The following post highlights how Venture Scanner categorizes the Artificial Intelligence (AI) startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through July 2017. The above sector map organizes the sector into 13 categories and shows a sampling of companies in each category. Our Innovation Quadrant provides a snapshot of the average funding and average age for the different AI categories and how they compare with one another. Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.

The following post highlights how Venture Scanner categorizes the Artificial Intelligence (AI) startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through April 2017. The above sector map organizes the sector into 13 categories and shows a sampling of companies in each category. Our Innovation Quadrant provides a snapshot of the average funding and average age for the different AI categories and how they compare with one another. Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.

The following post highlights how Venture Scanner categorizes the Artificial Intelligence (AI) startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through April 2017. The above sector map organizes the sector into 13 categories and shows a sampling of companies in each category. Our Innovation Quadrant provides a snapshot of the average funding and average age for the different AI categories and how they compare with one another. Computer Vision / Image Recognition (Applications): Companies that utilize technology that process images in vertically specific use cases.

The above sector map organizes the Artificial Intelligence sector into 13 categories and shows a sampling of companies in each category. Deep Learning/Machine Learning (Platforms): Companies that build computer algorithms that operate based on their learnings from existing data. Examples include predictive data models and software platforms that analyze behavioral data. Deep Learning/Machine Learning (Applications): Companies that utilize computer algorithms that operate based on existing data in vertically specific use cases. Examples include using machine learning technology to detect banking fraud or to identify the top retail leads.