Funds for Rapid Conversation Analyst Recall.ai

In San Francisco, conversation analysis firm Recall.ai has announced $38m in Series B funding, valuing the company at $250m. The company says it will launch new conversation data capture capabilities, addressing what it says is 'massive' new demand for reliable infrastructure.

Recall.ai says developers want to harness conversation data without managing complex edge cases, infrastructure scaling, and compliance requirements. The firm provides a unified API allowing engineers to quickly integrate and process data from the likes of Zoom, Microsoft Teams, Google Meet and Slack Huddles. Its infrastructure processes more than three terabytes per second of raw video through custom pipelines and enables real-time access to conversation data, with metadata available within 10 seconds after any meeting ends, regardless of meeting length.

'We're in an AI gold rush,' says co-founder and CEO David Gu (pictured), 'but 99% of the context AI needs is never written down - it's spoken. To fill out a CRM, AI needs to know what the customer actually said. To write a follow-up email, it needs to know what was discussed. To generate a clinical note, it needs to know exactly what the patient said. Conversation data is the world's largest untapped dataset, and we're building the infrastructure that makes it accessible.'

The round was led by Bessemer Venture Partners with participation from HubSpot Ventures and Salesforce Ventures, and joined by RTP Global, Ridge Ventures and Y Combinator, along with a number of individual investors. The funds will allow the company to expand platform coverage through new form factors, including the newly released Desktop Recording SDK, dialers, phone, and in-person integrations, while building additional storage, playback, and agentic AI integrations.

Web site: www.recall.ai .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.