Geometric Data Analytics
Geometric Data Analytics, Inc. (GDA) leverages mathematical rigor and scientific progress to solve complex data analysis challenges, particularly in areas influenced by the shape of datasets. Their expertise spans topological data analysis (TDA), differential equations, machine learning, AI, physics, biology, applied mathematics, data visualization, and computer science. GDA focuses on developing trustworthy, agile, and deployable software solutions using test-driven development, CI/CD pipelines, and scalable microservices. They collaborate with government agencies (DARPA, NASA, NSA), universities, and private companies on projects ranging from safety-critical AI verification and validation to AI-assisted engineering design and wildfire behavior modeling. GDA's products include ClassiFuel for fuel classification from images and the Artificial Intelligence Design Assistant (AIDA) for engineering design. Their work aims to provide novel insights and practical solutions by applying advanced mathematical and computational techniques to real-world problems.
Geometric Data Analytics
Geometric Data Analytics, Inc. (GDA) leverages mathematical rigor and scientific progress to solve complex data analysis challenges, particularly in areas influenced by the shape of datasets. Their expertise spans topological data analysis (TDA), differential equations, machine learning, AI, physics, biology, applied mathematics, data visualization, and computer science. GDA focuses on developing trustworthy, agile, and deployable software solutions using test-driven development, CI/CD pipelines, and scalable microservices. They collaborate with government agencies (DARPA, NASA, NSA), universities, and private companies on projects ranging from safety-critical AI verification and validation to AI-assisted engineering design and wildfire behavior modeling. GDA's products include ClassiFuel for fuel classification from images and the Artificial Intelligence Design Assistant (AIDA) for engineering design. Their work aims to provide novel insights and practical solutions by applying advanced mathematical and computational techniques to real-world problems.