Digital Twin Technology
Aelius Venture creates dynamic, data-driven digital twins that mirror your physical assets and processes, unlocking new levels of insight and optimization.
Partner With UsOur Digital Twin Capabilities
We build virtual models of real-world objects and systems to help you simulate, predict, and optimize performance.
Creating high-fidelity digital replicas of physical assets to simulate performance, test scenarios, and optimize design before production.
Using digital twins to monitor real-time operational data, predict failures, and optimize maintenance schedules for critical assets.
Modeling entire systems (like factories or supply chains) as digital twins to identify bottlenecks and improve operational efficiency.
Developing city-scale digital twins to simulate traffic flow, energy consumption, and environmental impact for better urban planning.
Why Aelius Venture for Digital Twins?
Creating a true digital twin requires a rare blend of expertise in IoT, AI, simulation, and software engineering. We bring all these capabilities under one roof.
Physics-Based & Data-Driven
Our digital twins combine physics-based simulation with real-time IoT data and AI, creating a comprehensive and predictive model of your assets and systems.
Lifecycle Integration
We build digital twins that provide value across the entire asset lifecycle, from initial design and construction to operation and decommissioning.
Actionable Insights, Not Just Visuals
Our focus is on creating digital twins that generate actionable insights, enabling you to make data-driven decisions that reduce costs and mitigate risks.
Seamless System Integration
We integrate digital twin platforms with your existing systems, such as PLM, ERP, and asset management software, for a unified view of your operations.
Proven Success with Digital Twins
See how we've helped industries model the future.
Challenge: A renewable energy operator needed to optimize the performance and maintenance of a large offshore wind farm, which was difficult and costly to access.
Solution: Aelius Venture developed a digital twin of the entire wind farm. Each turbine's twin was fed real-time data from IoT sensors. The platform simulated wind patterns and operational stress to predict component wear and recommend optimal blade angles for maximum energy capture.
Outcome: The digital twin enabled a shift from reactive to predictive maintenance, reducing maintenance costs by 30%. It also improved overall energy output by 8% through continuous operational adjustments, delivering a significant ROI.