SciTransfer
Organization

MASERATI SPA

Italian luxury OEM bringing automotive validation and safety requirements to EU research in automated driving and edge computing.

Large industrial companydigitalITNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€573K
Unique partners
65
What they do

Their core work

Maserati is a Italian luxury and performance automobile manufacturer headquartered in Modena, Italy, with over a century of experience in high-end vehicle engineering. In the H2020 context, they participate as an industrial end-user and validation partner, contributing automotive requirements, test scenarios, and real-world deployment contexts to research consortia. Their involvement spans two distinct but complementary technology fronts: edge and cloud data architectures for connected vehicles, and programmable AI-driven systems for automated driving. As a premium OEM, they bring stringent safety and performance requirements that shape how academic and technology partners design their solutions.

Core expertise

What they specialise in

Automated driving systemsprimary
1 project

In PRYSTINE, Maserati contributed to programmable intelligence systems for automobiles, including AI, safety-critical embedded architectures, and sensor integration for autonomous vehicle functions.

Edge and cloud computing for automotiveprimary
1 project

In CLASS, Maserati was an industrial partner validating distributed big data analytics architectures covering edge computing, real-time data streams, and cloud platforms in automotive and smart city contexts.

1 project

PRYSTINE specifically targeted dependable, safety-critical embedded computing architectures — domains where Maserati brings automotive certification and functional safety demands.

Connected vehicle data platformssecondary
1 project

CLASS addressed combined data-in-motion and data-at-rest analytics, an architecture directly applicable to telematics, over-the-air updates, and vehicle fleet intelligence that Maserati can operationalize.

Evolution & trajectory

How they've shifted over time

Early focus
Edge cloud analytics for vehicles
Recent focus
AI embedded automotive systems

Both H2020 projects launched in 2018 and ran through 2021, so there is no meaningful chronological shift — the apparent keyword split reflects two parallel technology bets made simultaneously rather than a strategic pivot over time. In CLASS, Maserati engaged with distributed cloud-edge infrastructure for real-time analytics, while in PRYSTINE they worked on AI and programmable embedded systems for vehicle intelligence. Taken together, this suggests a deliberate dual-track strategy in 2018: build the data pipeline infrastructure (CLASS) and the onboard intelligence layer (PRYSTINE) as complementary investments in the connected and autonomous vehicle roadmap.

Maserati's simultaneous investment in both vehicle-side AI (PRYSTINE) and data infrastructure (CLASS) points toward a future collaboration interest in full-stack connected and autonomous vehicle solutions, particularly where safety certification meets real-time analytics.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European14 countries collaborated

Maserati participates exclusively as a consortium member and has never led an H2020 project, which is typical for large OEMs who engage EU research to de-risk emerging technologies rather than to build academic output. Across just two projects, they have accumulated 65 unique consortium partners spanning 14 countries, indicating they join large, multi-stakeholder RIA consortia rather than small bilateral partnerships. Working with Maserati likely means access to an automotive industrial validation context and premium vehicle requirements, but do not expect them to carry project management or reporting responsibilities.

Despite only two projects, Maserati has connected with 65 unique partners across 14 countries, reflecting the large consortium structures typical of ICT Research and Innovation Actions. Their network is geographically diverse across Europe with no single dominant partner country visible from available data.

Why partner with them

What sets them apart

Maserati is one of a very small number of premium automotive OEMs directly participating in H2020 ICT research, giving them a distinctive position at the intersection of luxury vehicle engineering and advanced digital systems. Unlike generic automotive Tier-1 suppliers, they bring brand-level validation weight and the specific performance, reliability, and safety standards of a high-end OEM — requirements that push research partners to higher technical thresholds. For consortium builders in automated driving or connected vehicle projects, Maserati represents an industrial anchor that adds credibility and a real deployment target.

Notable projects

Highlights from their portfolio

  • PRYSTINE
    The largest single-project insight into Maserati's R&D priorities — programmable AI and safety-critical embedded systems for autonomous vehicles, directly aligned with their product roadmap for next-generation Maserati models.
  • CLASS
    Highest-funded project at EUR 519,405, addressing edge-cloud big data architectures with direct applicability to connected vehicle telematics and fleet intelligence at automotive scale.
Cross-sector capabilities
transport and automotive mobilitymanufacturing and industrial IoTsmart cities and urban data infrastructure
Analysis note: Only 2 projects, both launched in the same year (2018), severely limits temporal trend analysis. The early/recent keyword split reflects parallel projects, not genuine evolution. Maserati's true R&D depth and internal technical capabilities cannot be inferred from this dataset alone — their role as an industrial end-user means the research output belongs to academic and technology partners, not to Maserati directly. Profile should be treated as indicative rather than definitive.