Bit Intelligence

Detailed Project Description: ERI Network

ERI Network (Eco-Resilience Intelligence) is a decentralized Bittensor subnet that functions as a high-fidelity "Digital Immune System" for the planet. By incentivizing a global network of AI models to analyze environmental data, it transforms reactive disaster response into a proactive, intelligent protocol.

Project Overview

The project addresses the critical gap in centralized disaster monitoring where data from satellite imagery, drone telemetry, and IoT sensors are often siloed and processed too slowly for life-saving action. ERI Network creates a permissionless marketplace where developers are rewarded in $TAO for providing the fastest and most accurate environmental risk assessments. It specifically builds upon the AEGIS Sentinel Protocol, integrating real-time computer vision to identify fire, flood, and structural damage directly from drone and satellite feeds.

Core Mechanism: Proof-of-Intelligence

The subnet operates through a competitive loop between two primary actors:

• Miners (The Intelligence Layer): These participants run specialized machine learning models (Transformers and CNNs) to ingest multi-modal data. They perform tasks such as sapling survival analysis for afforestation monitoring or detecting thermal anomalies that signal early-stage wildfires.

• Validators (The Verification Layer): Validators act as the "Consensus of Truth," scoring miners by cross-referencing their outputs against ground-truth datasets from independent sources like NASA or local forest department records.

Technical Innovation

• Multi-Agent Coordination: Utilizing a multi-agent system to coordinate complex tasks across different geographic regions.

• Web3 Integration: Automating disaster relief through Automated Web3 Disbursement, ensuring that when a disaster is verified on-chain, resources or alerts are triggered instantly without bureaucratic delay.

• Scalable Infrastructure: Leveraging Bittensor's architecture to scale monitoring globally without the overhead of centralized server farms.

Market Impact

ERI Network targets the trillion-dollar climate-risk market, providing invaluable data for reinsurance companies, NGOs, and smart city emergency services. It replaces static, expensive monitoring systems with a dynamic, incentivized layer of intelligence that is both immutable and anti-fragile.

• Ideation & Architecture: Successfully defined the Miner-Validator loop. Miners are assigned to process multi-modal environmental data (satellite/drone), while Validators use cross-source verification (e.g., NASA API vs. Sentinel-2) to score intelligence accuracy.

• Technical Design: Completed the mathematical framework for the Incentive Mechanism. The $TAO$ emission logic is now weighted based on Latency (30%), Accuracy (50%), and Novelty (20%).

• Infrastructure: Established the initial data pipeline for satellite imagery ingestion and integrated basic computer vision scripts for wildfire and flood detection.

• Documentation: Drafted a comprehensive 10-page business pitch deck and a technical subnet proposal outlining the "Proof-of-Intelligence" protocol.

• Current Stage: Pre-Seed / Bootstrapping.

• Status: Currently focused on technical validation through the Bittensor Subnet Ideathon. The project has not raised external venture capital yet.

• Objectives: We are seeking grant opportunities and ecosystem support from the OpenTensor Foundation to fund testnet deployment and initial miner bootstrapping.

• Future Plans: Upon successful validation in Round II of the hackathon, we aim to open a seed round to scale our data ingestion infrastructure and partner with global environmental NGOs.