Headroom builds an AI-powered videoconferencing platform that offers automatic transcripts, meeting summaries, full meeting replays, auto-generated highlight reels, AI upscaling and quick reactions. The product includes extensive analytics that quantify real-time meeting energy by analyzing video, audio and text, and it tracks eye movements and hand and head poses to surface sentiment and engagement. Headroom highlights privacy controls—analytics access is limited to invitees or users with permissions, data is stored in the cloud, users can request deletion, and the company is pursuing SOC 2 Type II certification. The company says it focuses on improving meetings for remote and hybrid teams and targets small- and medium-sized businesses rather than competing directly with mass-market platforms. Headroom has remained free since launch with no usage or storage caps, has around 5,000 users and 14 employees, and emphasizes growth over near-term profit. Headroom is a videoconferencing platform that applies computer vision and natural language processing to produce transcripts, call summaries with highlights, gesture recognition, and optimized video quality. The product hosts videoconferences and surfaces features like editable transcripts, replay-linked editing, and automatic summaries of key points. The team plans future additions such as processing supplementary presentation materials for highlights and further real‑time optimization of what pixels are sent on poor connections. The founders began building the product at the end of 2019 and emphasize designing for real‑time AI from the ground up. Headroom is launching a freemium service with a pilot waitlist for early users. Financially, the company raised a $5 million seed round, which closed in July.

Total raised

$14M

Funding rounds

2

Latest round

Equity

Latest activity

Aug 2022