Overview

The Industry AI Baseplate provides the necessary foundation to begin to unlock intelligent, AI-driven operations. The Baseplate itself is AI-powered, which serves to accelerate an organization's journey towards intelligent workflows, with the following capabilities:

1. Fuse structured and unstructured data, including control systems, schematics, P&IDs, and imagery, into dynamic, high-definition Objects and Actions, forming an intelligent, live, representation of your operations.
   • Specialized Solutions for Manufacturing Data: The Baseplate offers a variety of custom transformation tooling to ensure every element of data can be represented digitally. For example, leverage the vision capabilities of large multi-modal models to digitize P&ID diagrams, allowing each individual, granular component to be made available within the digital twin of your asset.
   • Comprehensive Contextualization: The Baseplate transforms multimodal data into dynamic, high-fidelity objects and actions — a true unified name space (UNS). In a manufacturing context, the Baseplate comprises a digital twin representing every facet of humans and machines. This contextual information powers metrics such as machine throughput, yield, work in progress, safety incidents, and energy efficiency.
   • Ready for the Operator: The Baseplate, which is also available as a mobile-responsive app, equips field personnel with immediate access to essential, context-rich data in real-time. The Baseplate's AI capabilities not only surface critical information—be it P&IDs, 3D models, or equipment manuals—but will update its contextualization based on live inputs from the operator, a two-way flow of information into the live digital twin.
2. Integrate with control systems: The Baseplate empowers users to take immediate, proactive action. Issue work orders, reset systems, and set up tailored alerts to track key performance indicators and operational milestones directly through the platform. This capability ensures that your manufacturing environment is not just monitored but also dynamically managed and optimized. - Industry grade: With a focus on cybersecurity, interoperability, and regulatory compliance, our solutions provide data integrity and operational efficiency. Through the ontology our software offers real-time visibility and synchronization across systems, ensuring your manufacturing processes meet the highest standards of reliability, security, and efficiency. - Edge to Cloud: Run complex workloads on streaming data in real-time and write-back to systems with minimal latency. Use platform services to conduct data exploration and model training activities. Once defined, the workload can be packaged and deployed at any target, within the multi-cloud ecosystem or on-premise using our edge platform. - Ontology SDK: Provides cross-team, universal access to the Ontology, including logic and models, delivers seamless integration with existing on-premise and cloud-based applications. Leverage this powerful abstraction to extend legacy platform capabilities.
3. Advancing from traditional 3D models to a dynamic 4D immersion. This leap is made possible through dynamic combinations of temporal data with AI/ML models, Scenario, and Actions, to not only view and understand operations across time, but also: - Take Proactive Action: The Baseplate enables a comprehensive simulation of potential actions and their consequences, spanning machines, humans, processes, and the entire system, ensuring a holistic view of your operational dynamics. For example, 'what if I were to defer a maintenance event a few days? How would that impact the workload of my weekend staff, considering both human and process constraints?' - Run Analytics and Predictive Simulations: The Baseplate empowers users to make decisions through a predictive lens, powered by AI and ML, that can leverage historical patterns and outcomes. For example, activating a predictive model could reveal how a two-day delay in production might affect delivery schedules, employee workload, and overall system efficiency. Another example would be using large vision models to view and identify products on a conveyor belt that have defects leveraging historical defect images.
4. Enable adaptive learning for continuous improvement: The Baseplate is designed to continuously learn and adapt. By capturing every action and feeding it into an AI-powered analytics engine, the system refines operational insights, optimizing current processes, and equipping you with the foresight needed for future challenges. For example, equipping the AI with user-uploaded voice notes, enabling AI to enhance documentation for user manuals based on experience from the field.

With the Baseplate as your foundation, your enterprise is well-equipped to deploy other Industry AI applications rapidly:

• AIP for Technical Issue Resolution
• AIP for Production Scheduling & Management
• AIP for Dynamic Predictive Maintenance
• AIP Fleet Maintenance Copilot
• AIP Equipment Surveillance and Smart Alerting