Who we are
nDimensional is passionate about extracting value from data using machine learning. Our team has been doing it for nearly thirty years. From solving complex problems to uncovering new opportunities, we are committed to helping companies use analytics to get to a deeper understanding of what’s going on in their business, and turning data-driven insights into business decisions in real time.
What we believe
Big data requires teams with diverse domain expertise to work together as never before. Humans alone, however, cannot tackle big data. The sheer volume, velocity and variety of data makes machine learning an imperative. To gain competitive advantage, organizations must bring together inductive and deductive reasoning from both humans and machines.
About our cloud platform
Today’s cloud technology and advances in machine learning coupled with everyone’s insatiable appetite for collecting and extracting value from data is making it possible to create game-changing software products. And that’s what we did. Meet nD—the platform for data-driven business value. From business analysts to data scientists and engineers, nD serves the growing number of experts who need access to big data and advanced analytics in a self-serve environment. Quickly and naturally move from understanding what and why something happened to predicting what will happen and even prescribing future action as you move toward real-time decision making.
New and proven
While our nD product is new, our intellectual property is not. nDimensional technology is currently being used to optimize business and physical processes in real-time across numerous industries. Examples include financial market trading for a variety of asset classes; optimizing the fuel efficiency, emissions and availability of electric power generators; detecting issues and determining root causes in monitoring and diagnostic centers; providing credit card fraud detection, financial evaluation; bankruptcy prediction; authorizing radiology services for insurance companies; using satellite imagery for mapping forest changes and predicting sport injuries and player performance.