Labelbox, a collaborative training data platform for machine learning applications, closed a Series A round of $10 million in capital led by Gradient Ventures, Google’s AI-focused venture fund, with participation from previous investors Kleiner Perkins, First Round Capital, and angel investor, Sumon Sadhu. Anna Patterson, founder and managing partner at Gradient Ventures, vice president of engineering at Google, and Square board member, will join Labelbox’s board.
According to the company, machine learning workflows do not have standard tooling for labeling data, storing it, debugging models, and then continually improving model accuracy. By building a computer vision data labeling and management solution for industrial machine learning applications, Labelbox’s vision is to become the default software for machine learning teams to create and manage high-quality training data.