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Organization

PARTICLE SRL

Italian technology SME delivering data analytics, predictive maintenance, and digital services as a third-party specialist in H2020 manufacturing and energy pilots.

Technology SMEmanufacturingITSMENo active H2020 projectsThin data (2/5)
H2020 projects
3
As coordinator
0
Total EC funding
Unique partners
42
What they do

Their core work

PARTICLE SRL is a small Italian technology firm based in Orbassano, near Turin's industrial belt. Across three H2020 projects they contributed specialized technical services as a third party — meaning they were subcontracted by consortium partners to deliver specific components rather than leading research themselves. Their work covers data analytics toolboxes, predictive maintenance algorithms, and human-machine interaction in manufacturing. They sit at the intersection of industrial software and data services, supporting larger partners who need a targeted digital capability.

Core expertise

What they specialise in

Data analytics toolboxes for large-scale pilotsprimary
1 project

BD4OPEM (2020-2023) explicitly names Analytic Toolbox, Services, and Large-scale pilots among their contributions.

Human-automation interaction in manufacturingsecondary
1 project

MANUWORK (2016-2020) worked on balancing human and automation levels in manufacturing workplaces.

Smart energy systems and SGAMemerging
1 project

BD4OPEM keywords include SGAM (Smart Grid Architecture Model), signaling a move into energy sector digitalization.

Evolution & trajectory

How they've shifted over time

Early focus
Manufacturing automation services
Recent focus
Energy data analytics platforms

In 2016-2017 they joined manufacturing-focused projects (MANUWORK, PROGRAMS) addressing shop-floor topics: human-automation balance and predictive maintenance. By 2020 they had pivoted into the energy domain via BD4OPEM, contributing analytic toolboxes and SGAM-aligned services to an open energy marketplace. The trend is a shift from physical manufacturing environments toward cross-sector digital platforms.

Moving from shop-floor manufacturing software toward data-driven services for the energy and smart-grid sector.

Collaboration profile

How they like to work

Role: third_party_expertReach: European11 countries collaborated

They consistently appear as a third party rather than coordinator or full consortium partner, meaning they are contracted by other participants for specific deliverables. All three projects were large consortia with an average of 14 partners each. This positions them as a specialist supplier rather than a research-leading organization — useful when you need a concrete technical component delivered without reshaping the consortium.

Linked to 42 distinct consortium partners across 11 European countries through three projects. No single repeat-partner pattern is visible, suggesting project-by-project engagements rather than a loyal network.

Why partner with them

What sets them apart

Unlike Italian research institutes or university labs, PARTICLE SRL operates as a commercial technology supplier that plugs into existing consortia. Their dual footprint in manufacturing (MANUWORK, PROGRAMS) and energy digitalization (BD4OPEM) makes them useful for projects that need practical software tools delivered on schedule. If you need a specialist subcontractor for analytics or maintenance algorithms rather than a full research partner, they fit that slot.

Notable projects

Highlights from their portfolio

  • BD4OPEM
    Their most recent and best-documented project; positioned them in the open energy data marketplace with explicit analytics toolbox contributions.
  • PROGRAMS
    Focused on prognostics-based reliability — a valuable skill for any Industry 4.0 or predictive maintenance consortium.
  • MANUWORK
    Tackled the human side of factory automation, giving them exposure to human-factors requirements in manufacturing.
Cross-sector capabilities
digitalenergyindustrial IoTpredictive maintenance services
Analysis note: Low-confidence profile. PARTICLE SRL participated as a third party in all three projects with no direct EC funding recorded, no public website available, and keyword metadata present only for BD4OPEM. Claims about expertise rely on project titles and the single keyword set; a scientist or business should verify capabilities directly before engagement.
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