Geometric Data Analytics

Startup
Summarized by Halo AI

Geometric Data Analytics is a research and consulting firm specializing in complex data analysis, topological data analysis, and the development of custom algorithms and scalable software architectures for government and commercial clients.

Founded & HQ
Durham, NC, USA
Company size
11-50 employees
Funding
~$6.2M
IP status
15 grants confirmed
Activity highlights
Awarded a $1,799,655 SBIR Phase II contract by DARPA in 2025 to develop AIDA, an Artificial Intelligence Design Assistant for multi-modal tasks like naval vessel design.

Geometric Data Analytics (GDA) is a Durham, North Carolina-based research, development, and consulting company that specializes in solving complex data analysis problems. The firm is built upon expertise in topological data analysis, applied mathematics, machine learning, and software engineering. Their team develops custom algorithms and software architectures, often working in domains where standard off-the-shelf artificial intelligence and machine learning solutions are insufficient. By utilizing test-driven development and modern, scalable microservice architectures, GDA provides interoperable and maintainable technical solutions designed for deployment across diverse environments, including cloud infrastructures and secure, isolated systems.

The company serves clients in the government, military, and commercial sectors, offering capabilities in areas such as anomaly detection, high-dimensional data analysis, agent-based modeling, and signal processing. GDA focuses on delivering scientific research and algorithmic development that can be seamlessly integrated into larger systems. Their methodology emphasizes speed and reliability, enabling partners to progress from theoretical concepts to functional, deployable prototypes efficiently. GDA also supports open-source initiatives and provides consulting to help organizations modernize their development pipelines through CI/CD practices and containerized deployment technologies.

AI summary generated on Jun 22, 2026
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TJ
Tessa Johnson
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