We firmly believe that technology must adapt to each client's needs -and not the other way around. That is why we work at the intersection of consulting and technology solutions development, to transform your entire data value chain into customised and scalable platforms.
According to your specific needs and the industry you are in, we synthesise our distinct offerings in IoT, Advanced Analytics and Generative AI and “platformise” your operations, to create seamless data flows and automations with the maximum impact on your business.
Digital Twins can monitor equipment and machinery in real time, detecting anomalies and predicting failures before they occur.
By inputting diverse conditions and variables, the digital twin swiftly simulates multiple "what-if" scenarios.
Digital twins offer a risk-free testing ground for simulating upgrades, running different scenarios for each upgrade component.
The algorithmic representation of physical assets enables continuous data collection and analysis. By leveraging advanced analytics, Digital Twins identify patterns and potential issues before they escalate to critical damage.
This proactive approach reduces unexpected failures, minimises downtime, ensures timely maintenance interventions, and ultimately enhances the reliability and longevity of machinery.
Digital twin helps organisations tailor asset usage to achieve strategic and operational objectives, such as cost reduction, faster delivery, and increased productivity.
Digital Twins offer a holistic view of operations, facilitating real-time adjustments and data-driven decisions. This approach improves resource management, streamlines processes, and boosts overall efficiency, driving continuous improvement and operational excellence across the organisation.
This process identifies potential benefits and drawbacks, ensuring compatibility and performance improvements. By evaluating these simulations, organisations can strategically plan and implement technical enhancements. This leads to efficient and effective upgrades with minimised risks and disruptions.
Digital Twins support ongoing innovation, optimising machinery performance, and extending equipment life through well-informed upgrade strategies.
An industrial Digital Twin optimises production in manufacturing plants by collecting real-time data from machines' sensors and analysing it to create a virtual factory floor model. By simulating production scenarios and analysing performance metrics, it identifies bottlenecks, predicts equipment failures, and suggests process optimisations, enhancing overall efficiency.
A shipping company uses a Digital Twin solution for its fleet in the maritime sector. Onboard sensors collect real-time machinery data, and combine them with environmental and navigational input. The algorithm understands how the vessel should operate and has operated in the past, thus spotting any deviations from patterns and addressing early potential issues before they become critical.
1
Assessment and Planning
Understand client needs and define project goals.
2
Data Collection and Integration
Gather and integrate relevant data sources.
3
Solution Design & Proposal Submission
Present the platform prototype and finalise financial offer.
4
Implementation and Integration
Deploy the solution and integrate it with existing systems.
5
Real-Time Monitoring and Analysis
Continuously monitor data and analyse performance.
6
Predictive Analytics and Optimisation
Use predictive analytics to optimise operations.