Geometric Data Analytics

Where practical solutions and novel insights take shape

GDA develops and applies mathematical, statistical, and computational tools to solve difficult scientific problems in a wide range of industries and research fields. Our team includes key founders of the mathematical field of topological data analysis, which is focused on how the shape of datasets influences behavior of AI systems built on that data. Other team members are experts in differential equations, machine learning and artificial intelligence, physics, biology, applied mathematics, data visualization, and computer science (graph theory and algorithms).

We take a professional, test-driven approach to agile, deployable, interoperable, maintainable software through Test-Driven Development, optimized CI/CD pipelines, self-documenting API endpoints, and scalable containerized microservices. Our entire scientific team is highly sophisticated and experienced in software engineering. We can develop independently or assist and consult on the development of algorithms, microservices, or entire deployment environments.

Software
Our philosophy

Our guiding principle is that clients and partners should be able to use our code both as stand-alone products and as a well-integrated component within their own computational systems. Our employees have decades of experience building computational resources from hardware up, including installing and configuring deep learning frameworks on heterogeneous and distributed resources including GPUs and CPUs. Our standard codebase is developed in a continuous integration environment.

GDA mixes agile software design practices with fundamental research practices to construct compelling demonstrations of research solutions to applied problems.

Government contracting
Our work

GDA performs on government research and development contracts, either as a prime or as a subcontractor to various larger companies. Agencies we have worked with or are working with include:

  • Defense Advanced Research Projects Agency
  • Air Force Research Laboratory
  • Department of Energy
  • Environmental Protection Agency
  • National Geospatial-Intelligence Agency
  • National Oceanic and Atmospheric Administration
  • National Science Foundation
  • National Security Agency
  • National Institutes of Health
  • Department of Homeland Security
  • Office of the Secretary of Defense
  • National Reconnaissance Office

Capabilities

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Data Fusion

Our approaches provide a common language to leverage data from heterogeneous data streams to improve AI models over any single modality.

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Machine Learning

With widespread impact of machine learning approaches, we enhance existing methodologies with computationally efficient shape features and explainable models.

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Edge Analytics

We provide novel analytics for networks of sensors that operate on the edge, communicating with both each other and a central hub to achieve various mission-critical goals.

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Shape Analytics

We specialize in extracting geometric descriptors from data to augment traditional data analysis with sophisticated concepts from contemporary mathematics.

Contact Us

Contact us to see how we can work together to solve interesting and complex data analysis problems.