Wall of Integration

Customer cases

Gapit has since establishment in 2016 focused on high customer satisfaction and has established many long-established and good relations with its customers.

Our solutions deliver data from millions of integration points, some located far beneath the ground, some behind high security, and some in a parking lot offering charging of electric cars. Our solutions know no limit and can be implemented in infrastructures containing an infinite number of integration points, or infrastructures with few, but critical integration points. Our span of projects is wide, and we are proud of all our already implemented services, some of which are found below.


01 Digiplex02 BaneNOR
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INTRODUCTION

DigiPlex has been operating in the Nordic region since 2001 and is today the leading data center builders and operators in Europe with offices in Norway, Sweden, and the UK.

LAYING THE FOUNDATION

Gapit’s solutions are currently implemented in several of Digiplex's locations. The data is stored in a data lake, forming the foundation for monitoring and analysis.

ONWARDS AND UPWARDS

We take great pride in working with Digiplex. Their innovative mindset and their wish to challenge the industry standard fit well with Gapit's vision. Our scalability makes it possible to meet their desire to treat data right and fully utilize the power of data collection.

"It’s imperative with high quality data to make the right decisions, and Gapit have proved to be a good partner to harvest and process these data from some of our key systems."

- Pål Rune Viken, Operations Manager

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INTRODUCTION

Bane NOR's mission is to ensure accessible railway infrastructure and efficient and user-friendly services, including the development of hubs and goods terminals.

MONITORING OF SIGNALLING INFRASTRUCTURE

Gapit is humble to be able to contribute to BaneNOR’s national transport system. Their wish to tackle problems in new ways is met by tailor-made solutions to fit with the railroads unique system. Our collaboration has led to more predictive operation and earlier recognition of events, as seen in the article: https://www.tu.no/artikler/her-tester-de-systemet-som-vil-gi-faerre-togforsinkelser-i-framtiden/416901