Food Tech Startup, Foodspace, Launches Technology To Help Brands Capture Product Data Efficiently
Foodspace utilizes machine learning vision technology to help brands digitally transform from category management to attribute management.
Foodspace works with clients like Walmart, Nielsen and others to digitally transform their category management systems into the next generation of attribute management. Their patented machine learning vision technology captures a product photo and categorizes the data, creating accurate product information for CPGs in a quick and efficient manner. Foodspace was founded with the goal of revolutionizing the food sector with technology to power transparency and efficiency.
"Thousands of brands and retailers don't own their digital data and instead rely on consultants to collect product information and transfer them into databases, which is time consuming and expensive, as well as difficult to scale. In order to address the problem that so many companies are facing, Foodspace has decided to tackle the issue of product listings head on and create a unique solution," says Foodspace CEO and Co-founder, Ayo Oshinaike.
Made up of four co-founders, Foodspace is a minority-led food technology company with a strong background in entrepreneurial leadership in the startup world. Northeastern University alum, CEO Ayo Oshinaike, a leader in the black entrepreneur forum, is passionate about helping brands and consumers gain deeper insight into the nutritional value of food ingredients and better transparency into the food they are consuming. A leader in tech innovations, Daniel DeMillard, CTO brings his expertise in computer vision, natural language processing, and machine learning. Rounding out the team are startup mavens, Daniel Yaghsizian, COO and Montana Fredrick, CMO, who bring their unique experience to grow the brand and build out the business.
"Our product intelligence platform has been trained across millions of iterations, to breakdown any product image or data set into the key informational components then match that data into any schema," says Daniel DeMillard, Chief Technology Officer. "We're confident that our technology will save brands time and money and usher them into the next stage of attribute management."
More information is available at: https://foodspacetech.com/