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DataPowa × DimoMaint MX

The power of CMMS meets the intelligence of spare parts optimization

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One interface, two complementary strengths:
DimoMaint MX, a European leader in maintenance management,
and
DPIM, DataPowa’s solution for optimizing MRO spare parts.
Now fully connected, to simplify daily work for maintenance and supply teams.

Why this partnership?

Industrial companies manage thousands of spare parts, often with intermittent demand and uncertain lead times.


DimoMaint MX structures maintenance processes, while DataPowa fine-tunes inventory parameters through advanced analytics and simulation.
 

Together, they bring automated, traceable, and economically optimal stock decisions directly inside your CMMS.

What you gain

How it works

The interface between the two solutions is built on the DimoMaint MX API

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About DimoMaint

DimoMaint is a European leader in Computerized Maintenance Management Systems (CMMS) delivered in SaaS mode.

With over 28 years of expertise and 2,500 clients worldwide, DimoMaint supports the digital transformation of organizations, from SMEs to large international groups, across all industries.

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Thanks to its mobile, scalable, user-friendly, and interoperable solutions, DimoMaint simplifies and secures the daily work of maintenance teams. Its platforms strengthen communication within and between departments and contribute to optimal asset management.

Driven by an innovative and pragmatic vision of maintenance operations, DimoMaint relies on strong R&D capabilities, the integration of emerging technologies, and a deep understanding of its customers’ operational challenges.

In a constantly changing environment, DimoMaint opens new perspectives and unlocks the full value of the maintenance function.

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With a strong international ambition, DimoMaint is expanding through a network of committed partners and continues its growth with the support of Keensight Capital, its majority shareholder since August 2025.

A partnership for smarter maintenance

By combining their expertise, DimoMaint and DataPowa make maintenance more predictive, inventory more accurate, and teams more confident.


Data becomes a real lever for performance, without changing the way you work.

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