Malumat is the network where expert knowledge feeds corporate data, providing a seamless interaction that empowers businesses to make informed decisions.

Built on one of the largest datasets in the Turkish language, with a focus on law, Malumat goes far beyond being a simple database.

It is an AI-driven system that stands out in several ways. First, it meticulously classifies every piece of information into events, facts, concepts, terminology, or provisions, organizing them by the nature of the data and linking them through a knowledge graph.

This ensures advanced querying capabilities beyond basic searches and uncovers semantic relationships. Second, the system continuously learns from user interactions, analyzing research and usage patterns to create a self-learning and recommendation-driven experience.
Integrated with expert AI models across various legal domains, Malumat ensures users receive coordinated, precise, and reliable responses to their inquiries. This functionality allows legal professionals, researchers, and corporate stakeholders to navigate complex legal questions efficiently and with confidence. To maintain its relevance, Malumat is regularly updated with new data.
For additional assurance, function calls are integrated to access external sources when needed, ensuring users always receive accurate and current information.

Importantly, Malumat does not store or process corporate data specific to individual enterprises and adheres strictly to personal data protection regulations, respecting user privacy at every stage. By combining an expansive dataset, AI-driven adaptability, and a meticulous classification system, Malumat redefines how expert knowledge is accessed and utilized, empowering organizations to navigate the complexities of the legal landscape with clarity and trust.