For organizations that do much of their work through virtual meetings, simply making a record or taking notes is not enough to capture everything that is said. Some build their own meeting integrations to capture data, but that is time consuming and costly. Recall.ai helps with a unified API that currently works with Zoom, Google Meet, and Microsoft Team, and can be used to build apps that (among other use cases) automatically populate CRMs or ask customer representatives during support calls. The San Francisco-based startup announced today that it has raised $2.7 million in seed funding.
Round participants include Y Combinator, Cathexis Ventures, Pioneer Fund, Rebel Fund, Bungalow Capital, SV Tech Ventures and Starling Ventures. Support also came from individual investors such as Sentry CTO David Cramer, Doppler CEO Brian Vallelunga, Grain CEO Mike Adams, BloomTech CEO Austen Allred and Runway co-founder Siqi Chen.
Recall.ai’s unified API can access meeting data including real-time video and audio, who the meeting participants are, when they spoke and joined/left the meeting, and when screen sharing started and stopped. The company is currently in a private beta and the API is used by approximately 50 companies across a wide range of industries, including sales, customer support, recruiting, user research, translation, education, and healthcare.
Before Recall.ai launched, co-founders David Gu and Amanda Zhu worked on a research tool that produced real-time transcripts of meeting recordings. Gu told australiabusinessblog.com that much of his team’s technical time was spent building and maintaining meeting integrations, which led them to realize that other companies looking to work with meeting data faced the same challenge.
The main problem that Recall.ai solves is accessing raw video and audio data from video conferencing platforms. Gu said it takes companies about a year to build infrastructure and integrations on their own. But that’s not their only challenge: companies must also host the infrastructure for processing, which can involve hundreds to thousands of servers. This is labor intensive, because engineering teams have to monitor and scale everything. Recall.ai’s API not only makes it faster to build meeting integrations, but also means companies can abstract infrastructure.
A few examples of how Recall.ai’s clients use its platform is one that takes and transcribes audio streams from Zoom, then translates them to produce real-time translations. Another is using Recall.ai to capture video and audio streams of sales meetings to automatically populate CRM software.
Recall.ai is currently monetizing and making money by charging customers per minute of audio and video processed through its platform. Expansion plans include adding more video conferencing and phone system integrations.