All three projects (ADACORSA, DAIS, AI4CSM) involve embedded computing, distributed AI, or on-device intelligence for autonomous systems.
INNATERA NANOSYSTEMS BV
Dutch semiconductor SME building ultra-low-power neuromorphic processors for edge AI in autonomous vehicles, drones, and connected mobility.
Their core work
Innatera Nanosystems is a Dutch semiconductor SME specializing in ultra-low-power neuromorphic processing chips designed for always-on sensing and edge AI applications. Within H2020, they contribute embedded computing and AI hardware expertise to large consortia working on autonomous vehicles, drones, and connected mobility systems. Their role centers on enabling real-time, energy-efficient AI inference at the edge — the kind of processing needed when cloud connectivity is unavailable or too slow for safety-critical decisions in transport and automotive domains.
What they specialise in
AI4CSM focuses on connected shared mobility and ADACORSA on resilient architectures for drones and automated vehicles.
DAIS explicitly targets trustable AI, safety, reliability, and security in distributed AI systems.
ADACORSA addresses airborne data collection with resilient system architectures for drones.
How they've shifted over time
Innatera entered H2020 in 2020 through ADACORSA, focused on resilient system architectures for drones and automated vehicles — essentially proving their hardware in airborne and vehicular contexts. By 2021, their participation shifted toward distributed AI systems (DAIS) and automotive-specific embedded computing (AI4CSM), with keywords like trustable AI, interoperability, cross-domain reusability, and secure connected mobility appearing prominently. The trajectory shows a clear move from component-level resilience toward system-level AI integration and trustworthiness in mobility applications.
Innatera is moving from proving their hardware in niche aerial applications toward becoming an embedded AI component provider for the broader European automotive and connected mobility ecosystem.
How they like to work
Innatera operates exclusively as a participant, never as coordinator — typical of a focused hardware SME that contributes specialized technology components to large research consortia rather than managing them. With 120 unique partners across 21 countries from just 3 projects, they work in very large consortia (likely 30-50 partners each), which is common in ECSEL/KDT-type joint undertaking projects. This means they are well-networked but in a supply-chain contributor role rather than a project leadership role.
Despite only three projects, Innatera has built a remarkably wide network of 120 partners across 21 countries, reflecting the large-scale ECSEL/KDT-style consortia they participate in. Their network spans most of the EU, giving them exposure to major automotive and semiconductor players across Europe.
What sets them apart
Innatera occupies a rare niche as a European SME developing neuromorphic processing hardware — most competitors in this space are US-based or large corporations. For consortium builders, they bring actual silicon-level AI acceleration expertise, not just software, which is critical for projects requiring real embedded computing demonstrations. Their participation in three major mobility-AI projects gives them practical integration experience that pure-research chip startups typically lack.
Highlights from their portfolio
- DAISLargest funding (EUR 239,250) and broadest scope — Distributed Artificial Intelligent Systems covering trustable AI, security, and cross-domain interoperability.
- AI4CSMLongest-running project (2021-2025) targeting the full automotive value chain from embedded computing to sustainable propulsion and human-vehicle interaction.
- ADACORSATheir entry point into H2020, applying resilient computing architectures to the emerging drone/UAV domain — a less common application area for chip-level SMEs.