Unlocking Performance in a Data-Driven World.
Modern industries generate vast amounts of data from sensors, systems, and simulations, offering immense potential for operational improvements.
Yet, extracting actionable insights, integrating diverse data sources, and adapting to dynamic conditions present major challenges for engineering and strategy teams. Without advanced tools, organisations risk inefficiencies, missed opportunities, and compromised performance.
At SIG Machine Learning, we're here to help with NEXGINEER™.
NEXGINEER™ is an advanced AI-powered platform designed to help teams in Energy, Mining, and Motorsports streamline operations, improve efficiency, and achieve measurable results.
AI Use Cases, Powered by NEXGINEER™:
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Intelligent Monitoring: Real-time insights to track and enhance system performance.
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Advanced Optimisation: Maximise efficiency and output with smarter solutions.
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Integrated Asset Management: Improve reliability and extend asset lifecycles.
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Intelligent Control: Data-driven automation for smarter decision-making.
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Predictive Maintenance: Proactively prevent downtime and failures with advanced foresight.
Empowering
Industries.
Why Leverage AI in Industry?
Turn Data into Insights, Effortlessly.
Find patterns and unlock opportunities for improvement - no complexity required.
Connect Your Teams with Actionable Intelligence.
Seamlessly align operational monitoring, optimisation, and maintenance with real-time data insights.
Optimise Performance, Minimise Effort.
Automated insights and managed improvements, so your team can focus on what matters most.
Empowering Your Team with NEXGINEER™
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Integrated Asset Management
Gain full oversight of the performance of assets and equipment across your operation, providing a clear picture of where you can improve efficiency and reduce costs.
Recent Success Story
Industrial AI Solution for Automated Optimisation
Overview
In an industry-first, SIG ML developed an intelligent controller for automated optimisation of oil & gas well fields. The AI-driven technology is now used to identify suboptimal conditions across a network of wellsites and recommend setpoints that require adjustment. This technology is now used multiple gas fields in Australia.
Results
This technology has delivered remarkable results. The system achieves 98% accuracy in recommending optimal setpoints, ensuring highly reliable automation of control adjustments. Engineers are now completing tasks in 30% of the time, achieving significant performance gains, reducing costs, and lowering emissions.
Recent inSIGhts
