SciTransfer
Organization

EVIDENCE SRL

Italian SME building real-time OS tools, timing analysis, and model-driven development frameworks for safety-critical embedded and mechatronic systems.

Technology SMEdigitalITSMENo active H2020 projects
H2020 projects
7
As coordinator
0
Total EC funding
€1.8M
Unique partners
196
What they do

Their core work

EVIDENCE SRL is an Italian SME specializing in embedded systems software, real-time computing architectures, and model-driven development for cyber-physical systems. They build tools and platforms for parallel programming, timing analysis, and safety-critical software on heterogeneous hardware — helping manufacturers deploy intelligent motion control, predictive maintenance, and secure automated systems. Their work bridges the gap between high-performance computing research and industrial embedded applications, particularly in mechatronics and Industry 4.0 environments.

Core expertise

What they specialise in

Real-time embedded systems and RTOSprimary
4 projects

Core contributor across AXIOM, HERCULES, AMPERE, and ENABLE-S3 — all focused on real-time architectures, hypervisors, and low-power embedded computing.

Model-driven engineering and code synthesisprimary
2 projects

AMPERE centers on model-driven development frameworks with automated code synthesis and multi-criteria optimization for parallel computing.

Safety and security for automated systemssecondary
2 projects

SECREDAS and ENABLE-S3 address cyber security, safety validation, and dependability for highly automated systems.

Parallel heterogeneous computingemerging
2 projects

AXIOM and AMPERE explore agile I/O modules and energy-efficient parallel computation on heterogeneous hardware platforms.

Evolution & trajectory

How they've shifted over time

Early focus
Real-time embedded hardware-software platforms
Recent focus
Model-driven AI and digital twins

In their early H2020 period (2015–2018), EVIDENCE focused on hardware-software co-design for real-time embedded platforms — building fast I/O modules (AXIOM) and high-performance low-power architectures (HERCULES). From 2019 onward, their work shifted toward higher-level abstractions: model-driven development frameworks, automated code synthesis, digital twins, and AI-powered motion control (AMPERE, IMOCO4.E). This progression shows a move from infrastructure-level embedded systems toward intelligent, software-defined industrial applications.

EVIDENCE is moving toward AI-integrated model-driven development tools for Industry 4.0, making them a strong fit for future projects combining digital twins with edge computing and safety-critical automation.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European23 countries collaborated

EVIDENCE consistently operates as a specialized technical partner, never as coordinator across all 7 projects. They work in large ECSEL-type consortia (196 unique partners across 23 countries), which means they are experienced at integrating into complex multi-partner projects and delivering defined technical components. Their broad partner network suggests reliability and adaptability rather than dependence on a fixed set of collaborators.

With 196 unique consortium partners across 23 countries, EVIDENCE has one of the broader collaboration networks you'd expect from a specialist SME. Their participation in large ECSEL joint undertaking projects connects them deeply into the European embedded systems and electronics ecosystem.

Why partner with them

What sets them apart

EVIDENCE occupies a niche that few SMEs cover: they provide real-time operating system tools, timing analysis, and model-driven code generation for safety-critical embedded applications. While many companies work on either the hardware or the AI layer, EVIDENCE connects the two — making parallel heterogeneous hardware programmable and certifiable. For consortium builders, they bring deep RTOS and safety expertise that larger partners often lack in-house.

Notable projects

Highlights from their portfolio

  • AMPERE
    Largest recent investment (EUR 496,250) and most aligned with their strategic direction — model-driven frameworks for energy-efficient parallel computing with automated code synthesis.
  • AXIOM
    Their highest-funded project (EUR 596,000) and foundational work on agile I/O modules for cyber-physical systems that shaped their subsequent trajectory.
  • IMOCO4.E
    Most recent project (2021–2024) combining digital twins, AI/ML, and edge-to-cloud computing for intelligent motion control — signals their current capabilities.
Cross-sector capabilities
Manufacturing and Industry 4.0 — motion control, predictive maintenance, mechatronicsTransport — safety-critical embedded systems for automated vehiclesSecurity — cyber security for dependable automated systemsEnergy — low-energy computing and energy-efficient parallel architectures
Analysis note: Strong profile supported by 7 projects with clear thematic coherence. Early projects lack keyword data, so evolution analysis relies partly on project titles and descriptions. No website available for cross-referencing commercial activities.