Globot

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  Homepage Introduction

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  Homepage Introduction

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  Homepage Introduction

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  Homepage Introduction

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  Homepage Introduction

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  Homepage Introduction

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  Choose Ports

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  2D Global Route Real-time Map

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  Human On The Loop

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  Multi-agent roles are working

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  Satellite cloud image analysis (cross-verification of information)

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  Automated decision-making system based on Google services

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  3D Global Route Real-time Map

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  Real-time system logs

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  Token usage management

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  Route compliance analysis

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  File upload

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  Ship information filling

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  Administrator backend management

Inspiration

On a Friday at 4:55 PM, the Red Sea crisis erupts. You're responsible for $50 million in cargo, drowning in Excel spreadsheets while Reuters updates flood in. Your boss is yelling. What do you do?

This scenario inspired Globot — an Agentic AI system that transforms reactive crisis management into proactive defense.

What it does

Globot is a 5-Agent AI Reasoning Engine powered by Gemini 3 that:

• 🔭 Market Sentinel: Monitors geopolitical signals from Reuters/Bloomberg in real-time
• 🛡️ Risk Hedger: Calculates financial impact of route changes (fuel costs +$180K, freight volatility)
• 🚢 Logistics Orchestrator: Automatically replans shipping routes to avoid conflict zones
• 📋 Compliance Manager: Analyzes 500-page insurance policies using Gemini's 2M token context window
• ⚖️ Adversarial Debate: Red-team tests every decision to prevent AI hallucinations

Key Innovation: We use Gemini Vision to analyze satellite imagery, detecting port congestion and canal blockages 6 hours before official announcements.

How we built it

• Backend: Python + FastAPI + CrewAI (Multi-Agent Orchestration)
• Frontend: React + TypeScript + Deck.gl (3D Globe Visualization)
• AI: Gemini 3 Flash (Reasoning) + Gemini Vision (Satellite Analysis) + Gemini Embeddings (RAG)
• Auth: Clerk (Enterprise-grade authentication)
• Database: SQLite + ChromaDB (Vector Store)

Challenges we ran into

1. aiohttp Compatibility: Python 3.13 introduced breaking changes; we implemented monkey patches to maintain CrewAI compatibility
2. Long Context Window: Feeding 500-page legal documents required careful prompt engineering
3. Multimodal Reasoning: Getting Gemini Vision to output structured risk assessments from satellite images

Accomplishments we're proud of

• Visual Risk Intelligence: First supply chain AI to use satellite imagery for early warning
• Explainable AI: Every decision shows a transparent Chain-of-Thought reasoning process
• Human-in-the-Loop: All critical decisions require human approval — responsible AI in action

What we learned

• Gemini's multimodal capabilities enable use cases impossible with text-only models
• Long context windows unlock enterprise document understanding
• Multi-agent systems are more robust than single-model approaches

What's next for Globot

• Integration with Bloomberg Terminal API for live market data
• MarineTraffic API for real-time AIS ship tracking
• Sentinel-2 Satellite API for automated port monitoring
• Expansion to air freight and rail logistics

Built With

• chromadb
• clerk
• crewai
• deck.gl
• fastapi
• gemini-3-flash
• gemini-embeddings
• gemini-vision
• python
• react
• sqlite
• typescript
• vite
• websocket