Openmade Consulting Showcases AI LLM-Based SQL Auto-Tuning ‘Query Medic’ at Commercial/AI SW Market Fair
Revealing Cost Efficiency and Operational Stabilization Plans in the AI Infrastructure Inflation Era
“Optimize Existing Resources Before Server Expansion”… Infrastructure Efficiency Strategy Draws Attention

[[IT Daily] Openmade Consulting (CEO Choi Young-cheol), a specialist in DB performance optimization, has revealed an AI-based tuning strategy for cost efficiency and operational stabilization of public infrastructure.
Openmade Consulting announced on the 7th that it participated in the ‘2026 4th Commercial/AI SW Market Fair’ held at the Sejong Government Convention Center (SCC) on the 26th and showcased its AI-based SQL auto-tuning solution, ‘Query Medic.’
The event was hosted by the Ministry of Science and ICT and organized by the Korea Commercial Software Association (KOCOSA), designed to share the technologies of domestic AI/SW companies in line with the acceleration of the national AX. A large number of information managers from central government ministries, local governments, and public institutions also attended.
At this market fair, Openmade Consulting presented Query Medic as a pillar of the strategic roadmap for operational stabilization and budget reduction of public infrastructure.
Openmade Consulting operated an exhibition booth under the theme of ‘Cost Efficiency and Operational Stabilization in the AI Infrastructure Inflation Era.’ The company explained, “While the complexity of public IT environments is intensifying with a mix of Cloud, On-premise, and AI platforms, Query Medic’s ‘AI LLM-based hyper-gap productivity that exceeds human limits’ received positive evaluations from managers promoting administrative intelligence.”
Query Medic provides dozens of times more performance than experts through an intelligent 4-step process: △24/365 automatic detection △Root cause analysis △Auto-tuning △Impact Verification. The company added that it can preemptively prevent system failures and significantly reduce operating costs by comprehensively optimizing SQLs left in management blind spots.
Additionally, the ‘Tune First, Expand Later’ strategy, which maximizes the efficiency of existing resources before server expansion, was presented for the public sector where budget efficiency is crucial.
An Openmade Consulting official stated, “AX in the sensitive public sector must be preceded by infrastructure optimization that comprehensively considers operational stability and data consistency, beyond simply introducing AI.”
They added, “Through this market fair, Query Medic has proven to be a verified commercial AI SW supporting the intelligence of public services, and we will continue to accelerate technological advancement for the successful settlement of South Korea's public AX.”
Meanwhile, Openmade Consulting is operating a Query Medic POC program to immediately verify tuning effects and a service that supports DB performance improvement within 2 weeks without a license purchase.
Sales inquiries for product implementation and consulting
02-6310-6167 / qm@openmade.co.kr
Source : IT Daily (http://www.itdaily.kr/news/articleView.html?idxno=238789)
Reporter seungyang@itdaily.kr
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