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Customer Feedback

Businesses already empowering their data

Hear from our customers how Marple’s solutions have transformed their operations, enhanced performance, and accelerated innovation across various industries. Real-world success stories from trusted partners.

See our Customer Stories

Marple helped us make quick data-driven decisions on complex setup parameters and heavily reduced downtime during testing.

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Max Ritzer

DAQ Engineer

TUG Racing

Marple simplifies collaboration between engineers. Also, thanks to being a central storage for measurement data, DeepDrive got rid of different locations to store data

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Christopher Roemmelmayer

Software System Engineering

DeepDrive

Marple is without doubt the champion in engineering data visualisation. It’s fast, easy to use and focuses on the features I need. Their customer support is super responsive.

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Wouter Plaetinck

Flight Test Engineer

Lilium

Deploying Marple into our infrastructure was a smooth and seamless process. The team has been incredibly responsive and collaborative in shaping the solution with us.

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Gregor Hannappel

Senior Data Engineer

Vertical Aerospace

At Hardt Hyperloop, Marple is the point of reference whenever we need multiple eyes looking at a problem. Just a quick share and colleagues can look at exactly the data in question. This is a game changer in data-driven development!"

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Gert Spek

Lead Engineer

Hardt Hyperloop

We use Marple dashboards right after the flight. Everyone sees the data and can take action fast, it keeps the test program moving.

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Stephen Hardiman

Flight Test Engineer

Vertical Aerospace

Having all data immediately available and accessible for our engineers was a major step forward. Engineers on and off track could follow what was happening with the car and make decisions in real-time

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Robbin Baauw

Embedded Software Engineer

FS Team Delft

The use of projects in Marple and the option to visualise databases dynamically, has made our life much easier.

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Tine Wildiers

Race Strategist

Innoptus Solar Team

At Vertical we use Marple to analyse our rig and flight test data. Marple is the perfect tool for the job: Marple’s interface allows people of varying technical ability to work together using the same tools while not skimping on the in-depth analysis functions users need.

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Samuel Meijer

Software Engineer

Vertical Aerospace

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Businesses already empowering their data

Marple helped us make quick data-driven decisions on complex setup parameters and heavily reduced downtime during testing.

Max Ritzer

Marple simplifies collaboration between engineers. Also, thanks to being a central storage for measurement data, DeepDrive got rid of different locations to store data

Christopher Roemmelmayer

Marple is without doubt the champion in engineering data visualisation. It’s fast, easy to use and focuses on the features I need. Their customer support is super responsive.

Wouter Plaetinck

Deploying Marple into our infrastructure was a smooth and seamless process. The team has been incredibly responsive and collaborative in shaping the solution with us.

Gregor Hannappel

At Hardt Hyperloop, Marple is the point of reference whenever we need multiple eyes looking at a problem. Just a quick share and colleagues can look at exactly the data in question. This is a game changer in data-driven development!"

Gert Spek

We use Marple dashboards right after the flight. Everyone sees the data and can take action fast, it keeps the test program moving.

Stephen Hardiman

Having all data immediately available and accessible for our engineers was a major step forward. Engineers on and off track could follow what was happening with the car and make decisions in real-time

Robbin Baauw

The use of projects in Marple and the option to visualise databases dynamically, has made our life much easier.

Tine Wildiers

At Vertical we use Marple to analyse our rig and flight test data. Marple is the perfect tool for the job: Marple’s interface allows people of varying technical ability to work together using the same tools while not skimping on the in-depth analysis functions users need.

Samuel Meijer