Not all data is created equal

Bring us your Big, Dirty, Real-world Sensor Data

Real-world data has errors, noise and some measurements are completely irrelevant. Whether gathered by sensors or recorded by human observation, the context of the data and the goals of the analysis must be accounted for by the algorithms applied. Intelligent algorithms are required to optimize the usability of data gathered under noisy, real-world conditions.

At Context Data Analytics, we start with the data (big, small, noisy, dirty) and the questions you’re trying to answer. A deep dive into the context of the problem and the sources and semantics of the data gives us the insight to apply advanced analytics and formulate targeted solutions. The services we provide have yielded successful applications in areas as diverse as medical diagnostics (FDA), virtual/augmented reality and autonomous vehicle navigation and control.

Who We Are

At Context Data Analytics, we turn complex data into clear insights and targeted solutions, specializing in 3D vision, robotics, and medical monitoring. 30+ years of experience in ML, robotics and computer vision solutions.