AI Startup headroom raises $5M seed funding

US-based AI-enhanced video conferencing product, headroom has raised US$ 5M in a seed funding round held in October 2020. 

This round included participation from many investors including Anna Patterson of Gradient Ventures (Google’s AI Venture fund), Evan Nisselson of LDV Capital, Jerry Yang of AME Cloud Ventures, Ash Patel of Morado Ventures, Anthony Goldbloom – CEO and Co-founder of Kaggle.com and Serge Belongie – Professor of Computer Vision and Machine Learning in Cornell Tech University.

The fund raised will be used to develop the cutting edge AI technology which makes headroom Video Conferencing hassle-free. This AI technology will be helpful in making meetings more communicative and increase awareness of the participants. It will make sure that the computer handles all the technical and mundane tasks and the meeting can happen seamlessly through alert systems which will notice when people have a question, make automatic summary and record the sessions. 

About headroom

headroom is a video conferencing platform powered by Artificial Intelligence. It was founded by a former Google and a Magic Leap executive to make video conferencing easier and less harsh. Julian Green was a former Google employee who was involved in the launch of Computer Vision API and other computer vision projects in Google.

Russian-born Andrew Rabinovich spent his last 3 years in Magic Leap, as the head of AI. He had previously worked as the director of deep learning and head of engineering there. He was also a google software engineer specialising in computer vision and machine learning in the past.

This platform has real-time, interactive transcription which can automatically identify the speaker and make transcriptions. The participants can have an interactive experience with this technology by highlighting the transcripts that they find important. When the meeting ends, the participants will be provided with a summary of the meeting and the highlighted important parts of the transcript. 

headroom would have more inclusive meetings. Computer Vision Technology can identify when people show emotions like excitement, agreement, disagreement etc. It can also identify gestures like thumbs-up, raising hand and thumbs-down. In addition, it also has a provision of prompting speakers when they speak for longer amounts of time so that people who were not able to speak can collaborate. 

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