Shape analytics

Pioneering the field

The term shape analytics describes our ever-growing suite of techniques for the data-driven analysis of real-world problems. Beginning with the cutting-edge area of topological data analysis (TDA), our toolkit has expanded to incorporate ideas from geometry, measure theory, information theory, graph theory, and analysis.

We specialize in extracting shape descriptors from non-traditional data objects, such as signals, sets of signals, images, and high-dimensional point clouds. These shape descriptors are parsimonious, provably robust to measurement error, and serve as information-rich features for our machine learning and artificial intelligence tools.