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AI for Real-World, High Stakes Decision-Making
Manifest solves high stakes decision-making in real-world environments where data is scarce and experimentation is too risky and costly.


Controls
Optimization
Dynamically and continuously optimize industrial equipment controls in response to real-time, real-world conditions.
Sustainability
Optimization
Reduce emissions to advance sustainability goals and comply with green legislation.
Inventory
Optimization
Optimize inventory levels to meet demand while minimizing costs and waste.
Maintenance
Optimization
Optimize maintenance tasks and scheduling to prevent equipment failure, increase availability, and extend equipment life.
Risk
Simulation
Model and simulate risks to operations to maximize resilience and adaptability against unforeseen disruptions.
Resource Allocation Optimization
Optimize allocation of limited resources (equipment, personnel, funds, etc.) across competing missions and tasks.






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Top Strategies to Meet Emissions Limits under New York City’s Local Law 97

Elevating Your Energy Management System (EMS) with Artificial Intelligence

New York City’s Local Law 97: Detailed Guide to Requirements and Strategies for Compliance













