Skip to main content

Recall.ai

Category: AI Developer Tools

Recall.ai offers a universal API for developers to access data from meetings on platforms like Zoom, Google Meet, Microsoft Teams, and more. It provides tools to capture and process recordings, transcripts, and metadata for integration into other applications. Recall.ai was founded in 2022. The company is led by David Gu. Based in San Francisco, CA, USA. Team size: 11-50. Total funding raised: $51 million. Latest round: Series B ($38M, Sep 2025) - AI knowledge management. Key investors include Ridge Ventures, Industry Ventures, Y Combinator, Cathexis Ventures, IrregEx, Bungalow Capital, Hack VC, Pioneer Fund, Rebel Fund.

Founded
2022
Headquarters
San Francisco, CA, USA
Team size
11-50
Total funding
$51 million

Value proposition

To provide developers with a single, easy-to-use API to access meeting data from any platform, saving them significant time and resources on building and maintaining complex integrations.

Products and solutions

Meeting Bot API, Desktop Recording SDK, Mobile Recording SDK, Calendar API, Slack Huddles API

Unique value

Provides a single, universal API to access data (recordings, transcripts, metadata) from all major video conferencing platforms. This "build once, connect to all" approach is a significant time and cost saver for developers.

Target customer

Developers and companies building applications that leverage meeting data, such as conversation intelligence platforms, CRMs, note-taking apps, and coaching tools.

Industries served

Sales Technology, Recruiting Technology, Healthcare, Customer Success Platforms, Education Technology

Technology advantage

Recall.ai handles the complex and resource-intensive infrastructure for real-time video and audio data processing, allowing developers to integrate meeting data with a simple API instead of spending months on building and maintaining it.

How they differentiate

Recall.ai provides a unified API for meeting data across a wide range of platforms, saving developers from building and maintaining individual integrations. Their focus on a developer-first approach and handling the underlying infrastructure for real-time data capture differentiates them from generic speech-to-text services.

Main competitors

Deepgram, AssemblyAI, Mux, Vonage Video API

Key partnerships

Assembly AI, Symbl.ai, Speechmatics, Zoom, Google, Microsoft

Notable customers

ClickUp, Apollo.io, Revenue.io, Mem.ai, Incident.io, BrightHire, Sybill, Grain, Instacart, Circle Medical, Filevine, Jiminny

Major milestones

Announced $10M Series A in May 2024., Launched Desktop and Mobile Recording SDKs., Integrated with major meeting platforms like Zoom, Google Meet, and Microsoft Teams., Announced $38M Series B in September 2025 at $250M valuation led by Bessemer Venture Partners., Launched Calendar API and Slack Huddles API., Surpassed 3000 customers., Achieved $31M ARR by January 2026.

Growth metrics

Processed millions of hours of meeting data for over 3000 companies. Grew team to approximately 30 employees.

Market positioning

A leading provider in the niche market for meeting data APIs, backed by Y Combinator and a strong Series A funding round.

Geographic focus

Global

Patents and IP

Information not publicly available.

About David Gu

David Gu is a University of Waterloo Software Engineering student who dropped out in his second year to pursue entrepreneurship. He gained initial industry experience as a Software Engineer at Wish, working on large-scale e-commerce platform development. In 2020, he co-founded Perfect Recall during Y Combinator's Winter 2020 batch alongside Amanda Zhu. After experiencing firsthand the infrastructure challenges of building meeting bot technology at Perfect Recall, David recognized a massive market opportunity and pivoted the company to create Recall.ai. The new focus became providing a universal API that abstracts away the complexity of integrating with multiple video conferencing platforms like Zoom, Google Meet, and Microsoft Teams. This strategic pivot addressed a pain point that typically took engineering teams 6+ months to build, allowing developers to integrate meeting data in days instead of months.

Official website: