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PHYSICAL HYPERAUTOMATION PLATFORM

Control. Automate. Master Processes. In 4D.

Our 4D Digital Twin fuses Industrial IoT data with precise indoor positioning to give you a digital replica of your operations over space and time. 

Build interactive apps, automate control of machines and simplify process improvement to rapidly optimize your operations. Transform human and machine workflows by leveraging the power of 4D digital twinning. 

Powering The Future Of Operations 

4D1's Physical Hyperautomation Platform synchronizes your operations, enabling streamlined, data-driven efficiency through:

Digital Work Guidance

Build immersive, interactive applications to simplify process workflows and validate quality in real-time.  Physical feedback makes workflows intuitive and minimizes training time for new operators. 

Machine Control

Plan, orchestrate and execute the tasks of all robotic workers.  Precise positioning, advanced pathfinding and human awareness maximize machine competence and collaboration. 

4D Analytics

Visualize, analyze and hypothesize optimizations to your operations.  Use advanced spatial analytics tools to rapidly identify actionable insights to optimize your operations even as conditions change.

Exit Dashboards.
Enter 4D Digital Twin

The Physical Hyperautomation Platform reconstructs physical reality to create a real-time digital replica of your operations across time and space, forming the foundation for augmented workflows and rapid automation. This is accomplished by integrating traditional IoT data with precise positioning and contextualizing it across a 3D representation of the operating environment. Instant identification of issues, patterns, and opportunities, which might go unnoticed on traditional IoT dashboards, enables proactive mitigation of potential problems before they escalate.

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Unprecedented Process Optimization

Continuously fine-tune and adapt your operational processes to optimize efficiency and maintain sustained excellence using data-backed cybernetic loops. Precise digitization of both upstream and downstream physical processes allows the application of control system methodologies for calculated process improvement.

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