SAM-ML transforms how government contractors identify, assess, and pursue opportunities. Our platform continuously scans SAM.gov, leveraging statistical models and LLM-powered document parsing to prioritize solicitations aligned to your company’s strengths. SAM-ML dynamically generates capability matrices, risk profiles, and fit evaluations against evolving RFP criteria — enabling your BD teams to act faster and smarter. By automating early-stage capture analysis, SAM-ML converts fragmented opportunity searches into targeted, data-driven pursuit strategies — accelerating your win pipeline with minimal manual effort.
The Computer Vision CQB Trainer redefines live-fire training with embedded AI and mixed reality. Using real-time computer vision tracking, dynamic scenario generation, and feedback analytics, it turns standard CQB exercises into adaptive training environments. Operators receive instant performance metrics, positional feedback, and engagement quality assessments — boosting decision-making under pressure. Our trainer system integrates seamlessly with existing range setups, providing military and law enforcement teams a new standard in readiness, accuracy, and after-action review without altering live fire protocols.
Predictive Program Management gives program offices and engineering teams a powerful new advantage: proactive risk detection. By analyzing project stories, features, epics, historical timelines, and deliverable data, our system surfaces unseen risks and recommends KPIs tuned to predictive outcomes. Built on agentic AI workflows and graph-based dependency mapping, this solution continuously scans your portfolio to highlight emerging blockers, priority shifts, and potential schedule slippage. It transforms program oversight into a dynamic intelligence engine — driving better forecasting, stakeholder communication, and overall delivery performance.
