Geometric Data Analytics, Inc. develops and applies mathematical, statistical, and computational tools for the analysis of challenges in various domains including tracking, logistics, modeling, optimization, agriculture, machine learning/artificial intelligence, and biology.

Geometric Data Analytics, Inc.

Geometric Data Analytics, Inc. | 301 followers on LinkedIn. Shaping solutions to complex data problems | Geometric Data Analytics, Inc. is a research, development and consulting company with a focus on solving complex data analysis problems. GDA merges expertise from academia with solutions that matter to industry and government. Check out our open-source tools at https://github.com/geomdata

Chief Scientist at GEOMETRIC DATA ANALYTICS

Paul Bendich

Senior Scientist at Geometric Data Analytics, Inc.

Michael Catanzaro

Office Manager at Geometric Data Analytics

Rachel Groome

Senior Mathematician at GEOMETRIC DATA ANALYTICS

Kenneth Ball

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IPhone / Mobile Compatible

Domain Not Resolving

Google Tag Manager

Apple Mobile Web Clips Icon

HSTS

Google Font API

Google Analytics

DNSSEC

Content Delivery Network

John Harer

Director of Business Development

Ashlee Valente

Director of Operations

Megan Hohenstein Bongartz (she/her)

Finance and Administration

Carie Graham

Business Operations Manager

Megan Hohenstein

Senior Mathematician

Abraham Smith

Scientist

Anastasia Deckard

Data Scientist

Andrew Bartels

Information Technology

Gabby Angeloro

Senior Data Scientist

Gary Koplik

East Coast Companies With Less Than $10M in Revenue (Top 10K)

Analytics Companies With Less Than $500M in Revenue (Top 10K)

Analytics Companies With Fewer Than 100 Employees (Top 10K)

Southern US Companies With Fewer Than 100 Employees (Top 10K)

Geometric Data Analytics focuses on solving complex data analysis problems. GDA merges expertise from academia with solutions that matter to industry and government.

US Department of Energy

Grant - Geometric Data Analytics

One North Carolina Small Business Program

National Science Foundation

Durham

North Carolina

United States

North America

Geometric Data Analytics

Combines multiple data sources to improve machine learning results, applicable in various environments including sensor networks and biological datasets.

Applies machine learning to data preprocessed by shape analytics for feature extraction, reducing dimensionality and computational complexity.

Develops optimal actions or controls for systems to achieve goals using deep neural networks, applicable in multi-agent problems and decision support.

Enables processing and inference across different locations, optimizing communication between edge devices and cloud computing.

Provides tools for AI systems to identify and mitigate unforeseen errors, ensuring robustness and reliability in real-world applications.

Extracts summaries from sensor data at the edge, optimizing communication and machine learning in constrained environments.

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GEOM

COM:GEOMDATA

Geometric Data Analytics, Inc.