Affectiva
Computer Software
Waltham, Massachusetts
Private Corporation
Our Company
Affectiva, an MIT Media Lab spin-off, is the pioneer in Emotion AI, the next frontier of artificial intelligence. Affectiva’s mission is to bring emotional intelligence to the digital world with our emotion recognition technology that senses and analyzes facial expressions and emotion. Our patented software is built on an emotion AI science platform that uses computer vision, deep learning and the world’s largest emotion data repository of more than 4 million faces analyzed from 75 countries, amounting to more than 50 billion emotion data points. Affectiva’s SDKs and APIs enable developers to add emotion-sensing and analytics to their own mobile apps, games, devices, applications and digital experiences. Affectiva is used by more than 1,400 brands to gather insight and analytics in consumer emotional engagement. Affectiva’s emotion recognition technology is used in many different industries including online education, healthcare, gaming, robotics, media and advertising, market research, automotive retail, human resources, training and coaching, video communication, experiential design, and in wearables and devices. Affectiva is privately held with backing from the National Science Foundation, and leading investors such as Kleiner Perkins Caufield and Byers. Affectiva Emotion Recognition SDKs. Developers can use Affectiva's emotion recognition SDKs to add emotion-sensing and analytics to their own apps and digital experiences, so those these become uniquely emotion-aware and adapt in real time to human emotion. SDKs are available for iOS, Android, Windows, Linux, Mac OS X, Unity and Javascripts. Affectiva Emotion as a Service analyzes human expressions of emotion simply and cost-effectively. Send videos or still images of faces and get powerful emotion data back Highly accurate. No setup. No integration. On demand.Skills We're Looking For
Machine Learning
Computer Science
Computer Vision
Codebase
Deep Learning
TensorFlow
Theano
Caffe
Algorithms
C++
Data Structures
iOS
Linux
Mac
Python
Windows
Software Design
Cross-Platform
Android
Embedded Software
Computing
Market Research
Marketing
Product Management
Scrum
Kanban
Business
Product Life Cycle
Machine Learning Techniques
Emotion Recognition
Benchmarking
Design
Infrastructure
Optimization
Software Development