Recall.ai envisions a future where conversation data forms the core intelligence layer powering AI innovation. We are dedicated to unlocking the vast potential of meeting and voice interactions by providing the essential infrastructure that seamlessly captures, transcribes, and analyzes conversations from the most widely used communication platforms around the world.
By building a unified, scalable API platform, we empower developers and enterprises to integrate rich conversational insights into their products and workflows effortlessly. Our mission is to transform the unstructured, real-time exchange of ideas into structured, actionable data that fuels advancements across sales, support, compliance, and beyond.
At Recall.ai, we see conversation data as the next frontier of AI-driven understanding. Through cutting-edge technology and relentless focus on reliability and scale, we are crafting the foundational tools that will enable the next generation of intelligent applications to thrive on the power of human dialogue.
Our Review
When we first encountered Recall.ai, what immediately caught our attention wasn't just another meeting analytics tool — it was the ambitious scope of their infrastructure play. They're essentially building the plumbing that powers the future of conversation AI, and they're doing it at a remarkable scale.
The Infrastructure Play That Caught Our Eye
Think of Recall.ai as the AWS for conversation data. Instead of building separate integrations for Zoom, Teams, and Google Meet, companies can tap into a single API that handles everything from recording to transcription. We're particularly impressed by their processing capability — handling 3 terabytes of video data per second is no small feat.
What's clever here is how they've positioned themselves at the intersection of two explosive trends: the rise of remote work and the AI boom. They're not just capturing meetings; they're creating the fundamental data layer that powers AI applications across industries.
Surprising Scale, Lean Team
The numbers tell an interesting story. With fewer than 30 employees, they're serving over 1,000 companies and approaching $20M in annual recurring revenue. That's the kind of efficiency that makes VCs salivate, and sure enough, they've attracted backing from heavy hitters like Bessemer and Salesforce Ventures.
Their lean approach isn't just about headcount — it's reflected in how they help customers. By abstracting away the complexity of building and maintaining multiple integrations, they're saving engineering teams months of development time.
Where It Really Shines
The real magic of Recall.ai becomes apparent when you look at their expanded scope. Beyond just video meetings, they've built infrastructure for phone calls and in-person conversations. This comprehensive approach makes them particularly valuable for companies building AI applications in sales intelligence, customer support, or compliance monitoring.
While there are other players in the meeting analytics space, Recall.ai's focus on being the infrastructure layer rather than an end-user application sets them apart. They're not trying to be everything to everyone — they're building the foundation that others can build upon.
Unified API for Meeting Platforms to ingest live or recorded meeting data
Real-time transcription and conversation metadata
Cross-platform integrations including Zoom, Microsoft Teams, Google Meet, Slack Huddles, phone calls, and in-person meetings via SDK
Scalable infrastructure processing over 3 terabytes of raw video data per second
Use cases include sales call analysis, customer support QA, note automation, compliance monitoring, and AI-powered conversation intelligence






