AI & ML for Smarter Asset Management

AMiPU is SAS-AM’s advanced AI and Machine Learning platform, designed for offline, high-performance analytics powered by NVIDIA GPUs. It delivers predictive insights, automation, and real-time decision-making without relying on cloud connectivity, ensuring security and efficiency in asset management.

Of asset managers are planning to use AI within their strategies.
Of asset owners use AI for their asset management
The global AI in asset management market value

AI & Machine Learning at SAS-AM

At SAS-AM, we leverage Artificial Intelligence (AI) and Machine Learning (ML) to transform asset management. Our solutions provide predictive insights, automated decision-making, and data-driven optimisation, helping organisations improve reliability, reduce costs, and extend asset life.

MC/MCMC and Latin-Hypercube Simulations

We apply Monte Carlo (MC), Markov Chain Monte Carlo (MCMC), and Latin-Hypercube simulations to model complex asset behaviours. These simulations improve risk assessment, reliability predictions, and decision-making.

AI Enabled Demand Forecasting

Our AI-enabled demand forecasting predicts asset usage and resource needs with high accuracy. This supports better planning, reduces waste, and improves supply chain efficiency.

Failure Mode Clustering and Classification

AI-driven Failure Mode Clustering and Classification identifies patterns in failure data, helping organisations prioritise maintenance actions. This enhances risk management and reduces unexpected breakdowns.

AI-Enabled Supply Chain Risk Assessment

This service utilises sophisticated AI to thoroughly assess and predict risks within supply chains, enabling proactive management. By analysing patterns and trends, it foresees potential disruptions, ensuring a high level of supply chain resilience and reliability.

Deep Learning Asset Condition Forecasting,

Using Deep Learning, we predict asset condition trends based on real-time and historical data. This allows organisations to anticipate wear, allocate resources effectively, and improve long-term asset performance.

Natural Language Processing

We leverage Natural Language Processing (NLP) to extract insights from unstructured data, streamlining asset documentation, maintenance reports, and decision-making. NLP enhances data accessibility, reducing manual analysis time and improving efficiency.

AI-Driven Risk Analysis

Utilising advanced AI algorithms, this service dives deep into risk analysis by processing extensive datasets to uncover potential failure points and risk patterns. It enhances predictive maintenance strategies, ensures timely interventions, and notably reduces downtime, improving overall operational efficiency.

Machine Learning Predictive Maintenance

Our Machine Learning predictive maintenance models analyse historical data to forecast failures before they happen. This reduces downtime, optimises maintenance schedules, and extends asset life.

we work hard to deliver incredible value to our clients.

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Data-Driven Decision Making

AI-driven analytics detect early warning signs of equipment failure, allowing proactive maintenance. This minimises unplanned downtime, extends asset life, and reduces costly repairs.

Optimised Asset Performance

Machine Learning models analyse asset data to enhance efficiency and reliability. AI helps organisations adjust operations in real-time, ensuring peak performance with minimal resource waste.

Data-Driven Decision Making

AI processes vast amounts of asset data to provide real-time insights. This enables organisations to make informed, strategic decisions, reducing risks and improving long-term planning.

Cost Reduction & Efficiency Gains

AI automates manual asset management processes, cutting labour costs and reducing errors. By streamlining maintenance, inspections, and forecasting, AI improves overall operational efficiency.

Enhanced Sustainability & Compliance

AI helps organisations track and optimise energy use, emissions, and resource consumption. It ensures assets comply with regulations while supporting sustainability goals and reducing environmental impact.

Where theory meets execution

See how we’ve applied our ideas to generate generational changes within our comunity.

Validating, Evaluating and Planning: Department of Transport's Asset Condition Assessment Project (Phase 3)

Validating, Evaluating and Planning: Department of Transport's Asset Condition Assessment Project (Phase 3)

SAS-AM collaborated with the Department of Transport and Planning (DTP) to optimise the ACAP for Victoria's rail networks, improving accuracy and reducing costs. This effort also had a positive community impact, enhancing transportation services and promoting economic efficiency.
Revolutionising Asset Management SAS-AM's Pioneering Approach in DTP's Asset Condition Assessment Project (ACAP)

Revolutionising Asset Management SAS-AM's Pioneering Approach in DTP's Asset Condition Assessment Project (ACAP)

How should an organisation view 'condition'? Is there a single framework to determine asset condition or should we take a more practical and flexible approach?

FAQs

Learn more about what our clients ask us.

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Strategic Asset Management

Strategy and meticulous planning is foundational in asset management and encompasses comprehensive analysis, foresight, and structured approaches.

Building your best future with AI & ML for Smarter Asset Management

Shaping the conversations and future of nations, states and regions, we passionately guide stewards to think-well, act-smart and create life-changing impact. One asset at a time.

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