Technology
Using virtual scenarios that mimic real-world mining operations, test different strategies and see potential outcomes without any real-world risk. This includes simulating equipment performance, environmental impact, and operational changes.
Utilising our deep mining expertise and data science capabilities, combined with our internal full-stack development capability, idoba combines multiple modelling techniques and simulation/optimisation technologies to build products and customised solutions suitable for complex and dynamic challenges across the mining value chain.
Features
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Enhanced Decision Making
Model various operational scenarios, to provide insight into how changes in processes, resource availability, or environmental conditions impact overall performance, enabling more informed and resilient planning.
Captures individual decision-making and responses to changing conditions, providing insights into how equipment and systems behave.
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Scenario Testing and Trade-off Analysis
Simulate a wide range of "what-if" scenarios, such as changes in execution strategy, equipment downtime and trade-offs, to evaluate their impact on achieving operational and strategic goals.
Generate a full suite of scenarios in minutes, rapidly identifying the most sensitive inputs in the plan. Mitigate constraints and losses by analysing options and timing.
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Improved Productivity and Adaptability
Simulate and evaluate mine plans and processes, improve operations, mitigate risks, and achieve strategic goals, all while maintaining clarity and control over resource utilisation and execution strategies.
Improve prediction and planning capabilities and rapidly and robustly assess operational issues at a granularity that enables optimal solutions.
Dynamic Technology
A Virtual Playground
Mining operations are highly dynamic and complex, involving multiple interdependent processes. Traditional models struggle to account for the stochastic and non-linear nature of these systems.
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Agent Based Models excel in this environment by modelling individual components and their interactions, leading to more accurate predictions and better-informed decision-making.
A key benefit of Agent Based Models is that the mechanistic pathway for a specific outcome can be identified – effectively providing detail on the “Why?”. This enables potential corrective actions to be identified in a safe, virtual environment prior to implementation.
Model Production and Operational Scenarios
Build, maintain and control your models to manage production, costs, quality, energy and water use, optimise plans, identify bottlenecks and meet demand.
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A fast, robust, and user-friendly alternative to desktop tools and spreadsheets for modelling business drivers, enabling you to lower costs, increase sales, optimise operations, and uncover new opportunities.
Utilise a number of modelling techniques to find the best fit for your unique challenges.
Unlock Potential With Digital Twins
Cloud-based virtual models of mine operations, processes and systems integrating real-time data, analytics, and predictive modelling for informed decision-making, operational efficiency and resource optimisation.
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Our digital twins are designed to continuously learn and adapt, leveraging historical and real-time data from diverse sources, enabling stakeholders to simulate scenarios, predict outcomes, and uncover actionable insights. By combining intelligent systems, user engagement, and domain-specific expertise, the digital twin fosters a collaborative ecosystem that transforms raw data into strategic, value-driven solutions tailored to your challenges.
Optimise Complex Systems
Optimising outcomes for complex systems by employing a multi-faceted approach that integrates distributed, intelligent, and context-aware capabilities.
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Model intricate dependencies and workflows to provide in-depth analysis and insights into complex systems. By creating interconnected, data-driven models we can simulate the behaviour of complex systems in real-world conditions.
Our models are highly adaptive, allowing client-specific customisation while incorporating predictive analytics to identify inefficiencies and optimise resource use.
Integrate Your Data
No step in the value chain stands alone. Decisions thrive with an understanding of upstream and downstream effects. Integrate multiple data sources for enhanced insights without replacing current systems.
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Combine disparate data sources into a single source of truth, enabling accurate and real-time insights.
Increase efficiency by reducing the time and effort to manage disparate systems, ensure data consistency across different departments and systems and enhance decision making by providing a holistic view of operations.
Robust, Auditable and Secure Collaboration
Easily manage multiple, large, complex models centrally. Create a single version of the truth or multiple scenarios, then share and work with other stakeholders, wherever they are.
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Control versions and track changes, making it easy to see what’s different.
Enhance collaboration, customise reports, and share information across multiple stakeholders to eliminate security risks. ISO27001 certified to give you peace of mind.
Powerful Data Science Capability
Our powerful data science capacity transforms mining data into actionable insights, optimising efficiency, safety, and profitability.
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It integrates real-time and historical data into intuitive dashboards, enabling predictive maintenance, production optimisation, and scenario testing for better decision-making. By identifying bottlenecks and forecasting trends, Akumen helps streamline operations and resource planning.
Mining teams benefit from reduced downtime, improved ore recovery, and cost savings. Akumen enhances safety by predicting risks and ensures compliance with environmental standards. Its collaborative, accessible design empowers teams to work effectively, driving sustainable practices and competitive advantage in the industry.
Let’s Talk
Whether you're curious about our offerings, want to schedule a demo, or have a challenge you want to discuss, reach out to us anytime.
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