FALCON (2015–2017) focused specifically on customer-driven feedback mechanisms across the full product-service lifecycle in manufacturing contexts.
ISADEUS
Paris SME bridging product-service system design and predictive maintenance for industrial manufacturers across Europe.
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.
What they specialise in
UPTIME (2017–2021) was an Innovation Action building a unified predictive maintenance platform — ISADEUS received EUR 219,188, their largest H2020 grant.
Both FALCON and UPTIME require collecting and processing operational data from industrial assets or customer touchpoints to drive decision-making.
Both projects sit within the Manufacturing pillar and involve transforming raw operational data into service improvements or maintenance actions.
How they've shifted over time
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.
How they like to work
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.
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.
Highlights from their portfolio
- UPTIMEISADEUS'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.
- FALCONAn early-stage RIA addressing the underexplored challenge of closing the feedback loop between customer field experience and product-service redesign in manufacturing.