AgEmerge Podcast 135 with Brad Rosen of NODAR

Brad Rosen is the COO and Co-Founder of NODAR, a leading provider of next generation of stereo vision technology. Technology developments in agriculture continue to create effective ways for automation and sensing providing farmers with useful information and working to improve operation efficiency. Today Brad and Monte discuss the power of the type of sensing technology NODAR has developed. It’s a great conversation so let’s jump right in.

Brad is a seasoned business executive and entrepreneur. With seven tech startups under his belt, Brad has a proven track record of taking ideas from inception to product market fit, to exit.

Prior to NODAR, Brad started, ran, and sold Drync, a venture-backed B2B platform for retailers of beverage alcohol. Before Drync, Brad served as VP Product at Where, a mobile-first LBS company that was sold to eBay. Earlier in his career, Brad held roles at Cognio, a full-stack spectrum analysis system that was sold to Cisco, Ucentric Systems (sold to Motorola), and PureSpeech (sold to Philips).

Brad has an Electrical Engineering degree from the University of Colorado and an MBA from MIT's Sloan School of Management. Brad lives in Lincoln, MA with his wife and 3 kids.

Company Info: NODAR’s Founder, Leaf Jiang, spent 8 years getting his BS, MS, and PhD at MIT studying and implementing optoelectronic systems. He then spent 12 years at MIT Lincoln Laboratory building laser ranging systems for the military - putting them on Humvees and robots for various 3D sensing applications. In short, he’s been thinking about this 3D perception problem for a very long time!

From his extensive work with time-of-flight ranging systems (such as LiDAR), Leaf knew that they would not be a good fit anytime soon for many of the autonomous uses being discussed today, such as autonomy for the billion passenger vehicles out there. Laser-based systems are too expensive, too prone to failure, and have insufficient resolution to accurately detect objects. So Leaf set out to build something better and the answer was NODAR!

Website: https://www.nodarsensor.com/

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