Drishti Raises $25M In Series B Funding To Enhance Its Computer Vision Solution For The Manufacturing Industry

Drishti Technologies, a California-based startup, has announced that it has raised $25M in Series B funding. The investment was led by Sozo Ventures and was joined by other companies like Andreessen Horowitz, Toyota AI Ventures, Emergence Capital, and Alpha Intelligence Capital. Drishti leverages computer vision technologies to assist manufacturing companies to streamline their workflows.

Founded by Akella, the firm strives to build solutions with cutting-edge technologies for production companies, which can be utilised for defect reduction, process monitoring and optimisation, remote visibility and collaboration, among others.

In a mission to automate the process in factories, Drishti’s solutions not only mould data for monitoring but also generate information by labelling human actions using deep learning and computer vision technologies. In addition, Drishti also offers solutions to monitor the social distancing at manufacturing sites during the COVID-19.

Equipped with robust solutions, Drishti has been named as a 2019 technology pioneer by the World Economic Forum and cool vendor in manufacturing operations by Gartner.

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.

Over the years, Drishti has quickly gained traction as the deployment of the latest technology in the manufacturing industry is greatly untouched. Undoubtedly, some companies offer AI-based solutions to production firms to predict the breakdowns, notify in case of hazardous chemical spills and more, but nothing matches the features and functionality of Drishti’s solutions. The company’s solutions stand out from the rest due to its ability to generate labelled data, thereby collecting numerous variables that assist it in further enhancing its solutions. “Most manufacturers lack meaningful data about manual assembly processes because human actions are very difficult to measure. Drishti uses computer vision to create continuous streams of data from video of manual actions,” said Jim Adler, managing director at Toyota AI Ventures.