How to scale machine learning to maximise the benefits
IntelliAM is already working with half of the world’s top 10 food and drink companies. Many of the manufacturing giants have chosen to partner with IntelliAM to unlock the value of their assets and redefine productivity.
Our pioneering machine learning platform uses AI to access billions of data points per month. At IntelliAM, building on the strong technical foundations and manufacturing expertise of 53North, our advanced algorithms analyse data in real-time to optimise asset performance and minimise downtime.
Your Six-Step AI Journey

We’ve developed a six-step journey to provide business insights and significant value through the scaling of the platform. Each step will be supported and effectively communicated, ensuring everyone in the business is brought along on the journey together.
Step 1
Machine Readiness Survey
A telematic review of data and IT protocols to determine how AI ready the site is and determine the safest and optimum method for ingesting data and realising the benefits.
Step 2
Proof of Value
A chosen study to demonstrate operational or reliability-based improvements, allowing for customisation before wider roll out.
Step 3
Reliability
Harnessing of IOT/sensors will be used to mitigate key asset failure modes. Numerous parameters can be layered to create predictive maintenance baselines and alarms for advanced PdM/CBM solutions.
Step 4
Decipher
Linking process parameters alongside reliability data allows us to contextualise the data, leading to the most advanced PdM/CBM solution.
Dynamic alarming can be created removing false positives, allowing sites to monitor equipment typically outside the capability of PdM/CBM programs, as well as providing total asset care, rather than focusing on individual components.
Step 4 allows us to decipher numerous process and sensor inputs, taking reliability and asset management beyond human comprehension.
Step 5
Productivity
Ingesting data from entire production lines and systems allows us to create self-learning models that optimise and govern line performance.
This means optimum run speeds, flow rates or other tolerances can be found to boost OEE performance.
Step 6
Network Improvements
Once the factory data is mapped out. Data Science Studies, Supply Chain Assessments or Efficiency Monitoring can be used to determine the impact on performance.
Therefore forecasting, buying and operating efficiency insights modules can be created within the platform to provide further competitive advantage.
Transformational Benefits
With companies under constant pressure to raise productivity and reduce energy consumption, it’s imperative that assets work harder, and individual dependency is reduced. The answer to greater productivity, reduced waste, energy saving, and improved profitability lies deep within plant and machinery.
Combining engineering excellence with next-generation technology, IntelliAM unlocks data through machine learning and AI to deliver unprecedented gains and a future-proof infrastructure.
Unleashing information from billions of data points, then layering and contextualising this data, provides transformational insights. Assets can be maintained precisely when needed, extending their lifespan, and reducing maintenance costs.


Machine PLCs, SCADA systems, Historians and Sensory, or IoT devices – such as vibration, oil temperature, energy usage, machine alarms, liver performance, and more – are all potential inputs and rich sources of information. We support the safe injection of data and can provide a range of reliable sensors, that have passed the rigorous quality checks at our in-house testing facility.
With a wealth of data at your fingertips, our customers are empowered to make data-driven decisions, risks are minimised, and businesses gain a competitive edge.
Technical convergence is increasing organisational competitiveness, but AI must be used proactively and scaled effectively to be successful.
In a dynamic and ever-changing marketplace, manufacturing is no longer an art but a science.
A new revolution is upon us.
Long-Term Support
At IntelliAM, we pride ourselves on providing dedicated and responsive customer support. We’re always on hand to help, and our customers benefit from:
24/7 Monitoring & Incident Response
Proactive Monitoring
Continuous real-time monitoring to detect and address issues before they impact operations.
Guaranteed Response Times
For critical issues, response within 1 hour during business hours. For normal tickets, response within 4 hours.
Multi-Channel Support
Phone & Email Support
Accessible through phone and email with guaranteed response times.
Live Chat
Instant troubleshooting via live chat during business hours.
Performance & Feedback Tracking
Call & Ticket Analytics
Detailed reports on response times, resolutions rates, and customer satisfaction.
Feedback Integration
Embedded feedback forms in the product for continuous service improvement.
Contact Us
We’re here to help, our team of experts are on hand to answer your questions.