NEW YORK, Feb. 6, 2019 /PRNewswire/ -- CB Insights today named DeepScale to the third annual AI 100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world.
"After being named to the AI 100 in 2018, last year's honorees raised nearly $4.5B across 45 deals with 6 going on to be valued at $1 billion or more," said CB Insights CEO Anand Sanwal. "The data we compiled on this year's nominees, ranging from their customers to their patents to their CB Insights' Mosaic scores, revealed 100 AI companies that are driving transformation across a number of industries and which are taking on a variety of large societal issues ranging from disaster management to cancer diagnosis to detecting fake news. We expect these companies will see similar levels of momentum and progress in 2019 and are excited to continue to track their progress."
In addition to disrupting core sectors including healthcare, telecommunications, semiconductor, government, retail, and finance, the 2019 AI 100 companies are revamping the broader enterprise tech stack. These companies span the globe, from the US, UK, Israel, Japan, China, Germany, Sweden, and Canada, and are supported by more than 680 investors from 29 countries.
Forrest Iandola, founder and CEO of DeepScale, commented: "We are very excited to be recognized by CB Insights as one of the world's 100 most innovative AI startups. DeepScale is working on bridging the gap between the very best of modern computer vision research and the performance, affordability, and safety requirements of the modern automotive industry. We believe that efficient deep learning is key to making assisted and automated driving ubiquitous."
Through an evidence-based approach, the CB Insights research team selected the AI 100 from over 3,000 companies based on several factors including patent activity, investor quality, news sentiment analysis, proprietary Mosaic scores, market potential, partnerships, competitive landscape, team strength, and tech novelty. The Mosaic Score, based on CB Insights' algorithm, measures the overall health and growth potential of private companies to help predict a company's momentum.
DeepScale uses a full-stack approach to squeezing AI by building highly efficient deep neural networks (DNNs), requiring less computing while producing state-of-the-art accuracy. Full-stack deep learning means that DeepScale has experts working together on every aspect of DNN training, development, deployment, and even data collection/curation to produce proprietary state-of-the-art AI solutions for its customers. The company's recently launched Carver21 product introduces AI building blocks for intelligent cars. With Carver21, DeepScale offers a portfolio of perception software modules that give automotive Tier-1s and OEMs the flexibility they need to create modular, scalable automated driving solutions at price points that allow for mass-production scale.
Quick facts on the 2019 AI 100:
As of EOY 2018, these emerging private companies have cumulatively raised $9.4B across 375 deals.
Eleven companies have reached a unicorn valuation of $1B or more.
Over 680 unique investors from 29 different countries have backed the companies in this year's cohort.
Over 680 US patent applications have been filed by the AI 100.
Twenty-five previous honorees were featured on this year's list, in addition to 75 new companies.
Eight countries are represented on the ranking, and the majority of the companies are based in the United States.
The AI 100 Companies (in alphabetical order):
Area 1 Security
Benson Hill Biosystems
About CB Insights At CB Insights, we believe the most complex strategic business questions are best answered with facts. We are a machine intelligence company that synthesizes, analyzes and visualizes millions of documents to give our clients fast, fact-based insights. Serving the majority of the Fortune 100, we give companies the power to make better decisions, take control of their own future, and capitalize on change.
About DeepScale DeepScale sparked the tiny deep neural network revolution with SqueezeNet. Based in Mountain View, CA, the company develops AI perception software for advanced driver-assistance and autonomous driving, with a focus on implementing efficient neural networks on automotive-grade processors. DeepScale's neural nets use data from various sensors to help vehicles of all automated driving levels better understand the world around them. For more information about DeepScale, please visit www.deepscale.ai.