Assisted Low-code Generation and Optimization

Short description of the innovation study

This innovation study focuses on the development of AI-assisted features for the WebRatio low-code development platform. The main objective is to fine-tune a Large Language Model (LLM) to generate Interaction Flow Modeling Language (IFML) models in XML format. The project leverages WebRatio’s proprietary codebase and the expertise of RES IT in language models, aiming to integrate the LLM into the platform without compromising quality or user control. This project represents a fundamental milestone in a broader R&D effort to significantly grow the company’s revenue through AI-assisted low-code development. The expected impact includes both technological advancement of the WebRatio platform and the potential for market expansion.

Organisations involved: 

End User: WebRatio S.r.l.

Technology expert: RES IT S.r.l.