Central theme across SAFEPOWER (mixed-criticality), De-RISC (dependable real-time infrastructure), XANDAR (real-time embedded software), and HERMES.
FENT INNOVATIVE SOFTWARE SOLUTIONSSL
Spanish SME building safety-critical embedded software for FPGA, RISC-V, and mixed-criticality real-time systems in space and industrial domains.
Their core work
FENTISS is a Spanish SME specialized in safety-critical embedded software for real-time systems, particularly targeting space and high-reliability computing domains. They develop software solutions for mixed-criticality platforms — systems where tasks of different safety levels (e.g., flight control alongside diagnostics) must run on shared hardware without interfering. Their core technical work spans FPGA/SoC programming, hypervisor technology for partitioned architectures, and toolchains for generating safe and secure code for autonomous and distributed systems.
What they specialise in
HERMES focuses explicitly on programmable microprocessor qualification for FPGA/SoC platforms, and De-RISC targets RISC-V based dependable computing.
SAFEPOWER addressed mixed-criticality systems with low power requirements; De-RISC built dependable infrastructure for safety-critical computers.
XANDAR explores trustworthy embedded software architectures for distributed autonomous systems with secure code generation.
MegaMaRt2 developed scalable model-based frameworks for continuous development and runtime validation, applicable to their embedded software domain.
How they've shifted over time
FENTISS began in H2020 with foundational work on low-power mixed-criticality systems and model-based development frameworks (SAFEPOWER 2016, MegaMaRt2 2017). From 2019 onward, the focus sharpened toward dependable computing hardware platforms (De-RISC with RISC-V), autonomous distributed systems (XANDAR), and FPGA/SoC software ecosystems (HERMES). The trajectory shows a clear move from general embedded software concerns toward specific hardware-software co-design for safety-critical autonomous applications.
FENTISS is moving toward trustworthy software platforms for autonomous systems running on programmable hardware (FPGA/RISC-V), positioning them at the intersection of safety certification and next-generation processor architectures.
How they like to work
FENTISS primarily operates as a participant (4 of 5 projects) but demonstrated coordination capability by leading De-RISC, their largest funded project. With 49 unique partners across 10 countries, they maintain a broad European network rather than repeating the same consortium. This pattern suggests a technically focused SME that is sought after by different consortia for its specialized embedded software expertise.
FENTISS has collaborated with 49 distinct partners across 10 European countries, indicating wide recognition in the safety-critical computing community. Their network spans both ICT and space pillars, connecting them to aerospace, automotive, and industrial computing partners.
What sets them apart
FENTISS occupies a rare niche: an SME with deep expertise in safety-critical software for programmable hardware (FPGA, SoC, RISC-V), a domain typically dominated by large aerospace and defense contractors. Their ability to coordinate a project like De-RISC (EUR 744K funding) shows they can lead technically complex initiatives, not just contribute components. For consortium builders in space, automotive, or industrial safety, they bring specialized software skills that are hard to find in a flexible, SME-sized partner.
Highlights from their portfolio
- De-RISCTheir only coordinator role and largest single grant (EUR 744K), focused on dependable RISC-V infrastructure — demonstrating technical leadership in an emerging processor architecture.
- HERMESLargest participation funding (EUR 500K) targeting FPGA/SoC software ecosystem qualification, signaling their growing importance in programmable hardware platforms.
- XANDARRepresents their forward-looking work on trustworthy software for autonomous distributed systems, combining safety with autonomy — a high-demand intersection.