Find Needles
Vision.ai
Vision.ai develops a computer Vision-as-a Service application. Vision.ai is headquartered in Burlington, Vermont.
Burlington, Vermont, United States
vision.ai
Nov 1, 2013
Bizmo Cubes
Bizmo helps companies reduce procurement spend with market-informed purchasing solutions and quick access to relevant suppliers.
Wilmington, Delaware, United States
getbizmo.com
Jul 7, 2013
Clicktree
We analyze the traffic logs and apply machine learning algorithms to track web scraping activity. Then we help you understand your web traffic such as who's using your data and the rate at which they are scraping your site. From there we identify potential partners and offer them an API, while blocking unauthorized bot activities on your website.
Sunnyvale, California, United States
2014
The Data Team
The Data Team, a data strategy company, accelerates Enterprise Transformation through premium consulting services and its innovative data products, powered by RoboticDataScience. Data science sits at the core of any analytical exercise conducted on the Big Data or the Internet of Things (IoT) environment. Data science involves a wide array of technologies, businesses, and machine-learning algorithms. The purpose of data science is not only to do machine learning or statistical analysis, but also to derive insights out of the data that a user with no statistics knowledge can understand.
Singapore, Central Region, Singapore
thedatateam.com
2014
FIND AI
FIND AI brings the power of predictive AI to retailers reducing over and under-buying, promoting ideal product allocation, and increasing their customer's lifetime value through personalized, relevant, and customer-centric messaging. They are Building AI-powered sustainable, predictive, and collaborative inventory sales planning tools requiring minimal IT commitment that increase margins and reduce retail waste.
Vancouver, British Columbia, Canada
myfind.ai/company/
2014
Etyon Health
We are healthcare revenue cycle experts that build purpose-driven products and services powered with artificial intelligence capabilities for automating healthcare analysis, reducing denial management costs, reducing patient payment costs, decision enabling EHR's, focusing collection efforts and enriching patient outcomes. Our decision intelligence engines are designed from the ground up to lower healthcare infrastructure costs and deliver greater value to help healthcare leaders achieve the best possible financial and patient outcomes. This is the smarter way to manage revenue cycle business objectives through leading technologies.
Milwaukee, Wisconsin, United States
Jan 2014
InnerEye
InnerEye combines Human intelligence with Artificial intelligence. Our breakthrough technology combines the skills and expertise of the human user, cutting edge neuro-technology and state of the art machine learning and signal processing algorithms. By capitalizing on the merging of human neural processing and deep artificial neural networks, InnerEye allows fast and accurate visual content review, real-time AI training and validation, and establishes a unique human-machine interface for connected user applications.
Herzliya, Tel Aviv, Israel
2014
inventtory Ltd
One of the major intangible asset classes carried on institutional balance sheets is intellectual property (IP). Like other assets classes with difficulty to measure future cash flows, this class could be tradable and realise value through association into a basket of like subjects. For example, if one intended to invest in autonomous vehicles, Google and Tesla stand out as opportunities; but the investment would represent only a small allocation to this sub strategy of each company. In fact, much of the intellectual property underlying autonomous vehicles has a vintage which pre-dates Google’s interest or Tesla existence and is diffused in public institutions. London-based inventtory Ltd. is using Artificial Intelligence to create transparency and liquidity and a global market place for this intangible asset class and will create exchange-traded funds (ETFs) to index emerging technology sectors.
London, England, United Kingdom
2014
