JDSAT, Inc.
JDSAT is an operations research and big data science company dedicated to closing the gap between data and decision-making through custom analytics that inform and advise clients. The company focuses on developing tailored solutions that address complex organizational challenges, leveraging a diverse team of experts in analytics, technology, and operations research.
Industries
N/A
Nr. of Employees
small (1-50)
JDSAT, Inc.
JDSAT Inc. 3060 Williams Dr Suite 650 Fairfax, VA 22031
Products
Talent management analytics prototype (T3)
Prototype analytic tool for talent management and workforce planning developed by the Strategic Innovation Group.
ExMed logistics executive dashboard
Executive dashboard developed to visualize logistics and medical supply chain metrics for expeditionary medical operations.
Medical COA development optimization tool
Tool for capabilities intelligence and optimization of medical courses of action in operational readiness contexts.
MLOps pipeline in cloud environment
Implementation of a machine-learning operations pipeline for cloud deployment and model lifecycle management.
Agent-based modeling prototypes
Agent-based modeling experiments used for scenario analysis and system behavior exploration.
Cloud launch and related experiments
Cloud deployment experiments and proof-of-concept launches to validate cloud-based analytic capabilities.
Talent management analytics prototype (T3)
Prototype analytic tool for talent management and workforce planning developed by the Strategic Innovation Group.
ExMed logistics executive dashboard
Executive dashboard developed to visualize logistics and medical supply chain metrics for expeditionary medical operations.
Medical COA development optimization tool
Tool for capabilities intelligence and optimization of medical courses of action in operational readiness contexts.
MLOps pipeline in cloud environment
Implementation of a machine-learning operations pipeline for cloud deployment and model lifecycle management.
Agent-based modeling prototypes
Agent-based modeling experiments used for scenario analysis and system behavior exploration.
Cloud launch and related experiments
Cloud deployment experiments and proof-of-concept launches to validate cloud-based analytic capabilities.
Services
Mathematical analysis and modeling to support analytic solutions.
Probabilistic methods applied to uncertainty quantification and risk modeling.
Statistical design and analysis including survey design and observational analysis.
Design and engineering of custom analytic tools and software with extensible architectures.
Data pipeline creation, integration, and engineering to prepare data for analytics and ML workflows.
Applied data-science workflows including model development, validation, and deployment.
Mathematical analysis and modeling to support analytic solutions.
Probabilistic methods applied to uncertainty quantification and risk modeling.
Statistical design and analysis including survey design and observational analysis.
Design and engineering of custom analytic tools and software with extensible architectures.
Data pipeline creation, integration, and engineering to prepare data for analytics and ML workflows.
Applied data-science workflows including model development, validation, and deployment.
Expertise Areas
- Operations research and optimization
- Advanced analytics and data science
- Cloud MLOps and model operationalization
- Decision support and dashboarding
Key Technologies
- Machine learning and AI
- Explainable AI
- MLOps pipelines
- Cloud computing