DeepDrive and Marple: Accelerating the Future of Electric Mobility

How DeepDrive uses Marple to turn high-frequency test data into engineering breakthroughs

In the race to redefine electric vehicles, speed isn’t just measured on the road—it’s in how fast you can learn, adapt and iterate. DeepDrive is on a mission to revolutionize EV motor technology. And in that mission, fast and reliable access to insights is critical. That’s where Marple comes in.

About DeepDrive

Based in Munich, DeepDrive is building the next generation of electric motors. Their patented Dual Rotor motor topology offers a radical leap in efficiency and performance. It enables EVs to go beyond 800 km of range, reduces manufacturing costs by over €1 billion at scale, and significantly cuts emissions over the vehicle fleet's lifetime.

Designed to be versatile, DeepDrive’s motors can be integrated directly into wheels or used as a central drive. This flexibility makes them attractive to a wide range of automakers aiming for innovation without compromising scalability.

The Data Challenge

With cutting-edge technology comes complex development. DeepDrive runs hundreds of tests on its motor prototypes—on test benches, in vehicles, and in simulation environments. Each test produces high-frequency telemetry data: signals for current, torque, temperature, RPMs, losses, and more.

Before Marple, managing and analyzing this data was a slow, manual process:

• Engineers downloaded files from different sources.
• Data was stored in inconsistent formats.
• Custom scripts were needed just to visualise basic results.
• Collaboration was limited—if you weren’t in the test, you lacked context.

This slowed down development. Critical insights were often delayed. And iteration speed suffered.

Enter Marple

DeepDrive adopted Marple to simplify and speed up their data analysis workflow. With Marple, engineers now plug their test data directly into an interface designed for engineering insight. Within minutes, they can:

• Visualize key performance signals
• Compare datasets across iterations
• Run custom calculations without scripting
• Share dashboards across the team

Michael Prommersberger, Software Engineer at DeepDrive, explains:

“Before, we had to dig through folders and run scripts to see results. With Marple, everything is there—units correct, signals labelled, visualised. I’ve never experienced this with any other tool.”

Day-to-Day with Marple

Marple is now embedded in DeepDrive’s daily workflow. Engineers use it to analyse motor behaviour across different configurations and test scenarios. From the test bench to real-vehicle trials, Marple enables them to:

• Quickly check if new designs improve torque or efficiency
• Spot anomalies in current draw or temperature
• Compare two test runs with aligned visuals and metrics
• Collaborate instantly—even when teams work remotely

With each iteration, engineers get answers faster—and move forward with confidence.

“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, Software System Engineering Lead at DeepDrive

The 4 Key Benefits for DeepDrive

1. Speed to Insight: Engineers go from raw data to meaningful conclusions in minutes, not hours. No scripting, no friction.
2. Better Collaboration: Teams share dashboards, annotate findings, and stay aligned—whether they ran the test or not.
3. Consistency Across Data: All signals are structured, correctly formatted, and visualized the same way—removing confusion and rework.
4. Flexible Analysis Without Dev Overhead: Engineers build their own calculations and dashboards without needing help from data specialists.

Conclusion

DeepDrive’s ambition is bold: change the core of electric mobility. To do that, they rely on fast feedback, clear data, and seamless collaboration. Marple delivers exactly that.

“Marple made our daily work so much easier. It’s the tool that lets us focus on what really matters—engineering better motors.” - Michael Prommersberger, Software Engineer at DeepDrive

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