To learn more, visit recall.ai.
About Recall.ai
Recall.ai is the infrastructure layer for conversation data. With a single API, developers can access recordings, transcripts, and metadata from meetings, desktops, and phone calls — without managing bots, integrations, or real-time infrastructure. Over 2,000 companies use Recall.ai to build AI products across sales, recruiting, healthcare, and productivity tools.
About Bessemer Venture Partners
Bessemer Venture Partners helps entrepreneurs lay strong foundations to build long-standing companies. With more than 150 IPOs and 350-plus portfolio companies across industries, Bessemer supports founders and CEOs from seed through every stage of growth. Bessemer has backed industry defining companies including Anthropic, Perplexity, Abridge, Canva, Pinterest, Shopify, Twilio, Yelp, LinkedIn, PagerDuty, Wix, RocketLab, Toast and ServiceTitan, and has $19 billion of assets under management. Bessemer has investment teams located in San Francisco, Silicon Valley, New York, Boston, London, Bangalore, and Tel Aviv. Born from innovations in steel more than a century ago, Bessemer’s storied history has afforded its partners the opportunity to celebrate and scrutinize its best investment decisions (see Memos) and also learn from its mistakes (see Anti-Portfolio).
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Featured image: Credit: Recall.ai
