Custom software and automation for government, healthcare, and industrial sectors
iKnowHow is a 20-year-old software engineering firm operating across digital government, e-health, and industrial automation—primarily serving EU institutions and Greek public authorities. The stack (Java/Spring, Kubernetes, Azure/AWS/GCP, ArgoCD/Flux) reflects a containerized, multi-cloud infrastructure approach, while active hiring is concentrated heavily in engineering (mid-level and senior roles), suggesting scaling of delivery capacity. The project mix and pain points reveal operational friction: QA framework gaps, legacy modernization burdens, and compliance complexity in high-value public tenders.
Notable leadership hires: Tech Lead
iKnowHow delivers custom software solutions, ICT consulting, and enterprise automation to government agencies, healthcare providers, and industrial clients across Greece and Europe. Founded in 2002, the company manages 55+ active projects and employs over 160 engineers and IT professionals. Core service lines include digital transformation, business process automation, e-health systems, industrial robotics, and information security. The organization has grown through two key subsidiaries—iKnowHealth (e-health focus) and Blend Technologies (4IR/AI/cloud/cybersecurity). Current hiring is concentrated in Greece, with active recruitment in engineering, operations, and data roles.
Java, Spring, SQL Server, Kubernetes, OpenShift, Azure DevOps, AWS/GCP/Azure, Terraform, Ansible, Docker, GitLab, ArgoCD, Flux, Prometheus, Grafana, and Elasticsearch. Infrastructure is multi-cloud with containerization and IaC tooling.
Active projects span policy/digital product development, autonomous vehicle simulation, navigation systems (nav2-based), QA framework setup, legacy system modernization, and digital compliance for defense and government clients.
IKNOWHOW SA's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.