Both STEVE and AI4CSM explicitly involve embedded computing in vehicle contexts, from EV powertrains to AI-driven connected platforms.
VEM SOLUTIONS S.P.A.
Italian automotive embedded systems company specializing in electric vehicles and AI-driven connected mobility, based in Turin's automotive cluster.
Their core work
VEM Solutions is an Italian automotive engineering company based in Venaria, near Turin — Italy's historic automotive capital. Their work centers on embedded computing systems for vehicles, with demonstrated expertise in both electric light vehicles (L-category: e-mopeds, light quadricycles) and AI-driven connected mobility platforms. In EU projects they contribute as a technical specialist, bringing industry-grade embedded systems know-how to academic-industrial consortia. Their trajectory suggests they operate as a Tier 2 or technology supplier to the automotive value chain, bridging vehicle hardware and intelligent software layers.
What they specialise in
STEVE (2017-2021) focused specifically on Smart-Tailored L-category Electric Vehicle demonstration in urban use cases, a niche segment covering e-mopeds and light quadricycles.
AI4CSM (2021-2025) addresses secure connected, automated and cooperative mobility with AI systems for shared transport scenarios.
Zero pollution and sustainable propulsion appear as keywords in AI4CSM, and STEVE was built around electric drivetrain demonstration — both reflect a consistent clean mobility thread.
AI4CSM lists interaction between humans and vehicles as a focus area, pointing to UX and interface work within connected mobility systems.
How they've shifted over time
VEM Solutions entered H2020 through hands-on electric vehicle demonstration (STEVE, 2017), focusing on physical EV design and deployment for light urban mobility — a hardware-heavy, real-world testing role. By their second project (AI4CSM, 2021), the emphasis had visibly shifted toward software intelligence: AI, connectivity, automation, and cooperative mobility systems. This mirrors the broader automotive industry's pivot from electrification hardware toward software-defined vehicles. The trajectory is clear: they are moving up the value chain from component-level EV engineering toward AI and systems integration for connected transport.
VEM Solutions is transitioning from EV hardware specialist toward automotive AI and connected mobility systems — partners seeking expertise at the intersection of embedded computing and autonomous transport would find them increasingly relevant.
How they like to work
VEM Solutions has participated exclusively as a consortium member — never as coordinator — across both projects, indicating a preference for contributing specialist expertise within larger structures rather than leading programmatic work. Their 58 unique partners across just 2 projects suggests engagement in large, multi-stakeholder consortia (roughly 29 distinct partners per project), typical of EU transport and ICT demonstration programs. This profile is consistent with an industrial partner that provides specific technical components or testing capabilities, and is likely comfortable taking direction from an academic or large industrial project lead.
With 58 unique consortium partners across 14 countries from only 2 projects, VEM Solutions has a notably broad European network relative to their H2020 volume. Their geographic footprint spans at least half of EU member states, consistent with large-scale transport demonstration projects that require multi-country testing and validation partners.
What sets them apart
VEM Solutions sits inside the Turin automotive ecosystem — one of Europe's densest concentrations of automotive engineering talent and supply chain — giving them direct proximity to OEMs, Tier 1 suppliers, and test infrastructure. Unlike pure research institutes, they bring industry-facing embedded systems work, which makes them credible as a bridge between academic consortia and automotive production reality. Their dual track record in both physical EV hardware (STEVE) and AI-driven connected mobility software (AI4CSM) is relatively rare among SME-scale Italian participants and positions them well for projects requiring both layers.
Highlights from their portfolio
- STEVELargest single funding award (EUR 600,001) and one of few EU projects targeting L-category electric vehicles specifically, a commercially underserved niche between bicycles and cars with real urban mobility impact.
- AI4CSMAddresses the convergence of AI, automation, connectivity, and shared mobility in a single project — a forward-looking scope that spans nearly every strategic priority of the EU's transport digital transition agenda.