We are all about Innovation
Cutting Edge Software and Hardware
We are finding new applications of our technology every day
iSPARK is a research-driven innovation company based in Belgium. A team of professionals with years of experiences in the plant floor, factory operations, pipelines, machinery maintenance have used their experience in creating solutions that solve the most critical problem in manufacturing and production facilities today. It is imperative that the manufacturing industry and production facilities stop being misguided by the Pseudo-Digital programs that are being propagated today as Digital and Industry X.0. This can happen only if all the manual data capture in the plant can be Digitized. And as a result empower the operators of the new generation with the tools to be productive and contribute to plant margin increase.
VALUE PROPOSITION
We strongly believe in delivering value to our customers in whatever we do. Most of our team members have delivered Millions of $s of value to Fortune 500 companies as well as smaller manufacturers in their lifetime through relevant solutions needed. With our flagship solution, currently available commercially, we focus on the following four aspects of plant improvement.
Increase Efficiency
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All our data collection eventually affects plant efficiency in some way or the other. The most popular outcome at this stage are yield or production improvements. See an example under the AI/ML case
Reduce Energy
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Energy reduction is the top priority of Industries and companies. Each company is looking for reduction in their energy footprint. We enable the real time tracking and analysis. See an example under Fleet Management
Increase Compliance and Safety
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Many data are captured by your operators today to ensure that process conditions are compliant with licencor conditions or standard operating procedure. An example of enforcing SOP can be seen under Round Sheets
Enhance Work Content
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Operators are the backbone of a manufacturing plant. As the Gen Z steps into these roles, it is critical that their job does not remain limited to going around “dumbly” collecting data. See a use case under Data Logger to explore empowering your operators