Turkish electronics SME specialising in hardware reliability engineering, AI-driven failure prediction, and trustable IoT system design.
Pavo is a Turkish electronics design and manufacturing SME based in Istanbul, active in hardware reliability engineering and intelligent IoT systems. Their EU project work spans two complementary domains: physics-of-failure-based reliability for electronic components (chip, package, and board level) and AI-driven trustability for connected embedded devices. In practice, they contribute industrial and engineering know-how to large European research consortia — applying Quality 4.0 methods, reliability prediction models, and explainable AI concepts to real-world electronic products. Their company name ("tasarım üretim elektronik ticaret" = design, production, electronics, trade) confirms a commercial electronics profile with both design and manufacturing capability.
iRel40 (Intelligent Reliability 4.0) placed them directly in chip-package-board reliability, robustness validation, and design-for-reliability methodology — the core of their engineering identity.
Both iRel40 (prediction, testability) and InSecTT (AI, ML, explainable AI) required applying machine learning to quality assurance and failure prediction in electronic systems.
InSecTT (Intelligent Secure Trustable Things) covered trustability, explainable AI, connectivity, security, and safety for embedded IoT devices across multiple application domains.
InSecTT keywords include interoperability, cross-domain use cases, and reusability — suggesting involvement in architecture or integration work bridging different embedded system contexts.
Both H2020 projects started in 2020 and ran concurrently through 2023, so the evolution here is thematic rather than strictly temporal. Their first project focus (iRel40) was grounded at the hardware level — silicon, packaging, board-level failure physics, and deterministic reliability methods. Their second project (InSecTT) moved up the stack to software-defined trustability, explainable AI, and secure connectivity for IoT. The direction of travel is clear: from physical reliability engineering toward AI-augmented quality assurance and trustworthy embedded intelligence — a shift from "will this chip fail?" to "can we trust this connected device?"
Pavo is moving from hardware-centric reliability work toward AI-powered trustability and secure connectivity — making them increasingly relevant for IoT, automotive electronics, and industrial edge computing consortia.
Pavo has participated exclusively as a consortium partner, never as coordinator, across both projects. Both projects were large Innovation Actions with extensive consortia — their 134 unique partners across 16 countries from just two projects signals involvement in genuinely large collaborative efforts, not niche bilateral arrangements. This profile fits a specialist industrial contributor: a company that brings concrete engineering or manufacturing use-case grounding to research consortia rather than leading the scientific agenda.
Despite only two projects, Pavo has accumulated 134 unique consortium partners across 16 countries — an unusually wide network for an SME at this scale, reflecting the large consortium structures of iRel40 and InSecTT. Their network is pan-European in character, consistent with participation in major ICT Innovation Actions.
Pavo occupies a rare position as a Turkish electronics SME active in two complementary and technically demanding EU research domains — hardware reliability engineering and AI-based IoT trustability — rather than the more generic software or consulting roles Turkish SMEs often fill in Horizon projects. For a consortium builder, they offer an industrial electronics perspective from a non-EU country with strong manufacturing capacity, which can add geographic diversity and practical implementation grounding that purely academic or large-industry partners cannot. Their combination of Quality 4.0 methods and explainable AI interest positions them at an intersection that is increasingly relevant as electronics reliability requirements tighten in automotive, medical, and industrial sectors.
