A ranking of the 100 most promising private artificial intelligence companies.
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.
WHY IT MATTERS
This article from McKinsey provides an overview of the investments, improvements and priorities in AI and machine learning as of mid 2017.