Taking the work out of meetings.
People work better when they are free to focus on what they enjoy most — forming relationships, thinking creatively, and solving problems. We let A.I. take care of the rest.
Currently, working together over video can be frustrating and hard to navigate with a group, note taking can be a huge distraction from really engaging in the conversation, not everyone loves speaking up and grabbing everyone's attention can be hard.
Current video conferencing solutions may send pixels, but deliver fatigue, frustration and failed communication.
Formed in San Francisco, CA by veterans of Google and Magic Leap Machine Learning products, Headroom is looking to change that.

Consumer

Software

Headroom

Julian Green

Megan Hardy

Jemil Ezzet

Nick Pitts

The Engineering team at Headroom is responsible for developing and optimizing advanced AI-driven solutions that enhance video conferencing experiences. This includes designing intuitive interfaces, implementing machine learning algorithms for automated note-taking and engagement analysis, and ensuring seamless integration across platforms. Their goal is to empower users to focus on meaningful interactions rather than the technical aspects of meetings.

Engineering

About

Team members