What is
Its goal is to verify that the queries produced are correct, consistent over time, and aligned with the original intent.
What kind of problems does it address
In systems that use AI or language models to query databases, the primary risk is not the absence of answers, but the production of formally correct but semantically incorrect answers. ODINSQL intercepts these cases, reducing silent errors, ambiguous interpretations, and misleading results.
Why is it reusable
The component is independent of the application domain and the specific database structure. It can be integrated as a control layer in automatic data query systems, intelligent dashboards, or decision support tools.
Where has it been used
ODINSQL was developed in contexts where information reliability is critical for operational and managerial decisions and can be applied wherever AI is used to automatically query structured data.
Customer benefits
Reduced decision-making risk
Reduced likelihood of basing operational or managerial decisions on incorrect or ambiguous queries.
Greater confidence in using AI on data
Automated responses become more reliable and controllable, even in critical contexts.
Control over automation
AI is not a black box: ODINSQL introduces a verification layer that allows you to govern interaction with data and measure the performance of language models.
Secure scalability
It allows you to extend the use of natural language on data without compromising the quality and consistency of the information.