Introduction:
Aventus AI, in partnership with Barbara, is redefining digital twin integration by orchestrating diverse AI applications across edge and on-premise infrastructures. Barbara’s ability to deploy and manage AI workloads at the edge significantly reduces latency, enabling real-time insights and closed-loop digital twin functionality. For applications requiring even lower latency, Barbara seamlessly scales on-prem, enhancing performance without compromising security or scalability.
The solution is designed to meet and exceed global industry standards, ensuring secure, interoperable, and efficient operations.
Explore how Barbara and Aventus AI are shaping the future of engineering intelligence—Click here to learn more.
Industry Application
Sector: Advanced Engineering, Manufacturing, and Energy.
Use Case: Multi-layered orchestration of AI applications for dynamic, real-time digital twins.
The Challenge
- Orchestrating diverse AI applications for real-time digital twin operations requires robust, low-latency infrastructure.
- Traditional cloud-based systems struggle with latency and bandwidth limitations for critical engineering processes.
- Ensuring seamless integration across edge and on-premise environments adds complexity.
Global Market Opportunity
- Edge computing is projected to grow to $87.3 billion by 2030, driven by the need for real-time, localised intelligence.
- The global digital twin market is expected to surpass $150 billion by 2030, underscoring the demand for dynamic, AI-driven solutions.
Solution
Barbara and Aventus AI Deliver:
- Edge Computing for Real-Time Operations:
- Barbara’s platform orchestrates multi-modal AI, agent AI, and predictive analytics directly at the edge, ensuring near-instantaneous processing.
- On-Premise Flexibility:
- For latency-critical applications, Barbara provides an on-prem option, further minimising response times and enhancing reliability.
- Dynamic AI Integration:
- Aventus AI’s digital twin integrates diverse AI workloads, including RAG AI and multi-agent systems, managed seamlessly by Barbara.
- Closed-Loop Functionality:
- Real-time feedback loops enable continuous system optimisation, ensuring reliable and efficient operations.
- Standards Compliance:
- Designed to adhere to global norms such as IEC 62443, ISA 95, and IEC/ISO 62264 for secure, scalable, and interoperable operations.
- Scalable Architecture:
- Barbara supports large-scale IoT deployments, enabling Aventus AI to expand digital twin capabilities across global operations.
Execution Plan
- Assessment Phase:
- Evaluate client infrastructure to determine edge or on-prem deployment requirements.
- Platform Integration:
- Deploy Barbara’s orchestration platform to manage AI applications across edge and on-prem environments.
- AI Integration:
- Orchestrate diverse AI workloads (e.g., RAG AI, multi-modal AI) using Barbara to enhance Aventus AI’s digital twin functionality.
- Optimisation Phase:
- Continuously refine AI models and system operations through closed-loop feedback.
Return on Investment (ROI)
- Latency Reduction: Edge computing reduces data processing delays by up to 50%, with on-prem further reducing latency by another 20-30%.
- Operational Efficiency: Real-time analytics improve decision-making speed, increasing system reliability by 35%.
- Cost Savings: Optimised operations and predictive insights reduce maintenance costs by 25%.
Regulatory Standards
This solution is designed to comply with key industry norms:
- IEC 62443 (Cybersecurity): Protects IoT sensors and AIoT hardware from cyber threats during data transmission and operation.
- ISA 95 (Systems Integration): Facilitates seamless data flow from edge sensors to enterprise systems, improving decision-making and operational insights.
- IEC/ISO 62264 (Enterprise-Control System Integration): Standardises communication between operational and enterprise layers, enabling harmonised workflows and predictive maintenance scheduling.
Outcome
By integrating Barbara’s edge and on-prem capabilities with Aventus AI’s real-time closed-loop digital twin, the collaboration delivers transformative outcomes for clients:
- Streamlined As-Built Information Delivery:
- Barbara’s orchestration of AI applications allows Aventus AI to provide clients with immediate and highly informative dashboards.
- These dashboards leverage multi-detailed real-time analysis, predictive maintenance insights, and anomaly detection to ensure actionable and optimised decision-making.
- Barbara’s orchestration of AI applications allows Aventus AI to provide clients with immediate and highly informative dashboards.
- Enhanced Asset Reliability and Lifecycle Optimisation:
- Real-time anomaly detection and predictive insights enable the eradication of critical process failures, dramatically improving reliability.
- Multi-physics simulations monitor asset ageing and implement design improvements, ensuring uninterrupted service and perpetuating the asset lifecycle.
- Real-Time Digital Twin Updates:
- The integration enables 3D geospatial inspection data and other real-world updates to be absorbed into the digital twin immediately.
- This ensures the digital twin remains an accurate, as-built representation, continuously updated with the latest information and analysis.
- Closing the Loop:
- Barbara’s orchestration ensures a fully closed-loop system, enabling continuous optimisation of the digital twin through real-time feedback, prediction analysis, and design enhancement.This provides clients with a system that is always current, adaptive, and fully optimised for their operational needs.
Call to Action
“Transform your operations with real-time intelligence. Aventus AI and Barbara deliver end-to-end solutions that maximise efficiency, reduce latency, and ensure unparalleled system performance. Contact us today to explore how we can help you achieve your engineering goals.”
