Both SCOTT and InSecTT are explicitly focused on secure, trustable connected things — this is the consistent thread across their entire H2020 portfolio.
REALTIME EMBEDDED AB
Swedish embedded systems SME specializing in secure, trustable IoT and explainable AI for connected devices in critical applications.
Their core work
Realtime Embedded AB is a Swedish technology SME specializing in real-time embedded systems software and engineering for connected, secure, and intelligent devices. Their work sits at the intersection of IoT, cybersecurity, and embedded AI — building the low-level software foundations that make connected devices trustworthy and safe to deploy in critical applications. Through their H2020 projects, they contributed to large European industrial consortia tackling secure IoT architectures (SCOTT) and the application of explainable AI in embedded environments (InSecTT). Their practical focus appears to be on making embedded systems interoperable, reliable, and verifiable — properties essential in sectors like automotive, industrial automation, and smart infrastructure.
What they specialise in
The company name and ECSEL-IA participation (Electronic Components and Systems for European Leadership) directly points to embedded hardware-software integration as their core commercial competence.
InSecTT (2020-2023) introduced keywords including explainable AI, trustable AI, and artificial intelligence, signaling a newer capability area built on their existing security and reliability base.
InSecTT keywords include interoperability, connectivity, cross-domain, and reusability — suggesting they work on protocol and integration layers enabling heterogeneous systems to communicate securely.
How they've shifted over time
Their first project, SCOTT (2017–2020), produced no recorded keywords in the analytics — the focus was on the foundational problem of making connected things secure and trustable, with limited AI dimension. By InSecTT (2020–2023), their keyword profile expanded substantially to include artificial intelligence, explainable AI, trustable AI, interoperability, and cross-domain use cases, indicating a deliberate move from security-first IoT toward intelligent, verifiable embedded systems. The trajectory is clear: they started in secure connectivity for embedded devices and are now building expertise in making AI-driven embedded systems explainable and auditable — a capability gap that is increasingly relevant in regulated industries.
They are moving toward the intersection of embedded systems safety and AI trustworthiness — a niche that will become critical as AI-enabled devices enter regulated environments like automotive, medical, and industrial control.
How they like to work
Realtime Embedded AB participates exclusively as a consortium partner — they have never led an H2020 project. Both projects are ECSEL-type large-scale industrial actions, which typically involve 30–80+ partners, explaining their unusually high count of 92 unique collaborators from just two projects. This suggests they operate as a specialist contributor within pre-formed industrial ecosystems rather than building their own consortium strategy.
Despite only two projects, they have collaborated with 92 unique partners across 16 countries — a footprint entirely explained by ECSEL mega-consortia, which routinely include academic, industrial, and SME partners from across Europe. Their network is broad but relationship depth with any single partner is likely limited.
What sets them apart
Realtime Embedded AB occupies a specific niche: embedded systems specialists who bridge hardware-near software engineering with emerging requirements for AI transparency and functional safety — a combination rarely found in a single SME. Their Swedish base and ECSEL participation places them within the European electronics and semiconductor supply chain ecosystem, giving them credibility with industrial partners who need proven embedded software expertise alongside AI governance capabilities. For a consortium needing a partner who can implement trustworthy AI at the device level rather than the cloud level, they are a credible and relatively rare option.
Highlights from their portfolio
- InSecTTTheir largest and most recent project (EUR 367,486), InSecTT pushed beyond connectivity security into intelligent embedded systems with explainable AI — reflecting a significant expansion of scope and the most complete picture of their current technical direction.
- SCOTTTheir entry into H2020, SCOTT established their credentials in secure IoT architecture within a large ECSEL industrial action, connecting them to a broad European network of embedded systems companies and research institutions.