G-AIA is Gulliver's generative artificial intelligence platform.
Designed for businesses.
It uses Large Language Models (LLM) powered by Retriever-Augmented Generation (RAG) technology. This combination allows customer-specific data to be integrated and exploited, improving the accuracy and relevance of the responses generated. With the G-AIA artificial intelligence platform, companies can obtain tailor-made solutions based on their unique data.
AI for transport and logistics
Thanks to the IArtificial Intelligence Platform, our transport solution now verifies addresses and their components, adding missing information, and helps employees to better place all goods on the vehicles and in the warehouse.
AI for people and building management
The AI system integrated with our artificial intelligence platform, in G-HR is designed to streamline the flow of your daily people and building management operations: from efficiently managing and transmitting your monthly expense reports, to meticulously recording every assignment of the day, to providing you with a detailed and accurate report at the end of the month of everything you need.
AI for ad-hoc projects
We have implemented custom projects with artificial intelligence as the absolute protagonist. Find out how employment centers in the Province of Pavia verify and evaluate candidates' CVs.
What G-AIA generative AI platform, offers
Integration of Large Language Models (LLM)
It uses advanced language models to process and generate complex texts, supporting a wide range of applications such as customer support, content generation, and text analysis.
Generation Augmented Retriever (RAG)
It combines information retrieval (retriever) and response generation techniques to provide outputs that not only reflect the natural language understanding capabilities of LLM models, but are also enriched by the specific knowledge bases or data entered by the client company.
Data security and privacy
Implements stringent security protocols to ensure that user data is managed and processed securely, meeting privacy and data protection regulations.