SciTransfer
Organization

ISADEUS

Paris SME bridging product-service system design and predictive maintenance for industrial manufacturers across Europe.

Technology SMEmanufacturingFRSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€285K
Unique partners
21
What they do

Their core work

ISADEUS is a Paris-based technology SME working at the intersection of product-service system design and industrial asset management. In the FALCON project, they contributed to building feedback mechanisms that capture real-world customer usage data across a product's lifecycle, enabling manufacturers to continuously improve product-service offerings based on actual field performance. In UPTIME, they were part of a larger effort to unify predictive maintenance across industrial assets — integrating condition monitoring, failure prediction, and maintenance scheduling into a single operational platform. Their value to consortia lies in bridging the gap between service design methodology and practical industrial implementation.

Core expertise

What they specialise in

Product-service system (PSS) design and lifecycle feedbackprimary
1 project

FALCON (2015–2017) focused specifically on customer-driven feedback mechanisms across the full product-service lifecycle in manufacturing contexts.

Predictive maintenance systemsprimary
1 project

UPTIME (2017–2021) was an Innovation Action building a unified predictive maintenance platform — ISADEUS received EUR 219,188, their largest H2020 grant.

Industrial data integration and operational intelligencesecondary
2 projects

Both FALCON and UPTIME require collecting and processing operational data from industrial assets or customer touchpoints to drive decision-making.

Manufacturing service innovationsecondary
2 projects

Both projects sit within the Manufacturing pillar and involve transforming raw operational data into service improvements or maintenance actions.

Evolution & trajectory

How they've shifted over time

Early focus
Customer-driven product-service optimization
Recent focus
Unified predictive maintenance systems

ISADEUS entered H2020 through FALCON (2015–2017), a research action focused on the upstream design challenge — how do you systematically capture what customers experience and feed that back into product-service improvement? Their second project, UPTIME (2017–2021), shifted toward the downstream operational challenge — how do you predict equipment failures before they happen and unify maintenance planning across an industrial facility. The trajectory moves from service design methodology to real-time operational intelligence, suggesting growing engagement with industrial IoT and data-driven operations rather than design theory alone.

ISADEUS is moving from service design research toward applied industrial maintenance intelligence — making them increasingly relevant to manufacturers investing in Industry 4.0 and asset performance management.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European10 countries collaborated

ISADEUS has participated exclusively as a consortium partner across both projects, never taking a coordination role — which is typical for a small SME bringing specific technical or methodological expertise into larger research efforts. With 21 unique partners across just 2 projects, they consistently join medium-to-large consortia (roughly 10–11 partners per project), suggesting they are comfortable operating within complex multi-partner structures. This pattern indicates they contribute a defined, bounded piece of the work rather than driving the overall agenda.

ISADEUS has built connections with 21 distinct consortium partners across 10 countries through only 2 projects — an unusually broad network for such a small participation footprint. Their reach is pan-European, with no evidence of geographic concentration.

Why partner with them

What sets them apart

ISADEUS occupies a specific niche that combines service design thinking (PSS, lifecycle feedback) with operational manufacturing intelligence (predictive maintenance) — a combination rarely found in a single SME. For a consortium builder, they offer the perspective of a small, agile French company that can bridge the gap between how a product-service is designed and how it actually performs in the field. Their relatively high UPTIME funding (EUR 219,188) for an SME in a participant role suggests they were trusted with substantive technical responsibility, not just advisory input.

Notable projects

Highlights from their portfolio

  • UPTIME
    ISADEUS's largest H2020 grant (EUR 219,188) in an Innovation Action — the shift from research to implementation signals real industrial deployment experience in predictive maintenance.
  • FALCON
    An early-stage RIA addressing the underexplored challenge of closing the feedback loop between customer field experience and product-service redesign in manufacturing.
Cross-sector capabilities
Transport and mobility (vehicle fleet maintenance and asset management)Digital industry (industrial IoT, operational data platforms)Energy (power plant and grid asset maintenance optimization)
Analysis note: Only 2 projects, no keyword data, and no website. The profile is inferred entirely from project titles, acronym expansions, and funding scheme types. ISADEUS's specific technical contributions within each consortium — their actual software, methods, or deliverables — are unknown. Treat all expertise claims as directional, not definitive.
More in Manufacturing & Industry 4.0
See all Manufacturing & Industry 4.0 organizations