The expensive problem we solve
Billions of devices, some often mission critical, depend on manual greasing by machine operators. This century old manual lubrication process still has not been updated. Operators receive no lubrication feedback and no machine data, causing under- and over-lubrication. This is costing companies millions of dollars a year in downtime and repairs.
Hyper intelligentmanual greasing
Provide your operators with smart tools to fully support them during lubrication activity and expand their vision with insights in the machine status.
Fastest improvement of your uptime and/or OEE
Harvest the power of unprecedented data to boost your machine availability.
Plug & play+ low to no training
By using innovative IIoT technology, the solution allows an easy and fast installation with minimum training required for use.
The intelligent grease fitting appears like a classic grease fitting but is equipped with electronics to provide a unique ID and a built-in temperature sensor to the fitting.
Any existing grease fitting can easily be replaced by our intelligent grease fitting.
- Super strong- Miniaturized- Zero maintenance (no internal battery)
The intelligent grease head allows real-time communication with the operator. By changing the colors in the transparent head, the operator is guided to perform in the most optimal way. Secondly, all activities are registered including machine data such as pressure and temperature.
Makes the lubrication process smart by detecting and interacting on:- timestamp(s)- smart nipple ID- flow- pressure- temperature- GPS location (outside use)
Plan, organise and stay on top of how and when lubrication activities have been performed. Create predictive insight in equipment status:
Organise and combine lubrication task in the best possible way, by using a graphical plant layout.
- Reporting on the quality of manual lubrication activities. - Reporting on equipment status- Deviation reporting- Create predictive insights based on data gathered from the equipment during greasing- API for software integration
Analysis of your business case
Together, we will discuss your business case and identify how Grizit can be an asset for your business case. First we look at the current practice and organization of the maintenance tasks. Secondly we mindmap a preferred situation and analyze how to integrate intelligent lubrication.
Your business case
Return on Uptime
Offer and order
Set-up and training
Operate & service
Operators become lubrication experts with direct support and feedback from the greasing activity. Managers get feedback from human activity and machine status to prevent mechanical downtime.
Maintenance or Reliability manager
Get detailed information on the daily lubrication activity and optimize its efficiency. Get unprecedented insights in correlations between machine status and grease quality.
Get the maximum up-time out of your equipment. Avoid production loss due to unforeseen equipment failure.
Technician or Operator
You are a crucial link in the process towards obtaining maximum reliability. Grizit will provide you with smart tools to support you.
Rohalt Degeest FounderCEO
Rohalt Degeest has 16 years of B2B experience in industrial digitization and engineering. Over the past 6 years, he has built a Belgian office for a Dutch engineering company. Previously, he was actively involved in the internationalization of a Belgian SME for their MES and MOM software platform and helped build the Belgian entity for a Dutch distributor of GE Fanuc Industrial Software Solutions.Based on his experience with software and digital applications, Rohalt supplied Grizit with the input to develop a hands-on, performant solution fully tailored to the needs of the maintenance industry.
David DuerinckxFounderLead Designer
David Duerinckx has 30 years of experience in maintenance. When David was responsible for process reliability and maintenance, he noted that there was often a low level of commitment to the performance of lubrication tasks. Manual lubrication provides no insights into the status of the equipment nor the quality of lubrication. David identified the need to monitor manual lubrication tasks which would promote operator involvement.Over the years, David has also built up strong mechanical expertise that is used for production optimization. In recent years he has focused more on inventing, developing and implementing tailor-made equipment.