Neural Federal develops advanced AI and machine learning technologies to promote economic sustainability, bolster national security, improve public health, enhance disaster resilience, and create operational efficiency.
Whether it's predictive analytics, natural language processing, computer vision, or other AI applications, we develop solutions that address industry-specific challenges.
Our data insights and analytics services enable organizations to uncover trends, patterns, and correlations that might otherwise go unnoticed.
Our research initiatives focus on identifying and exploring new methodologies to ensure that we adapt to ever-changing landscapes and provide solutions for the now and for the future.
Utilize Neural’s advanced AI/ML, geospatial systems, and digital twin technology to predict and manage risks associated with natural disasters and climate shifts.
Implement AI and ML to streamline patient data processing, enhance EHR/EMR systems, and support predictive analytics for disease outbreak prediction and prevention, improving public health responsiveness and patient care quality.
Deploy drone and geospatial technology for precision agriculture, enabling real-time crop monitoring, soil health assessment, and sustainable farming practices, optimizing yield and resource use.
Leverage AI, ML, and geospatial analytics to enhance supply chain visibility, predict disruptions, and optimize logistics, ensuring efficient and resilient government agency operations.
Neural Earth combines geospatial and time-series data into actionable insights while leveraging acceleratory AI technologies for near real time risk identification and financial quantification.
Neural Health's accelerate healthcare innovation through actionable insights and streamlined processes fueled by proprietary algorithms and AI-driven solutions.
Neural combines remote sensing, geospatial, and time-series data into actionable insights for health, environmental, economic, and agricultural services, and more.
Developed a platform utilizing satellite, aerial, and drone imagery with machine learning and AI to deeply understand global issues like climate change, deforestation, and urbanization. This approach offers groundbreaking insights into environmental and humanitarian challenges.
Built the world's first blockchain for a distributed digital rights management solution for global satellite imagery, enabling secure and decentralized access to valuable earth observation data.
Developed analytics, EHR/EMR integration, and enterprise architecture for the DoD Health Affairs Military Health System and Veterans Affairs, significantly enhancing healthcare service delivery and data management in critical sectors.
Delivered comprehensive case studies on the environmental determinants of diseases like Zika and Malaria and the geospatial optimization of water wells in East Africa, contributing to public health and resource allocation strategies.
Managed ITAR, government export/compliance activities, and AWS GovCloud environments, ensuring secure and compliant data operations for U.S.-centric customer requirements.
Created Mayo Clinic’s 10-year global strategic plan, influencing the future direction of a leading healthcare institution.
Implemented Google's Cloud Services in Uganda and Microsoft's data integration and patient record protection in Eastern Africa, promoting digital infrastructure and privacy advancements.
Led significant projects in healthcare systems, including the integration of the University of Chicago Medical Center’s first satellite hospital and KPI improvements in Nuvance’s surgical departments, showcasing leadership in healthcare operations improvement.
