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Mobius StrategyLab

Mobius StrategyLab is a decision-support environment designed to solve the most complex planning and logistics challenges by transferring military-grade Course of Action (COA) generation to the commercial sector. While traditional tools rely on static rules or tribal knowledge, StrategyLab utilizes Reinforcement Learning (RL), knowledge graphs, and high-fidelity simulations to evaluate thousands of permutations in a virtual "sandbox" before a human makes the final call. By sitting "outside the control envelope" of existing systems, it functions as the higher-level planning brain that optimizes how you move people, materials, and molecules across global supply chains.

Reinforcement Learning
AI Agents
Human AI Collaboration

Highlights

Core Capabilities

  • Multi-Modal Logistics Optimization Simulate and optimize product movement across complex transportation networks, including pipelines, vessels, rail, and trucks. StrategyLab considers thousands of variables—such as equipment availability, crew staging, and transport constraints—to identify the most cost-effective routes while keeping contracts whole. 


  • Adaptive Course of Action (COA) Generation Modeled after wargaming protocols built for the USAF and NASA, StrategyLab generates multiple strategic options to overcome unexpected market disruptions. This capability allows leadership to transition from reactive "firefighting" to a proactive stance, ensuring mission-critical assets are positioned at the "speed of relevance"


  • High-Fidelity Scenario Modeling ("What-If" Analysis) Conduct high-stakes wargaming to validate capital decisions before execution. Whether simulating the impact of a refinery turnaround, a pipeline reroute, or a sudden supply chain shock, StrategyLab identifies critical-path bottlenecks and optimizes resource allocation in a risk-free virtual environment. 

Quantifiable Business Impact

  • 50% Reduction in Logistics Inefficiencies: Dramatically lower total cost-per-barrel moved by optimizing scheduling and reducing demurrage charges. 


  • Decision Cycles Reduced from Months to Days: Accelerate strategic planning for complex brownfield projects and turnarounds by replacing manual spreadsheets with automated AI simulations. 


  • Validated Operational Continuity: Ensure safety and compliance by enforcing engineering and regulatory constraints at the decision level, reducing the risk of "headline incidents" that threaten reputation and production. 

The Technology Foundation

StrategyLab is powered by our proprietary MarcoPolo and Coach frameworks, which were engineered to solve "unsolvable" autonomous navigation and logistics problems for high-consequence government missions. By integrating these with knowledge graphs that link maintenance history, procedures, and asset relationships, we provide "AI with a seatbelt"—autonomy that is verified, auditable, and built for production reality

Industry Applications

Energy

Optimizes product movement across multi-modal networks (pipeline, rail, marine, and truck), helping operators respond to disruptions in real-time while reducing cost-per-barrel movement. 

Defense

Generates adaptive Course of Action (COA) plans for contested logistics, ensuring inventory is positioned exactly where needed in complex global theaters. 

Finance

Utilizes remote sensing and predictive modeling to forecast commodity price volatility and global crop yields (such as sugar, soybean, and corn) years in advance of traditional reporting 

Ready to Deploy AI That Works?

Let's discuss how Mobius Logic can help you build compliant, reliable Al systems for your mission-critical operations.