Clarifai, a New York City-based provider of image recognition technology, raised $10m in Series A venture capital funding.
The round was led by Union Square Ventures, Lux Capital and Osage University Partners with participation from Google Ventures, Qualcomm Ventures, Nvidia Ventures, Corazon Capital, LDV Capital and New York University.
The company intends to use the funds to hire researchers and engineers (http://clarifai.com/jobs) and expand operations.
Founded in 2013 by Matthew Zeiler, CEO, and Adam Berenzweig, CTO, Clarifai develops machine learning algorithms to augment intelligence in a new generation of applications. Starting in 2013 with an image recognition technology, the company has then expanded to incorporate new data sources and support a variety of platforms to provide a deep understanding of image and video content at scale in many environments.
The system automatically understands video content and recognizes 10,000 different objects and concepts, processing videos at 10x faster than real-time. The solution is now available through the company’s API, enabling a new generation of intelligent applications to be built on top of image and video understanding.