Summary
- Profile Type
- Technology request
- POD Reference
- TRFR20250210041
- Term of Validity
- 10 February 2025 - 10 February 2026
- Company's Country
- France
- Type of partnership
- Research and development cooperation agreement
- Commercial agreement with technical assistance
- Targeted Countries
- Italy
- Austria
- Poland
- Morocco
- Switzerland
- Norway
- Romania
- Netherlands
- Belgium
- Germany
- Denmark
- Slovakia
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General information
- Short Summary
- French company offering a predictive maintenance software solution for industry, using artificial intelligence to analyse existing data without the need for new sensors. The French company is looking for partners from the world of research or industry with cutting-edge research infrastructures, teams specialising in data science and cyber-physical systems, and a network of industrial partners in Europe to test the solutions in real-life conditions.
- Full Description
-
The technology exploits existing data from equipment while significantly reducing integration costs. Using machine learning algorithms on heterogeneous datasets, the solution identifies complex patterns to anticipate failures and reduce unplanned downtime.
This approach guarantees proactive maintenance while extending the life of equipment and optimising its energy performance. Its compatibility with Industry 4.0 standards makes it a key tool for companies seeking to maximise productivity while integrating an eco-responsible approach. The French company is positioning itself as a major player in the digital transformation of the industrial sector.
The French company wants to work with:
- Industrial groups
- Companies operating in the manufacturing, energy, aeronautics or automotive sectors, with complex machinery requiring advanced maintenance.
- Competitiveness clusters and industrial clusters such as Made Different in Belgium or Smart Factory Alliance in Germany
- Applied research laboratories in artificial intelligence, data science...
- Universities with programmes in industrial engineering or data science / centres facilitating collaborative R&D. - Advantages and Innovations
-
The solution exploits data already available from equipment, eliminating the need for additional sensors and reducing installation costs.
Machine learning models analyse complex data sets, detect subtle anomalies and predict failures with great accuracy.
This French solution is compatible with various types of equipment and industrial environments, making it a versatile solution.
By minimising unplanned downtime and extending machine life, the technology optimises operational expenditure.
The solution promotes more sustainable operations by reducing unnecessary energy consumption. - Technical Specification or Expertise Sought
-
The French company is looking for partners from the world of research or industry with cutting-edge research infrastructures, teams specialising in data science and cyber-physical systems, and a network of industrial partners in Europe to test the solutions in real-life conditions.
- Development of advanced algorithms for more accurate detection of anomalies in industrial environments.
- Integration of the French company's solutions in simulated or real industrial environments to assess their performance.
- Development of results through pilot projects with partners.
Ideal framework: Co-development of advanced predictive maintenance algorithms integrating data from cyber-physical systems.
Partner's role: To provide an R&D framework, data science resources and industrial integration expertise.
Contribution from the French company: Provision of its technology and use cases to validate the solutions developed in real environments.
Expected involvement: the partner contributes its modelling know-how. The French company contributes its expertise in the field, enabling results to be shared and advances to be co-owned, strengthening their European competitiveness. - Stage of Development
- Already on the market
- Sustainable Development Goals
- Goal 9: Industry, Innovation and Infrastructure
- Goal 12: Responsible Consumption and Production
Partner Sought
- Expected Role of a Partner
-
The French company is looking for partners from the world of research or industry with cutting-edge research infrastructures, teams specialising in data science and cyber-physical systems, and a network of industrial partners in Europe to test the solutions in real-life conditions.
- Development of advanced algorithms for more accurate detection of anomalies in industrial environments.
- Integration of the French company's solutions in simulated or real industrial environments to assess their performance.
- Development of results through pilot projects with partners.
Ideal framework: Co-development of advanced predictive maintenance algorithms integrating data from cyber-physical systems.
Partner's role: To provide an R&D framework, data science resources and industrial integration expertise.
Contribution from the French company: Provision of its technology and use cases to validate the solutions developed in real environments.
Expected involvement: the partner contributes its modelling know-how. The French company contributes its expertise in the field, enabling results to be shared and advances to be co-owned, strengthening their European competitiveness. - Type and Size of Partner
- Big company
- R&D Institution
- University
- Type of partnership
- Research and development cooperation agreement
- Commercial agreement with technical assistance
Dissemination
- Technology keywords
- 01003008 - Data Processing / Data Interchange, Middleware
- 01004011 - Maintenance Management System
- Market keywords
- 02007011 - Manufacturing/industrial software
- 02007020 - Artificial intelligence programming aids
- 02006004 - Data processing, analysis and input services
- 02006005 - Big data management
- Sector Groups Involved
- Digital
- Targeted countries
- Italy
- Austria
- Poland
- Morocco
- Switzerland
- Norway
- Romania
- Netherlands
- Belgium
- Germany
- Denmark
- Slovakia