Nomiki Bibliothiki pairs legal and finance publishing with professional training and software for law firms, running a Microsoft-centric core (.NET, C#, SQL Server, Angular, WPF) alongside Azure, AWS and GCP. Its newer Python, FastAPI and RAG work, plus adoption of Hugging Face and LangChain, points to generative AI layered onto its legal content archive. Hiring is accelerating and tilts toward sales and marketing.
Nomiki Bibliothiki is a publisher, professional training provider and legal technology organization serving Greece and Cyprus. Its customers include legal practitioners, businesses, scholars, and organizations in corporate, government, law enforcement and financial markets. The company publishes law and finance titles and academic journals, runs training programs and congresses, and develops legal platforms and tools for law firms. It has 51–200 employees with offices in Athens, Thessaloniki and Patras, and holds ISO 29990:2010 and ISO/IEC 27001:2022 certifications.
Its stack includes .NET, C#, ASP.NET MVC, SQL Server, Angular, WPF, Python, FastAPI, Docker, Azure, AWS, GCP, Power BI, Looker and SoftOne ERP, with Hugging Face and LangChain being adopted.
Yes. Job posts reference generative AI application development, RAG pipeline development and AI solution deployment on Azure, supported by adoption of Hugging Face and LangChain.
Current hiring is in Greece, spanning sales, marketing, engineering and operations roles, with the pace of new postings accelerating.
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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.
