Dec 22, 2022

Drishti Technologies, Inc. (Drishti) today announced an investment of $25M in Series B financing. The round, which was led by Sozo Ventures, was raised upon demonstrated evidence that Drishti’s AI-powered video analytics, data, and insights bring significant benefits to manufacturers and the people they employ on the factory floor. As part of this round, Uday Sandhu from Alpha Intelligence Capital has joined Drishti’s board of directors. Alpha Intelligence Capital, Toyota AI Ventures, Micron Ventures, Presidio Ventures, HELLA Ventures, as well as current investors Emergence Capital, Benhamou Global Ventures and Andreessen Horowitz, also participated in the round. Investors see Drishti already addressing a clear, pervasive industry problem for global automotive and electronics manufacturers — a lack of data on manual processes that hinders decision-making. Drishti addresses this problem by providing a new dataset on manual tasks that drives business insights, empowering people in assembly processes, and ushering in a new era of manufacturing: AI-powered production. “This volume and quality of data are valuable as Toyota embraces AI-powered production for a data-driven world,” said Akiharu Engo, department general manager at Toyota, which is evaluating Drishti’s technology at manufacturing plants in North America. “We see Drishti’s technology as a way to help everyone in the factory — including the line associates themselves — identify opportunities to improve performance and create greater value.” “Most manufacturers lack meaningful data about manual assembly processes because human actions are very difficult to measure,” says Jim Adler, managing director at Toyota AI Ventures. “Drishti uses computer vision and AI to create continuous streams of data from video of manual actions.” Solving a 100-year-old problem Manufacturers are still relying on the century-old time-and-motion study practice to measure manual processes. This methodology is suitable for incremental improvements, but today’s manufacturers need to exponentially accelerate the speed at which they reduce costs, improve quality, train people, and introduce new products. "This is a segment of manufacturing that seems ripe for innovation, so long relying on humans to gather data and do analysis on a largely manual basis,” said Nick Patience, lead analyst for AI and machine learning at 451 Research, part of S&P Global Market Intelligence. “When a manufacturer is trying to implement continuous improvement, it can get significant leverage using technologies such as computer vision and analytics versus people observing in person and then making changes.” Discrete manufacturers such as DENSO, Flex, Ford, Nissan, and others who embrace lean production methods are working with Drishti to gain efficiencies and infuse resiliency into their workforces and supply chains. Drishti’s impact is felt across the entire plant ecosystem — from line associates to indirect labour to the front office. “There is a particular demand for Drishti’s technology in automotive, where the winners in a crowded industry will have low error rates and a steady supply of new products, and throughout the manufacturing world,” said Uday Sandhu, partner at Alpha Intelligence Capital. “Drishti provides rich data quickly to drive insights and allow automakers and suppliers to make better decisions faster. These implications reach far beyond the automotive world into broader manufacturing, as well.” Addressing manufacturing challenges in a COVID-19 world Drishti’s technology is particularly beneficial as manufacturers reestablish production amidst the impacts of COVID-19. For example, while remote access was a growing trend prior to coronavirus, the pandemic has accelerated its importance. Drishti allows indirect labour to access the line remotely, thus reducing crowding around line associates to protect their health. “At Flex, we have used Drishti to feed data back to our remote business operations centre of excellence, where the industrial and lean engineers can analyze footage and solve problems without adding congestion to the floor,” said Mike Doiron, chief technology officer of global operations at Flex. “In addition to providing valuable training and process optimization benefits, Drishti makes it easier for us to monitor operations remotely, search for key operation steps where quality issues are of concern, and it can also be used in parallel to assist in protecting employees during unique times such as COVID-19.” “The macroeconomic developments of 2018-19 already required steep increases in productivity and efficiency to ensure long-term success in the automotive industry. COVID-19 only accelerated this motion,” said Marco Marinucci, partner & head of HELLA Ventures. “We at HELLA Ventures see significant value in combining Drishti’s best-in-class AI-based manufacturing productivity technology with HELLA’s 121 years of manufacturing excellence on a global scale.” Extending human potential in an increasingly automated world Drishti was founded with the mission of augmenting the role of people in manufacturing. In addition to improving standardized work adherence, highlighting any productivity issues, and driving quality improvements, Drishti is providing AI-based continuous training for line associates. “At Emergence, we promote the idea of coaching networks, where people use AI to help us get better at our jobs while learning new skills,” said Jason Green, a general partner at Emergence Capital. “Drishti is an early example of a coaching network being successfully deployed and creating immediate value for an industry in need of disruptive innovation.” Drishti’s training function uses AI, video, and best practices reinforcement to train new employees, cross-train existing employees and identify what it considers “brilliant outliers”: creative line associates who excel in certain roles or develop new ways to improve standardized work. Employees tend to embrace Drishti because of its direct benefit to workers on the line. “In the future, humans and machines will be working together to deepen the effectiveness of each, driving better outcomes than what would be possible with just humans or just algorithms alone,” said Frank Chen, partner at Andreessen Horowitz. “Drishti’s focus on extending human potential is an example of this principle in action, and the benefits to manufacturers and line associates are clear.” Share this article: