BI Matrix Wins Back-to-Back AI Projects From Major Finance and Retail Clients
IT DAILY ·
✦ AI Summary
BImatrix said on the 24th that it had won a "decision support solution" project for a major domestic financial client and an "enterprise conversational AI analytics system implementation" project for a major retail client.
For a domestic financial client, it deployed "G-MATRIX" and the "AUD platform," and for the retail contract, it deployed the Agentic AI development platform "TRINITY."
BImatrix built an internal DB-based "Semantic Meta" isolated from external networks to secure response accuracy of more than 85%, and plans to expand the AI-based Self-BI and conversational data analytics market across all industries.
BImatrix announced on the 24th that it had won a "decision support solution" project for a major domestic financial client and an "enterprise conversational AI analytics system implementation" project for a major retail client.
Based on these contracts, BImatrix plans to accelerate its push into key industries at the same time by leveraging its Agentic AI platform products and speeding up its efforts to secure a lead in the AI-based data analytics market.
For a leading domestic financial client, the company will supply its generative AI-based data analytics solution, "G-MATRIX," and its integrated UI/UX platform, "AUD platform." G-MATRIX can identify a user's intent in natural language queries, automatically generate optimized SQL queries, and instantly output visualization reports. By combining G-MATRIX with the AUD platform, employees can explore and analyze data directly, creating a Self-Service Analytics environment that can be used even without separate analytics expertise.
For the financial sector, the company built and applied a "Private LLM" based on an sLLM dedicated to an internal network. This eliminated the risk of external leakage and met the financial industry's strict data security regulations.
At the same time, it implemented multidimensional analysis (OLAP), Excel process automation (EPA), and dashboard functions within a single platform. Based on this, it demonstrated no additional per-feature charges compared with foreign solutions, along with lower TCO and better operational efficiency, and as a result passed a demanding technical review.
For the large retail client contract, the company deployed its Agentic AI development platform, "TRINITY." It is being applied across all job functions, including executives, sales, marketing, and SCM, and is available on PC and mobile. Users can enter complex queries such as "comparative analysis of top-selling items and performance indicators by store," and receive visualization charts and key insights. In addition, integration with the internal messenger and multi-metric cross-validation features support faster on-site decision-making.
The BImatrix AI platform built an internal DB-based "Semantic Meta" isolated from external networks, reducing AI hallucinations and securing response accuracy of more than 85%. It also connected high-performance GPU servers to cut query response time to around 10 seconds and demonstrated performance optimized for enterprise environments.
A BImatrix official said the platform has consecutively passed the strict technology and stability standards of leading finance and retail companies, proving the versatility of its AI platform and its market credibility. The official added that, based on this, the company plans to expand the AI-based Self-BI and conversational data analytics market across all industries.
Meanwhile, BImatrix's TRINITY received a grade 1 certification from GS (Good Software) in July.
Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241152
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Source: IT DAILY
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