91proÊÓƵ

This solution addresses the challenge companies face in retrieving specific information from internal data repositories. Conventional methods often involve uploading files to external platforms, raising security concerns. This solution leverages Large Language Models (LLMs) deployed locally, allowing natural language search capabilities within internal systems. By eliminating the need to transmit sensitive data externally, companies can benefit from the power of AI while maintaining data privacy and security.

The solution aims to transform workplace safety by eliminating the need for time-consuming image annotation and model retraining. Using natural language prompts, safety teams can rapidly customize the system to detect new hazards, accelerating deployment and maximizing flexibility. This innovative approach empowers organizations to proactively address evolving risks and create safer work environments without the burden of manual labelingor lengthy development cycles.

The solution leverages a Conversational AI Assistant powered by Large Language Models (LLMs) to understand free-text inputs and generate accurate, actionable responses. It can interpret complex information, reference internal knowledge bases, suggest appropriate next steps, and automate tasks such as schedule appointments or report generation. The assistant provides consistent and reliable support for workflows, improving efficiency and reducing manual effort.

More AI-enabled solutions are on the way—each designed to meet specific business needs. For enquiries, email industry@sp.edu.sg with “[For DSAC] Solutioning” in the subject line.