Innovation in focus

Recently, the GienTech Agent Innovation Competition concluded successfully, featuring dozens of intelligent solution proposals across financial servicedelivery, business transformation, marketing growth, risk control, data analysis, and operational efficiency. Focusing on financial research and data analysis scenarios, GienTech introducedStats-AI: the Excel/WPS Intelligent Data Mining Assistant.

In financial institutions, tasks such as investment research, risk assessment, customer segmentation, operational reporting, and marketing modeling all rely heavily on data processing and analytical capabilities. Traditionally, these tasks have depended on specialized tools such asPython, VBA, SAS, and SPSS, creating high learning barriers and complex workflows. As a result, business users often have data at hand but lack an efficient way to turn it into timely insight.

Core Capabilities

Embedded directly intoExcel/WPS, Stats-AI allows users to launch tasks throughnatural language inputortable selection, without switching systems or mastering programming languages. It is designed to support the full workflow of:

·Data aggregation and cleansing

·Quantitative analysis and modeling

·Chart generation and visualization

·Automated report output

It also emphasizes a familiar spreadsheet-based experience, helping reduce repetitive data preparation and report-making while improving analysis efficiency. The solutionalsohighlights capabilities such ascode transparency/export,plug-in extensibility, andAI assistance at the individual cell level, strengthening flexibility for different user needs.

Core Architecturecell

Stats-AI is powered by alarge-model collaborative enginebuilt on multi-agent coordination. According to the solution design,planning agentshandle intent understanding and task decomposition, whileexecution agentsmanage API calls and computational processing, with additional support for data processing, analysis, visualization, and modeling. The solution also proposes a dual-loop“planning-and-code-diagnosis”mechanism to improve execution reliability.

Industry focus

The solution is tailored forbanking, securities, and insurancescenarios, with built-in knowledge matrices coveringrisk management, anti-fraud, marketing analysis, compliance monitoring, and NLP applications, supported by10,000+accumulated data mining and modelinguse cases.

Overall, Stats-AI is designed to lower the barrier to financial data analysis and provide a lightweight, intelligent alternative in the era of large models.

If you are interested in this AI product, pleasecontact us.