Human-Like
Agentic AI
Built on a large language model (LLM), Gleo AI enables natural, human-like interaction with contextual awareness. Far beyond simple response generation, Gleo AI autonomously interprets situations and takes action using contextual signals and integrated tools. Its general-purpose agent architecture and MCP protocol foundation enable rapid adoption of emerging technologies and flexible expansion of capabilities.
More than a technology platform, Gleo AI aspires to be an intelligent companion for drivers– seamlessly connecting and controlling diverse in-vehicle and external applications and functions while evolving beyond command execution to deliver interactions that feel natural, intuitive, and genuinely conversational. By understanding voice interactions alongside signals from cameras, microphones, and other in-vehicle and external sensors, Gleo AI proactively delivers personalized guidance tailored to each driver’s needs.
Built on a large language model (LLM), Gleo AI enables natural, human-like interaction with contextual awareness. Far beyond simple response generation, Gleo AI autonomously interprets situations and takes action using contextual signals and integrated tools. Its general-purpose agent architecture and MCP protocol foundation enable rapid adoption of emerging technologies and flexible expansion of capabilities.
More than a technology platform, Gleo AI aspires to be an intelligent companion for drivers– seamlessly connecting and controlling diverse in-vehicle and external applications and functions while evolving beyond command execution to deliver interactions that feel natural, intuitive, and genuinely conversational. By understanding voice interactions alongside signals from cameras, microphones, and other in-vehicle and external sensors, Gleo AI proactively delivers personalized guidance tailored to each driver’s needs.
Agentic AI for Intelligent Services, Gleo AI
Hybrid AI Architecture for Reliable Operation
Gleo AI is designed to deliver high reliability and resilient operation across both on-device and cloud environments. The on-device system executes models locally on the user’s device, enabling precise resource management and secure data handling through deep integration with the operating system. Meanwhile, the cloud-based execution environment integrates diverse internal and external knowledge sources to support advanced conversational capabilities and broader contextual intelligence, resulting in more informed and comprehensive responses.
AI Model Optimized for In-Vehicle Experience
At the core of Gleo AI is a proprietary large language model developed by 42dot. Meticulously tuned through a combination of supervised learning and reinforcement learning, the model is engineered to meet the high standards of accuracy and stability required for in-vehicle environments. This training approach minimizes hallucinations, ensuring stable performance even in in-vehicle AI systems where safety and reliability are paramount.
Lane-Level Navigation
From the moment a driver enters the vehicle until reaching the destination, the navigation system continuously perceives and understands surrounding environments and driving conditions in real time, delivering essential information naturally and without interruption.
In addition to text search and touch interaction, integration with Gleo AI allows users to set destinations and access information through voice,
creating an intuitive navigation experience for anyone to use with ease.
Next Page
Optimizing Mobility,
with Fleet AI
