How the AI 100
companies were selected
It is a purely data-driven/algorithmic process that uses CB Insights data. We've gathered this data via our
machine learning technology (dubbed The Cruncher) as well as via several thousand direct submissions
from firms and individual professionals using The Editor.
The Company Mosaic page walks through the factors considered in the algorithm in some detail but at a
high level, it considers several factors including:
Momentum Considers non-traditional signals including news mentions, sentiment, jobs data/hiring,
social media, web traffic and usage, partnerships, and more.
Market Quantifies the health of the sector and industry the company is involved in, including funding,
deals, exit activity, and hiring.
Money Assesses financial signals including funding recency and total raised.
Investor quality Weighs the quality of the investors participating in deals to the company, judging
investors based on exits, returns, and portfolio quality.
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 emotion recognition technology
that humanizes how people and systems interact. Affectiva's patented
technology uses computer vision, deep learning and the world's largest
emotion database of 4.8 million faces analyzed in 75 countries. Affectiva's
SDKs and APIs enable developers to add emotion-sensing and analytics to
their own apps, games, devices and digital experiences. Affectiva is used
by one third of the Fortune Global 100, including more than 1,400 brands,
to gather insight and analytics in consumer emotional engagement.
Affectiva's emotion recognition technology is applied in many different
verticals including online education, healthcare, gaming, robotics, media
and advertising, market research, automotive retail, human resources,
training and coaching, video communic