Saronic AI Guide blends real harbor data, local sailing patterns and weather information into one conversational assistant. Plan routes, compare anchorages and brief your crew in one place.
Saronic AI Guide is a focused AI assistant designed specifically for sailing in the Saronic Gulf—covering destinations like Aegina, Poros, Hydra, Spetses and nearby islands.
What began as a university AI engineering project has evolved into a practical tool for skippers who want intelligent route planning without drowning in scattered information sources.
We combine curated harbor data, local sailing knowledge and weather intelligence into a single conversational interface that helps you make better decisions on the water.
A specialized AI navigation assistant that transforms scattered sailing information into clear, actionable guidance for the Saronic Gulf region—built with transparency and practical engineering principles.
Every feature is built to save you time and reduce decision fatigue when planning your sailing day.
Access detailed mooring types, shelter conditions and local harbor characteristics for every major destination in the gulf.
Get route recommendations that factor in forecasted wind patterns, sea state and seasonal conditions for safer passages.
See the reasoning behind every suggestion—no black box decisions. Understand which data sources inform each recommendation.
Generate clear, structured briefings you can share with your crew—covering routes, safety notes and harbor details.
Make confident routing decisions with AI-powered insights tailored to Saronic Gulf conditions and local patterns.
Train students with intelligent route planning tools that explain the reasoning behind navigation choices.
Enhance visitor experience by providing guests with smart, data-backed navigation assistance for the region.
This is a serious, transparent AI engineering setup designed to deliver reliable navigation assistance with explainable reasoning.
AI responses are grounded in verified, structured information about Saronic Gulf harbors and sailing conditions.
Multi-step reasoning processes ensure recommendations follow logical, explainable decision paths.
Hybrid architecture balances performance, cost and data privacy for optimal results.
Continuous testing ensures accuracy and reliability of navigation recommendations over time.