Capabilities
Weather Analytics & Forecasting
With over a decade of DoD Weather expertise, we are uniquely equipped to handle terrestrial and space weather challenges. We bridge research and operations, enabling decision-makers with reliable, mission-critical insights.
Users and Investments
• 14 ongoing Army, Air Force, and Navy projects (9 related SBIR/STTR projects)
• AFWERX TACFI SBIR transition investment
• Weather Data Pilot programs
• Leveraging $25M+ of DoD investments
AI / ML
Our AI/ML solutions are purpose-built for ISR and C2 missions. Using MLOps best practices, we deliver enterprise-grade platforms and algorithms, including USAF-certified solutions at IL5. From global precipitation forecasting to NLP-driven scenario generation, our ML tools unlock clarity in complex operational environments
• Low-Code/No Code ML Platform
– Cloud-Native approach enables data science and ML engineering scalability
– Certified to Field on USAF IL5 networks
• Algorithm Use Cases
– Global precipitation forecasting
– Weather hazard impacts
– Weather scenario generations using natural language queries
• ML Ops
– Enterprise ML Platform for AF Weather
– Operational Algorithms – GSWR is first ML algorithm deployed with the AFWE
Modern Data Management
Effective analytics begins with disciplined data management. NextGen applies DataOps pipelines, agile governance, enterprise modeling, and metadata management to ensure accuracy and availability across intelligence environments. From IL-5 to IL-7 data fabrics, we deliver the infrastructure needed for trusted, high-velocity decision-making.
• DataOps Microservices & Pipelines
• Agile Data Governance
• Enterprise Data Modeling & Ontologies
• Data Catalog/Metadata Management
• Data Observability & Metrics
• Data Fabric for IL-5, IL-6, and IL-7
Cabability Case Study
ML Ops Platform
CUSTOMER NEED
Modern web portal for Air Force Weather (AFW) product dissemination
“[NextGen] Thank you for the team you’ve assembled for us. I’ve been incredibly impressed with their ability to produce results and to fill in the gaps when we inevitably overlook some requirements”
CAPABILITIES
• Manage: datasets, parameters, models
• Execute: training, prediction, & evaluation
• Monitor: pipeline processes
• Evaluate: model based on metrics
BENEFITS
• Based on our commercially available StratusMLEnables rapid model prototyping
• Empowers testing and evaluation of ML models without ML expertise
• Provides team and enterprise collaboration
• Share data & models in a centralized catalog
• Accredited for IL5 and IL6 environments
