“Dextro” stems from the word “dexterous,” meaning agile and skillful. This is what we strive to be — our team and our technology — every day. We are awed by the potential of machines that can perform the human task of understanding video, and are motivated to solve real customer problems by advancing the state of the art via our extensive research roadmap.
Two years ago we set out on a mission to power the intelligence behind every video collection, livestream feed, and internet-connected camera. We are a product-focused company. Our goal is to help clients derive the most meaning from, and useful application for, all of their video content.
Sanchit is a founder of Dextro. An alum of IIT Delhi and UPenn's GRASP Lab, where he focused on computer vision, he was previously at Microsoft and represented India at international robotics competitions. Sanchit loves bagel brunch and lamb biryani on Fridays.
David is a founder of Dextro. He formerly built computer vision systems for collaborative UAV-UGV deployments at iRobot and large-scale structured data systems at Microsoft. His hope is that Dextro's video analysis will one day help robots be able to work in human environments.
Daniel focuses on product and business at Dextro. Daniel was previously at Google for over 6 years, where he invented a patent pending advertising product. He earned a BSc in Economics from Lancaster University Management School (UK) and a MS in Computer Science from Columbia University with a focus in Computer Vision.
Paul works on data at Dextro. He received his Ph.D. in AI at MIT, with Rod Brooks. Paul is also the creator of the open source robotics framework, YARP. He grew up on a small farm in Ireland and there were goats involved. He now lives in Montclair, NJ; there are fewer goats involved.
Chuck works on vision algos at Dextro. He received a PhD from MIT and has 10 years of industry experience at IBM and SRI International. Chuck is proud of his past projects which saved hundreds of lives from road-side bombs in war zones. When not in front of a computer, he's probably biking, baking, or playing bass.
Samarth augments Dextro’s computer vision algos by exploring the role of context in object detection. He comes from Georgia Tech, where he currently works towards a PhD on Computer Vision systems for robots. Samarth kann etwas Deutsch sprechen. Bald werde er mehr sprechen.
François works on knowledge engineering. He received a PhD from the University of Innsbruck and is currently on leave from the University of Montpellier in sunny southern France. He is fascinated by deep learning, although he believes it is a hype. When not at work François can be found playing djembe at New York drumming circles.
Erin focuses on business development at Dextro. Before joining the company, she was responsible for managing Turn Inc.'s direct brand portfolio. Erin holds a BA in economics from Dartmouth, and studied at Oxford University's Hertford College. She loves Bay Area sports.
Raymond develops tools for human in the loop annotation at Dextro. In his previous work at Tagasauris, he built pipelines for media companies to better understand their assets. Ray is both an avid home brewer and photographer, and has written a coffee table book about Mammoth Cave National Park.
Daniel works on developing the Dextro platform. Before joining, he attended Oberlin College, and worked at Square on international launches and core infrastructure reliability. Daniel loves playing trombone.
Connie started her career as a perl developer, but she fell in love with adrenaline that comes with sysops. In her spare time she hosts the Ansible-NYC meetup groups and volunteers for an opera company writing and displaying supertitles.