Predictive and proactive maintenanceprimary
2 projects
Core contributor in TWIN-CONTROL (proactive maintenance, fleet-based knowledge) and InterQ (data reliability, process optimization).
Organization
PREDICT SAS
French SME delivering predictive maintenance, digital twin, and AI-driven quality solutions for manufacturing and space sectors.
Technology SMEmanufacturingFRSMENo active H2020 projects
H2020 projects
3
As coordinator
0
Total EC funding
€1.2M
Unique partners
40
What they do
Their core work
PREDICT is a French SME specializing in predictive maintenance and data-driven manufacturing optimization. They develop software and analytics solutions that help manufacturers monitor machine health, anticipate failures, and improve production quality. Their work spans from machine tool simulation and energy-efficient control systems to digital twins and zero-defect manufacturing frameworks, with a recent expansion into data science for space applications.
Core expertise
What they specialise in
Digital twin and simulation for manufacturingprimary
2 projects
Worked on machine tool-process simulation in TWIN-CONTROL and digital twin approaches in InterQ.
Zero-defect manufacturing and data qualitysecondary
1 project
InterQ focused specifically on interlinked process, product, and data quality for zero-defect manufacturing.
Manufacturing data science and AIemerging
2 projects
SESAME applied data science to space access operations; InterQ incorporated AI and virtual sensors for quality control.
Supply chain traceabilityemerging
1 project
InterQ addressed supply chain traceability using distributed ledger technology alongside manufacturing quality frameworks.
Evolution & trajectory
How they've shifted over time
Early focus
Machine tool simulation and maintenance
Recent focus
Data quality and zero-defect manufacturing
PREDICT started in traditional manufacturing simulation — their early work (TWIN-CONTROL, 2015-2018) centered on machine tool modeling, energy efficiency, and fleet-based maintenance knowledge. By 2019-2023, their focus shifted decisively toward data-driven quality assurance: digital twins, AI-powered defect detection, data reliability frameworks, and even distributed ledger for traceability. The SESAME project (2019-2022) also shows a deliberate expansion beyond factory floors into data science for space operations, suggesting growing ambitions in cross-sector analytics.
PREDICT is moving from physics-based simulation toward AI and data science for manufacturing quality assurance, making them increasingly relevant for Industry 4.0 and smart factory initiatives.
Collaboration profile
How they like to work
Role: specialist_contributorReach: European13 countries collaborated
PREDICT has participated exclusively as a partner, never as coordinator, across all three H2020 projects. With 40 unique consortium partners across 13 countries, they operate in medium-to-large consortia and bring specialized capabilities rather than leading project management. This profile suggests a reliable technical contributor that integrates well into larger teams without requiring a leadership role.
PREDICT has built a broad European network of 40 partners across 13 countries through just three projects, indicating involvement in sizeable, multinational consortia. Their base in Nancy (northeast France) positions them well for collaboration with both Western and Central European manufacturing clusters.
Why partner with them
What sets them apart
PREDICT sits at an unusual intersection: they combine deep manufacturing domain knowledge (machine tools, production lines) with strong data science and AI capabilities. Unlike pure software companies, they understand the physical processes they're modeling. Their track record in both predictive maintenance and zero-defect manufacturing makes them a compelling partner for any consortium that needs to bridge the gap between factory floor operations and data-driven decision-making.
Notable projects
Highlights from their portfolio
- InterQAddresses the full chain from data quality to product quality using AI, digital twins, and distributed ledger — the most technically ambitious of their portfolio.
- SESAMETheir largest funded project (EUR 458K) and a bold cross-sector move applying manufacturing data science to European space access operations.
Cross-sector capabilities
Space operations and launch systems analyticsSupply chain management and traceabilityIndustrial IoT and sensor data processingEnergy efficiency in industrial processes
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