Managers, in today's corporations, rely increasingly on the use of databases to obtain insights and updated information to make their decisions. This paper describes a flexible query interface based on fuzzy logic. Hence, queries in natural language with pre-defined syntactical structures are performed, and the system uses a fuzzy natural language process to provide answers. This process uses the fuzzy translation rules of the meaning representation language PRUF, proposed by Zadeh (Intern. J. Man–Machine Studies 10 (1978) 395). The interface was built for a relational database of the 500 biggest non-financial Portuguese companies. The attributes considered are the economic and financial indicators. Examples of pseudo-natural language queries, such as “ is company X very profitable?” or “ are most private companies productive?”, are presented to show the capabilities of this human-oriented interface.