Companies who trust us
3125 functional locations created for EAMS
28500 pieces of equipment on EAMS
6900 maintenance plans improved
210 problem solving’s done
5900 Bill of materials
200 skill audits/assessments done
400 planners, operators and artisans trained
215 Standard operating procedures created
12000 maintenance plans with failure causes task list on EAMS with resource levelling
And counting!

Clients who have trusted us
Our Approach
Reduce costs via maintenance cost reduction, reducing energy and input costs
Safety is a priority. Implement plans to ensure your workforce is safe and so is your business
Our aim is to help you uncover new avenues to improvement.
We work with you to understand the current state of your plant and EAMS, in order to help you take the next step towards streamlining your approach to maintenance.
We provide hands-on guidance to help you make sense of the maintenance-related analytics and performance metrics that will enable you to extend the life of your assets and reduce future maintenance costs.
With machine learning and IOT, the maintenance strategy used needs to change from preventative to predictive. Although preventative maintenance is still very relevant, predictive maintenance is the way of the future.
The goal is to utilise the data science approaches to predictive maintenance to reduce breakdowns and resource utilisation.
With improved data reliability productivity will increase with ease of use which is turn reduces MTTR (mean time to repair). Implemented correctly it can save you thousands on maintenance costs. Let us help you know when to predict when to perform maintenance.




