Recall.ai secured $38 million in Series B funding, led by Bessemer Venture Partners. This round valued the company at $250 million. HubSpot Ventures and Salesforce Ventures also participated.
The capital will expand Recall.ai's platform beyond meeting integrations. It launches new conversation data capture capabilities. These include a Desktop Recording SDK, dialers, phone, and in-person meeting support. The company also builds additional storage and playback features.
Building reliable integrations across platforms like Zoom and Google Meet presents challenges. Recall.ai offers a unified API. This API abstracts technical complexities, enabling faster development. Developers can launch conversation AI features in days.
Recall.ai now serves over 2,000 companies. Furthermore, it processes millions of meetings monthly. This infrastructure processes over three terabytes per second of raw video. It also launches over 8 million EC2 instances monthly.
Leading companies like HubSpot and ClickUp use Recall.ai. Consequently, they achieve 2-3x faster time to market for AI features.
Powering the Conversation AI Stack
Advances in large language models make conversation data actionable. Consequently, companies across industries embed AI that understands human conversations. Developers therefore require robust cloud infrastructure for this. Recall.ai provides this essential API development layer for conversation AI infrastructure.
The company competes in the broader artificial intelligence data space alongside providers like AssemblyAI and Deepgram, offering similar conversation AI infrastructure. Ridge Ventures, Y Combinator, and RTP Ventures also invested. Furthermore, notable angels included Paul Graham and Solomon Hykes.
