Cogniac, a San Jose, California-based startup developing computer vision tech for task automation, today announced that it raised $20 million in a series B1 financing round led by National Grid Partners with participation from National Grid, Autotech Ventures, Cisco Investments, Energy Innovation Capital, London Technology Club, Vanedge Capital, and Wing Venture Capital. CEO Chuck Myers says that the proceeds will be put toward the expansion of Cogniac's workforce and the ramp-up of R&D efforts to support the company's approach to computer vision, data storage, and "human-AI interactivity." Computer vision is a type of AI technology that allows machines to understand, categorize, and differentiate between images. Using photos from cameras and videos as well as deep learning components, computer vision can identify and classify objects and then react to what it "sees." Investments in computer vision startups are on the rise as businesses embrace automation during the pandemic, which continues to place a strain on the worldwide labor market.

The freight railway is one of the oldest and most established transport infrastructures in North America and yet it maintains relevancy as its operations continue to expand at rapid rates. Throughout its history, a Class 1 North American Railway has faced challenges related to the complexity of its assets. With 32,500 miles of track and 22 million wheels in operation, cracked rails and damaged wheels require constant inspection, management, and maintenance to prevent possible derailments. Although advancing technology has improved these processes, human subject matter experts are expected to monitor tens of thousands of wheels and miles of track every day -- a solution with complex detection standards that are both tedious and prone to error due to the variability in defects. Cameras attached to the front of over 450 trains capture images along their route that are directly sent to the Cogniac EdgeFlow, where they are effectively evaluated for splits, cracks, or missing bolts.

Cogniac, a California-based provider of an enterprise-class Artificial Intelligence image and video analysis platform has now secured $10 million in Series B funding round, reports VentureBeat. Cogniac is founded by Chuck Myers. It utilizes AI technology to build inspection workflows, offering enterprise-class AI based deep learning solutions that automate visual inspection tasks like detecting, measuring, classifying, counting to human-level accuracy and beyond. Chuck Myers, CEO, Cogniac, said, "We are thrilled with our existing and new investors for leading this round and grateful for their support which will enable the business to continue to grow. We're also grateful for our incredible roster of customers who align with our objective of improving visual inspection. Their partnership has reinforced the value of our mission and encouraged our ambition to provide exceptional service and solutions."