Recall.ai is Changing the Conversation on Meeting Bots
Ridge led Recall’s Series A to help unlock conversational data
By Akriti Dokania, Partner at Ridge Ventures
Introducing our latest investment at Ridge: Recall.ai, the universal API for meeting bots that captures the conversational data needed to build AI-powered meeting tools.
Conversational data is incredibly valuable and, prior to Recall, incredibly hard to collect. Many companies lack the engineering workforce, specialized expertise, and infrastructure required to extract voice and video data from Zoom, Microsoft Teams, and similar conferencing platforms.
Ridge led Recall’s Series A to democratize access to conversational data and facilitate the creation of meeting bots that serve myriad functions (and industries).
Here is how Recall unlocks conversational data for everybot-y.
Talk isn’t cheap
The AI fervor hasn’t died down one iota, and video conferences remain a huge opportunity for enterprises. Amid the shift to remote work and virtual meetings over the past four years, companies are building large language models (LLMs) to leverage the data from these conversations.
The appeal of conversational data can’t be understated. Enterprises save time and the almighty dollar thanks to AI-based bots that can coach sales reps, transcribe meetings, and countless other tasks.
Why not, as Recall co-founder David Gu puts it, capitalize on “the world’s largest dataset”?
But capturing the conversational data from these meetings is, quite literally, easier said than done. Assembling the necessary infrastructure and integrations is no joke. Businesses are looking at a year of engineering time, and that’s low-balling it. Next comes an even more implausible challenge: processing, monitoring, and scaling the mountain of unstructured voice and video data.
Not fun, nor realistic!
Meeting bots made easy
With Recall, engineers can build meeting bots in days, not months — even if they don’t specialize in real-time video processing or running large-scale infrastructure.
While Recall.ai handles the slog of complex real-time video infrastructure (similar to how companies use AWS to scale apps), businesses can keep their focus where it belongs: improving their products. In speaking with VentureBeat, David spelled out just how impactful this is for businesses:
“For a CTO, this technology means 5+ engineers freed up to focus on higher impact work. For a VP of Product, this means shipping a new feature in 2 months instead of a year, which is critical in fast-moving fields like AI technology.”
Recall’s adaptability is impressive in its own right. Zoom, Microsoft Teams, Google, Slack Huddles—wherever companies prefer to chat, Recall’s universal API fits like a glove.
The numbers do all the talking. Over the past year Recall has grown 10x, and now serves 300+ companies across sales, education, legal, and healthcare, among many other verticals. Whether you’re a sales exec or a marketer, a teacher or a lawyer, building AI-powered meeting bots has never been this easy or accessible.
It starts at the top
Recall co-founders David Gu and Amanda Zhu are the ideal founding duo: technically gifted, tenacious, wise beyond their years, and always willing to learn and grow.
After dropping out of the University of Waterloo at the geriatric age of 19 years old, David and Amanda have created what might prove to be the de facto infrastructural layer for all enterprise-level conversational data. They’ve achieved impressive market traction in a short span, and I believe their technical and business savvy will propel Recall to incredible heights.
I’m humbled to support David and Amanda on their journey and can’t wait for the next milestone!
Interested in shaping the future of meeting bots? Check out Recall’s open positions here!
