Recall.ai Enhances AI Applications with Conversation Data
Conversations represent one of the world's largest datasets. However, the data and context driving today's AI revolution are often limited to documented or structured information. Conversation data remains largely untapped. Yet, every strategy meeting, sales call, customer complaint, brainstorming session, doctor consultation, and casual chat holds invaluable context.
Conversation and meeting data provide essential context to enhance AI agents and applications. Recall.ai offers infrastructure that facilitates capturing and leveraging this data at scale and in real-time. The ability to derive insights from conversation data is driving the emergence of new markets and products. This growing ecosystem includes many portfolio companies like Abridge, Rilla, and Avantos. Recall.ai underpins this trend, leading to the company's $38 million Series B funding round.
In modern organizations, meetings are where crucial context is shared, customer knowledge is exchanged, and decisions are made. Until now, accessing and scaling meeting data across platforms, formats, and workflows has been challenging. Recall.ai addresses this by providing a single, robust solution that abstracts complexity.
Recall.ai offers a unified API and developer platform for conversation intelligence. It supports meeting bots and captures and distills video, audio, and metadata across platforms including Zoom, Microsoft Teams, Google Meet, Webex, Slack, Desktop, and more. Recall.ai handles everything from unlimited concurrent Virtual Machine infrastructure to real-time transcripts, audio and video streams, and granular metadata like speaker identification and screen sharing, all delivered securely.
As the infrastructure behind numerous conversation intelligence products, processing billions of minutes annually, Recall.ai is rapidly growing among developers and enterprises. Leaders and innovators like HubSpot, DataDog, Calendly, Instacart, Charlie Health, Rippling, and ClickUp rely on Recall.ai. The company has grown 12X in 2023 and 3X in 2024 and is on track for a record 2025, with recent launches including Desktop Recording SDK, Calendar Integration, and Storage and Playback, with a Mobile SDK in beta and other major releases coming soon.
Customers can start within hours instead of spending months building custom infrastructure and dedicating ongoing headcount to maintenance. By offloading meeting data management to Recall.ai, teams save over 500 developer hours of engineering time. This allows companies to launch quickly and free up valuable development resources.
The idea for Recall.ai originated from a problem cofounders David Gu (CEO) and Amanda Zhu (COO) encountered while building their previous company, a real-time transcription tool for video conferences. They realized their engineering team's resources were largely consumed by building, scaling, and maintaining platform integrations.
Recognizing this infrastructure challenge affected others, David and Amanda launched Recall.ai in 2022. The small but dedicated team is committed to solving complex technical challenges and providing customers and developers with robust and reliable infrastructure. The team is also expanding. Explore opportunities at Recall.ai.
We are pleased to support this all-star team as it fosters a growing ecosystem of innovative applications. If you are developing applications or agents that could be enhanced with context and need to access, analyze, or act on conversation data, try Recall.ai.