Security & Safety

AI-BDA maximizes security and defense mission capability with AI-driven system operations.

AI-BDA prioritizes securities locate requests by expected availability, the likelihood of fulfillment, and potential profitability.

AI-BDA predicts the likelihood of lender recall events for every security-lender combination and learn from recall events to make better predictions over time.

AI-BDA unifies all telemetry, maintenance, and operational data and runs advanced AI models to monitor asset health and predict failure.

AI-BDA Predictive Maintenance uses supervised and unsupervised machine learning algorithms to analyze streaming data across the sensor, and asset management systems, to detect anomalies and predict malfunctions before they occur.

AI-BDA Inventory Optimization applies advanced machine learning to analyze variability in demand, supplier delivery times, quality issues, and product-line disruptions to build real-time recommendations and monitoring, so users can set optimization by confidence level and receive real-time notifications and root-cause analysis.

AI-BDA uses machine learning techniques to enable accurate forecasting, benchmarking, optimization, demand response, and anomaly detection to improve operations and meet security goals.