Labelbox secures $25 million Series B funding to expand its platform that helps customers label the data needed to train AI systems. The latest round of funding was led by Andreessen Horowitz, with participation from Gradient Ventures fund, Kleiner Perkins, and First Round Capital. Labelbox will use the fund to develop and accelerate the company’s roadmap for ML and computer vision models by doubling the size of its engineering and sales teams.
Labelbox allows users to automate labeling so a company can manually label all data except. The funding will also be used to codify best practices and standard metrics for model performance among data scientists, developers in part by working with university and business partners.