From Reactive Problem-Solving to Proactive Optimisation:

Extracting Performance with AI.

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Every day, teams decide how to run their assets.

How hard to push a system.

When to intervene.

What settings to change.

Which trade-offs are worth making.

These operational decisions have a direct link to output, cost, reliability, and safety.

But the process behind them can be fragmented and inefficient due to the technology on hand.

Historically, teams have often needed to:

• Manually review data trends to find performance insights

• Collect data across different data sets, tools and systems

• Rely on rules of thumb or past experience under time pressure

• React to issues after they’ve already started to impact operations

These delays and disconnects are directly linked to technology limitations, impacting how efficiently engineering teams can improve output, reduce costs, or avoid failures.

Driving Smarter Operations

Every operation is trying to run better. Whether you're chasing higher output, fewer breakdowns, lower emissions, or better control - you're already adjusting, fine-tuning, and responding.

The challenge is: how do you do that with less manual effort, and greater impact over time?

From Raw Data to Ready Decisions

Engineers are surrounded by data and information. But that data often needs to be interpreted manually across different screens, systems, and tools before a clear decision can be made. When an existing system can’t keep, up or is not flexible enough, it can lead to ad-hoc spreadsheets and once-off analyses being created over time. This can restrict knowledge sharing across teams and ultimately, slows operational decisions down and introduce delays.

What’s needed is more advanced analytical tools that can help operations teams analyse data and make efficient, informed decisions across operational tasks. For example, in maintenance planning, this could mean preventing reliability issues or optimising control systems configurations.

This is the application of artificial intelligence (AI) or more specifically, machine learning, in the form of advanced performance optimisation and control solutions. Leveraging AI, not to replace engineering judgement, but to make the path from data to action faster, clearer, and based on real-world conditions.

Nexgineer™: Purpose-Built for Smarter Operational Workflows

SIG Machine Learning’s Nexgineer™ platform gives your operations team intelligent tools to act faster, smarter, and with greater consistency. It provides plug-in applications that support key workflows, including:

• Equipment Monitoring (Surveillance) – Assess equipment health and identify issues early to prevent unplanned downtime using real-time data.

• Performance Optimisation – Identify what’s holding your system back, and maximise performance in dynamic environments.

• Maintenance Prioritisation – Optimise preventative maintenance scheduling with advanced condition-based monitoring, to reduce cost and planned downtime.

• Intelligent Controllers (AI-APC) – Adjust controller systems continuously without manual tuning, using AI-augmented predictive controllers.

• Asset Management – Strategic insights into aggregate performance, to prioritise operational activities, constraints remediation and optimisation efforts.

Each tool combines data, analytics, and optimisation logic to help your team make better decisions faster in operational environments, without disrupting what already works.

Powering AI-Enabled Operations

Most software platforms give you tools and leave you to figure it out. We do the opposite.

We handle the complexity, so you can focus on the engineering.

We help you to define the problem, build the right models, validate, scale, and unlock the value with intuitive tools on Nexgineer™; integrating insights with your existing systems and workflows.

Whether you're managing complex networks, balancing trade-offs, or optimising live assets, Nexgineer™ gives your teams the tools to act faster and with more confidence.

Ready to Rethink Your Optimisation and Control?

If you’re interested in what it would look like to leverage AI/ML in your operations and implement analytical tools to drive efficiency and performance, we’re here to start the conversation.

Let’s show you what data-driven intelligence looks like in action. 👉 Request a walkthrough of Nexgineer™ →