Nomiki Bibliothiki is a legal publishing and software company serving Greek and Cypriot legal markets, with a .NET/C#/SQL Server backend and a front-end stack spanning Angular, jQuery, and Bootstrap. The org is actively addressing ERP optimization and ISO 27001 compliance—pain points that reflect operational maturity and regulatory rigor rather than technical drift. Five active hires across finance, marketing, ops, sales, and support signal a balanced scaling mode focused on operational efficiency and go-to-market rather than heavy engineering growth.
Nomiki Bibliothiki operates as a multi-segment legal services and publishing firm established in 1977. The company publishes over 180 legal titles annually, including 15 academic journals, and delivers professional training, legal technology platforms, and software tools for law firms and businesses across Greece and Cyprus. The company employs 140+ staff across Athens, Thessaloniki, and Patras. Beyond publishing, it operates a conference center and maintains software products built on .NET/C# with SQL Server backends. The org holds ISO 29990:2010 accreditation for training delivery and ISO/IEC 27001:2022 for information security, reflecting compliance-first operations. Current project focus spans ERP customization (SoftOne), network security architecture, and marketing automation.
.NET, C#, and SQL Server form the core backend. Front-end relies on Angular, jQuery, Bootstrap, and HTML5. Infrastructure includes AWS, Azure, GCP, and VMware/Hyper-V. Security tools: Cisco, Palo Alto Networks, Fortinet. Business intelligence via Power BI and Looker.
Athens, Greece. The company also operates offices in Thessaloniki and Patras, with all active hiring currently in Greece.
NOMIKI BIBLIOTHIKI'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.