BI Matrix unveils on-premise Text-to-SQL solution at AI Festa 2026
October 10, 2026 · 2 min read
BI Matrix introduced a secure on-premise 'Text-to-SQL' solution during the AI Festa held in COEX, Gangnam, on October 8, 2026. This solution is designed to operate safely within corporate internal networks, addressing rising concerns over information leaks in large enterprises and the financial sector.
The Text-to-SQL technology allows users to convert natural language questions into SQL queries, retrieving data from internal databases in real-time and visualizing it on a UI dashboard. One of the notable features of this solution is its ability to eliminate the prevalent issue of 'hallucination' found in existing generative AI. Instead of generating arbitrary results or fake data, it accurately constructs SQL statements to fetch actual database data.
User experience has been significantly enhanced, as the solution can understand database schema information. This allows users to make simple queries like "Tell me the status of complaints," resulting in the automatic generation of comprehensive dashboards. Consequently, the time-consuming process of requesting data extraction from the IT department has been drastically reduced.
BI Matrix emphasized the 'closed network security' of their solution, which operates solely within the company's intranet without external online network connections. This feature has garnered positive responses from public institutions and financial organizations hesitant to adopt cloud AI due to recent data breach concerns.
Additionally, for complex calculations requiring inference, the solution offers extensibility by integrating with existing MLOps environments or Python code. A representative from BI Matrix noted an increasing demand for on-premise AI solutions, particularly among security-sensitive sectors like finance, public service, and large manufacturing companies.
AI Festa 2026 is an official event organized by the Ministry of Science and ICT, showcasing numerous AI technologies and applications across various industries.