🧭 Overview
Ethos-Vision is an AI-powered supply chain transparency platform that lets consumers instantly verify the ethical credentials of any product by scanning its barcode or receipt. It goes beyond traditional RAG — instead of just retrieving data, it autonomously investigates and verifies claims in real time using a swarm of specialized AI agents.
🚨 The Problem
Global supply chains are opaque, and consumers are being left in the dark:
- 70% of consumers want to buy ethically
- 90% distrust corporate sustainability claims
- Static Data — Current "green scores" rely on outdated, self-reported, or incomplete corporate disclosures
- Transparency Gap — No real-time way to verify the ethical journey of a product at the point of purchase
- Information Asymmetry — Corporations hold the data; consumers are left with marketing buzzwords
✅ The Solution
Ethos-Vision bridges this gap with a 3-step autonomous pipeline:
1. SCAN → User scans a barcode or receipt
2. INVESTIGATE → AI agent swarm autonomously crawls the web & verifies claims
3. REVEAL → Complex data becomes a compelling, interactive ethical narrative
🔍 Core Features
🖼️ Multi-Modal Vision Intelligence
- Powered by Gemini 1.5 Pro and GPT-4o Vision for high-accuracy OCR and object recognition
- Processes barcodes, product labels, and store receipts
- Zero manual data entry — one snap triggers the entire research swarm
- Extracts: Brand & parent company, Product SKU & manufacturing batch, Geographic origin & logistics hubs
🤖 Autonomous Research Swarm
Orchestrated via LangGraph and CrewAI, four specialized agents run in parallel:
| Agent | Role |
|---|---|
| ⚖️ Labor Auditor | Investigates factory conditions, wage reports, and labor union disclosures |
| 🌿 Carbon Tracker | Estimates logistics and manufacturing emissions via shipping routes and energy grid data |
| 📰 News Fact-Checker | Scans global news archives and NGO databases for ethical controversies |
| 🔍 Trust Verifier | Validates corporate claims against third-party certifications and satellite imagery |
📊 Real-Time Verification & Fact-Checking
Dynamic Research Sources:
- Live web crawl
- Financial reports
- Satellite imagery
- News archives
- NGO databases
- Legal filings
Verification Logic:
- Cross-Referencing — Agents validate marketing claims against independent news and financial data
- Conflict Detection — Identifies discrepancies between self-reported sustainability and actual supply chain behavior
- Evidence-Based — Every score component is backed by a specific, verifiable source link
📖 Interactive Ethical Narrative
- Personalized Storytelling — Complex supply chain data converted into easy-to-understand narratives tailored to user values
- Drill-Down Capabilities — Users interact with specific agent findings to view source documents, news reports, or carbon calculations
- Actionable Insights — Suggests ethical alternatives in real time if a product fails the user's personal criteria