This next-generation semiconductor AI Applet MCU (Microcontroller unit) is a core security technology for the next-generation mobility industry, based on object intelligence technology that enables the system to detect malfunctions on its own.
Here are some examples of various solutions:
Healthcare : Senior care solution utilizing sLLM and AI speakers
A system that enables emotional and health counseling for seniors through voice commands using an AI speaker.
Finance : FDS anomaly detection solution using sLLM
A system that detects abnormal behavior in customers of banks or insurance companies using sLLM's logical reasoning capabilities.
Call Center : Call center solution using AI counselors using sLLM
An AI counselor solution that proactively provides support to customers by training a manual for large-scale language processing
Documentation : Automatic document summarization and report creation for companies using sLLM
Companies Using sLLM Using sLLM to create reports and summarize diverse data within the company using sLLM functions.
Team Coding : Coding rules and style application solution using sLLM
A solution that enables developers to establish and share team-level coding and naming conventions.
Railway Solution : AI analysis system using railway systems
Developing an AI-based analysis solution for railway security systems.
Manufacturing : Defect Analysis Issue Summary Bot
Reads MES/quality claims/inspection reports and suggests potential causes and patterns.
Distribution: Product Q&A and Recommendations
Advanced Q&A using product descriptions, reviews, and inventory data.
Commerce : Store Operation Manual Assistant
Quickly finds and answers questions from branch manuals/promotional guides.
Hospital: Treatment Guideline / Medical Paper Summary Assistant
Summarizes various guidelines/papers and answers questions (for doctors and researchers).
Construction : Safety Management Log/Inspection Report Summary
Summarizes daily inspection records and accident reports and analyzes patterns.
Media: Comment/Community Monitoring Summary
Summarizes user feedback and community posts and classifies sentiments/issues.
