Digital infrastructure and AI platform for Spain's notarial system
Centro Tecnológico del Notariado operates as the official technology partner to Spain's notarial council, building secure digital systems and document platforms since 2002. The tech stack reveals a dual-track evolution: a mature cryptographic and compliance foundation (Java, EJBCA, OpenSSL, S/MIME, OCSP) for high-assurance notarial workflows, paired with active investment in LLM infrastructure (LLaMA, Mistral, Ollama, LangChain, RAG pipelines) and in-house AI agent development. The engineering-heavy hiring mix and project focus on secure RAG pipelines and LLM deployment optimization suggest a transition from legacy document processing toward AI-augmented notarial services.
Centro Tecnológico del Notariado is the technology subsidiary of Spain's General Council of Notaries (Consejo General del Notariado), created in 2002 to drive digital transformation of notarial services. Based in Sant Cugat del Vallés and operating as a public company with 201–500 employees, it develops secure digital platforms, document processing systems, and advanced applications for notaries, courts, and government bodies. The organization bridges the notarial profession with public administration and financial institutions, ensuring legal compliance and data security across digital workflows. Current operations span real-time reporting, legacy application modernization, cloud analytics, and emerging AI integration into core notarial processes.
Core stack: Java, OpenSSL, TLS/SSL, EJBCA (public-key infrastructure), OCSP, S/MIME for secure document handling. Data/ML layers: PyTorch, LLaMA, Mistral, LangChain, RAG, Hugging Face. Orchestration: Docker, Kubernetes. Tools: Jira, Redmine, Remedy IT Service Management, SharePoint.
Active projects include: processing platform for the notarial council, in-house LLM agent development, secure RAG pipeline development, AI tool creation, document load optimization, blockchain-based applications, and cloud-based systems. Key pain points: LLM deployment optimization, legacy application modernization, real-time reporting, and private data security.
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