Empowering Workforces with AI and Computer Vision
San Francisco, California based visual intelligence platform Invisible AI has raised US $3.6 million of seed funding to support commercialization of its edge-based computer vision platform.
Led by venture capital firm 8VC, investors in the company’s initial funding round include iRobot Ventures, K9 Ventures, Sierra Ventures, and Slow Ventures.
Invisible AI offers what it describes as “the industry’s first no-code, edge-based computer vision platform”, and has launched an application to track body movement to improve manual assembly processes in manufacturing facilities. Invisible AI’s technology augments the workforce by giving operators real-time feedback to increase productivity, improve quality, and ensure safety.
Earlier this year, Invisible AI was showcased by Toyota Motor North America as one of four technologies augmenting the workforce on the manufacturing floor of the world’s largest automaker.
Eric Danziger, Invisible AI CEO, says: “We are proud to be working closely with 8VC and other strategic partners to help us advance the product and meet demand.
“We are already working with some of the best names in manufacturing, but we believe every organization can benefit from our AI-enabled cameras. Our service helps to assure high quality, a safe workplace, and replicate best practices throughout manufacturing facilities.”
Alex Moore, a partner with 8VC, adds: “We are convinced that Invisible AI is set to have a huge impact on the $200-billion global manufacturing market, saving money and helping improve processes for a multitude of clients.”
Businesses are starting to rapidly install cameras to gain visibility but this simply increases the burden on employees to review the video to gain insights. Invisible AI instead uses computer vision to help businesses answer critical questions, consistently and inexpensively. Specifically, the inability for manufacturers to monitor assembly processes results in millions of dollars of waste, lost worker time and preventable human injury or error. With this first product, Invisible AI has seen strong demand within top-tier manufacturing companies and this round of funding will be used to rapidly grow the team and expand product capabilities.
Invisible AI’s low-bandwidth and low-cost cameras can be deployed at each workstation to enable full visibility into assembly processes. This computer vision technology operates entirely at the edge with deep learning models 100x smaller than the current state-of-the-art technology available today. The proprietary, custom solution can be deployed in hours, compared to their competition which typically has a lead time of 8 weeks. There is also built-in privacy, with no video data stored in the cloud and no facial data ever utilized.
Visit www.invisible.ai for additional information.