Asset Management Software

Maintenance Software For OEMs

With Elara’s white label solution, OEMs can offer their customers added value and strengthen customer loyalty.

Elara is an OEM-agnostic solution that integrates with all systems. It enables efficient maintenance process planning, optimal resource allocation, and transparency throughout the process.

Maintenance Software For OEMs
Elara’s white-label solution helps you achieve data-driven customer support

Elara’s white-label solution helps you achieve data-driven customer support

Many OEMs are faced with the problem that in-house solutions only run on their own machines or are designed exclusively for them. This means that the OEM loses valuable data, as customers can only use that in-house system superficially.

It’s becoming increasingly clear that the solutions offered are not sufficient for maintenance processes. That’s why OEMs are increasingly turning to Elara’s white-label solution as an alternative.

Elara is user-friendly maintenance software that provides valuable insights into the use of both own and third-party machines. It’s ideal for OEMs who want to establish data-driven customer support and expand their digital product portfolio.

How our white label solution works

We enable OEMs to use Elara as their own maintenance software. That means OEMs can adapt the design and functionality of Elara’s software to their brand guidelines and offer their customers a customized solution.

How our white label solution works

What other OEMs say about us

The decision to partner with Elara was an important milestone for BEUMER Group’s Customer Support team. With Elara’s user-friendly and intuitive maintenance software, we are able to gain valuable insights into asset performance and utilization, further improving collaboration with our customers, and allowing us to deliver proactive and data-driven customer support.

Henrik Olsson, Divisional Director, Customer Support at BEUMER Group

Benefits for OEMs

Capture relevant user and machine data directly from your customers and use these insights for data-based decisions in your customer support!