Startup Recall.ai Raises $2.7 Million in Seed Funding to Streamline Meeting Data Capture with Unified API

Capturing all the information discussed in virtual meetings can be difficult for organizations that rely heavily on these meetings for their work, as simply hitting the record button or taking notes isn’t sufficient.

Some companies build their own integrations to capture data, but this can be time-consuming and expensive. Recall.ai offers a solution with a unified API that works with collaboration and video conferencing software like Zoom, Google Meet, and Microsoft Teams.

The API can be used to build applications (among other use cases) that automatically update customer relationship management (CRM) systems or provide prompts to customer service representatives during support calls.

Recall.ai, based in San Francisco, recently announced that it raised $2.7 million in seed funding. The funding round was participated in by investors such as:

  • Y Combinator
  • Cathexis Ventures
  • Pioneer Fund
  • Rebel Fund
  • Bungalow Capital
  • SV Tech Ventures, and
  • Starling Ventures

As well as individual investors such as David Cramer (CTO of Sentry), Brian Vallelunga (CEO of Doppler), Mike Adams (CEO of Grain), Austen Allred (CEO of BloomTech), and Siqi Chen (co-founder of Runway).

Recall.ai offers a unified API that can access various types of meeting data, including real-time video and audio streams, information about meeting participants, and details about when participants speak, join or leave the meeting, and start or stop screen sharing.

The API is currently in private beta and they charge for each minute of audio or video processed through the platform

The API is currently in private beta, and around 50 companies are using it across various industries, such as sales, customer support, hiring, user research, translation, education, and healthcare.

Before starting Recall.ai, co-founders David Gu and Amanda Zhu developed a research tool that generated real-time transcriptions from meeting recordings. Gu said their team spent significant engineering time building and maintaining meeting integrations.

That led them to realize that other companies also faced challenges when working with meeting data. One of the main challenges Recall.ai aims to address is the difficulty of accessing raw video and audio data from video conferencing platforms.

According to Gu, it can take companies up to a year to build and integrate their infrastructure for this purpose. In addition, companies also need to host the infrastructure for processing, which can require hundreds or even thousands of servers and requires ongoing monitoring and scaling efforts from engineering teams.

Recall.ai’s API also speeds up the process of building meeting integrations and allows companies to abstract away infrastructure management.

Some examples of how Recall.ai’s customers currently use the platform include transcribing and translating audio streams from Zoom in real-time and capturing video and audio streams from sales meetings to update CRM software automatically.

Recall.ai currently generates revenue by charging customers for each minute of audio and video processed through its platform. The company plans to expand by adding integrations with more video conferencing and computer telephony integration(CTI).

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