The Science Behind Our Autonomous Robot Software


A Digital Twin for Predictive Material Handling and Factory Logistics

With or without robotics, Factories and Warehouses face unpredictable real world circumstances and scenarios that stress operations and often require human intervention.

But what if your factory could look ahead in time and discover unplanned events or constraints before they occur?

What if your factory or warehouse could notice a trend in logistics and preemptively adjust logistic automation resources to optimize your throughput and production time?

CognitiveFlow’s Production Logistics Digital Twin applies highly tuned algorithms to emulate the future states of your logistic environment while simultaneously monitoring and utilizing live data streams.

In parallel, CognitiveFlow systematically analyzes key metrics,  identifying opportunities to improve KPI metrics, through mission assignment optimization.

CognitiveFlow’s Digital Twin integrates live data streams from factory/warehouse systems (ERP, MES, WMS), IoT Sensors, and/or direct user input.   Our algorithms are carefully designed by leading AI scientists to achieve global material handling system optimization, spanning all modern material handling control systems, including heterogeneous mobile robot fleet managers, AR/ARs, Manufacturing Execution Systems and Warehouse Management Systems.   


CognitiveFlow  – Interactive Virtualization and Visualization


Continuous Mission Optimization

Optimizes at the work cell or factory floor

Changes parameters real time to instantly analyze results

Works across hybrid robotics production logistics systems


AGVs, AMRs, AGCs, AS/ARs, Conveyers, Sorters, Palletizers


Analyzes layout for path and material flow optimization

factory production logistics for lean manufacturing

Adjust Key Parameters and Instantly Analyze Results in Real-Time


AGV Settings


Number of AGVs, Load capacities & Speed


Battery Impact (charge / discharge time)


Exchange AGV types



Deployment Settings


Path Constraints : Length, Width, Speed limits


Source / Sink Throughput


Cell processing time



Production Goals




% Utilization


Bottleneck metrics


CognitionFlow makes it extremely easy to model and optimized material flow scenarios in real-time.

Advancements in autonomous navigation place new challenges on traditional AGV fleet management platforms. Developed by leading AI and Robotics scientists, CognitiveFlow’s AI prediction engine:

Compliments and enhances your existing fleet manager


Automatically adapts to unpredictable and dynamic material flow that is introduced with autonomous robots


Legacy systems require human intervention


CognitiveFlow predicts the optimal solution real time


Continuously optimizes the global fleet


Cyber-Physical Enterprise Architecture for Smart Factories & Smart Warehouses

CognitiveFlow is an open architecture, designed for Industry 4.0,  that can work seamlessly with existing technology stacks.

Classic Discrete Event Simulators


MES : Manufacturing Execution Systems


MOM : Manufacturing Operation Management


WMS : Warehouse Management System


WCS : Warehouse Control Systems


PLC Communication : SCADA, OPC-UA, DDS


AGV/AMR Fleet Managers


Cloud Communication : REST , MQTT


c sharp and c plus
Amazon Web services
microsoft azure

Our Technology

AI-based, Digital Twin robot automation technology

Want to learn about our AI-based, Digital Twin robot automation technology?

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digital twin live demo

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Contact Cognition Factory Robot Automation Experts

Do you have questions or other topics you'd like to discuss?  We would love to hear from  you.