Data and Analytics
Our data and analytics team has created a platform of tools to enhance the way customers use data. The platform has an end-to-end workflow that collects, stores, processes, mines, and visualizes data. The resulting tools have proven valuable across multiple disciplines from scientific research, to engineering design, to software development. With scalable, web-based data management; powerful, intuitive analytics engines; and functionality to create graphs, charts, geospatial maps, and other visualizations, these tools are designed to enable powerful custom solutions for any data need.
We partner with universities on government-funded projects and with commercial companies on product development. For example, we have worked with researchers at the Georgia Institute of Technology, Harvard University, the University of Washington, and the University of Utah on web-based data visualization tools for the Defense Advanced Research Projects Agency’s (DARPA’s) XDATA project. Our data management tools have also been used by commercial companies to enhance their software development processes as well as by doctors and medical associations to gather imaging data and to create communities around solving clinical problems.
From Our Blog
Helping a Conference Go Virtual: Kitware’s Computer Vision Team Creates Visualizations for CVPR 2020
CVPR, the IEEE/CVF Conference on Computer Vision and Pattern Recognition, is the world’s premier annual computer vision event. Kitware has been a major contributor to … Read More
It is no surprise that there is such a high volume of data relating to the recent COVID-19 outbreak. Kitware’s open source COVID-19 visualization app … Read More
New Open Source Web Application, MaterialNet, Advances Toyota Research Institute’s Materials Research
Kitware’s Data and Analytics team has worked closely with the Toyota Research Institute (TRI) to develop MaterialNet, a new open source web application. TRI’s mission … Read More
Areas of Focus
Advanced Software Metrics
Software is quickly becoming more nuanced and competitive with the advent of complex domains such as virtual reality and artificial intelligence. As a result, it is more important than ever to understand how code performs and how it improves over time. We help make sense of data through grand challenges that crowd-source advanced research or through metrics and dashboards that make it clear exactly where improvements are made and where gaps exist.
Bioinformatics and Large-scale Imagery
Our solutions connect cutting-edge bioinformatics research to a solid, extensible platform, where open science is front and center. We develop data management, analysis management, and visualization applications for a wide range of areas including genomics, metabolomics, and phylogenetics. From browsing and analyzing large histology slides on the web, to stabilizing and sharing new ‘omics algorithms through a robust web application, we have data and analytics covered.
Visual Data Science
We extend our heritage as leaders in scientific visualization with the Visualization Toolkit (VTK) through new visualization solutions for use in general data exploration and understanding. Our web visualizations bring together the best in modern visual analysis, lighting up data in new ways.
We offer advanced capabilities for geospatial analysis and visualization. We support a range of use cases from analyzing geolocated Twitter traffic, to processing and viewing complex climate models, to working with large satellite imagery datasets. Our open source tools and expert staff provide full application solutions, linking raw datasets and geospatial analyses to custom web visualizations.
What We Offer for Your Project
We provide custom research and software development, collaboration, support, training, and books to help in the above areas of focus.
Data and Analytics Platform
The Resonant platform contains open source, web-based tools that store, analyze, and visualize larege datasets from a variety of sources. These tools provide capabilities that include uploading, sharing, managing, exploring, and exporting data. The platform makes it easy to get started, and it offers the ability to create graphs and images without writing code.