DeepHow aims to bridge the skills gap in manufacturing, service and repair through an AI-powered just-in-time learning platform based on interactive how-to videos. The core of the DeepHow solution is an AI apprentice called Stephanie that can help capture experts’ know-how and build up an enterprise knowledge repository. In addition, Stephanie can help create step-by-step and interactive how-to videos, which can be used to teach and train these skilled trades and help speed up the learning curve.
An earlier version of DeepHow’s product has already been deployed across more than 30 Siemens service centers worldwide to streamline service and manufacturing operations. The first version of the product’s key benefits include a 38 percent reduction in the time needed for the whole inspection workflow, fewer errors and re-work, consistent processes and quality, reduced training requirements and improved user experiences.
The founders of DeepHow, Sam Zheng (CEO) and Patrik Matos da Silva (CPO), have been working together for nearly a decade. Before Techstars, the two were long-time Siemens Healthineers and former Corporate Technology employees and produced many impactful projects together, including an innovative eye typing solution for Professor Stephen Hawking and a variety of Siemens and government-funded initiatives, which resulted in multiple award-winning products, patents, and inventions.
"Our team is fully committed. Techstars is a trulytransformative, life-changing experience that we’re thrilledto be a part of."
Along with their DeepHow teammate Wei-Liang Kao (Chief Engineer), Sam and Patrick are currently knee-deep in the Techstars program, meeting with more than two hundred mentors in several weeks, speaking with venture capitalists and angel investors, and connecting with companies like Ford to discuss potential pilot programs. In fact, just a couple of weeks into the Techstars program, DeepHow has already started a pilot project with Detroit Bikes, the largest bike manufacturer in the U.S., to capture experts’ know-how, build up the knowledge repository, and speed up the training and onboarding of new technicians.
About DeepHow DeepHow was founded in 2018 by a team of ex-Siemens researchers and engineers who saw an unmet need to transfer knowledge in the skilled trades labor market. They developed an AI-powered, video-centric knowledge capturing and learning platform that bridges the skills gap in the manufacturing, service, and construction industries. DeepHow streamlines know-how capture using AI workflow indexing and segmentation at one-tenth the time of traditional video-editing approaches, and powers knowledge transfer with smart, how-to training videos that boost employee performance by 25%. For more information, visitwww.deephow.com/.