Affectiva

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

Replace clunky ad testing with real world engagement. Attention and Emotions at the speed and scale of a click. We provide the science, the tools, and the platform to quickly set up, measure and respond to human behaviours at scale, cost-effectively. We believe that the more we understand the subconscious and conscious drivers of human behaviour, the better our predictions, decisions, and interactions will be. We are a group of science, technology and design experts obsessed with enabling everyday devices to observe and measure how people live their lives. Our consent-based platform enables everyday devices to safely capture and respond to the ​emotional, memory and thought​ drivers of ​human​ ​behaviour​ as people interact with ​digital experiences​. Through 7 years and 2.5 billion data points collected across 89 countries and 40 businesses, we developed a proprietary solution that monitors and understands how our digital experiences shape human behaviours.