1. Introduction

1.1 Project Background

As the era of AGI (Artificial General Intelligence) approaches, AI is often viewed as “new life on Earth.” Yet while today’s frontier large models have achieved breakthroughs in professional intelligence, they commonly lack emotional empathy. AI without “warmth” cannot form deep emotional bonds with humans like a friend or a pet,thus struggles to meet the deeper needs of education, healthcare, and companionship.

At the same time, the quality of AI training data has long faced bottlenecks. Industry estimates suggest that 30%–50% of general-purpose AI training data is invalid or noisy. This not only inflates training cost

duration, but also wastes significant compute. Efficiently acquiring and filtering high-value emotional data has become the key to ushering AI into an age of emotional intelligence.

GAEA addresses these pain points by building a multimodal emotional-data factor market training infrastructure. Through a device-first approach, privacy compliance, quality assessment, and value mapping, GAEA settles “emotional data” as a core production input that lifts both models and applications.

1.2 Project Overview

GAEA is the first decentralized AI training network fused with human emotional data. As an early mover deeply integrating physical node networks with emotional-data collection, GAEA has deployed distributed nodes across 100+ countries.

regions, forming the world’s first decentralized emotional database. Through voice, text, and smart devices, GAEA continually gathers human emotional data to train AI with empathetic capability—building an open, self-evolving training ecosystem.

GAEA also introduces GAEA Certification to establish industry consensus a compliance framework on whether a model/app has verifiable emotional capability (as opposed to philosophical “felt emotions”). With capability grading and credentialing, GAEA sets the standards and infrastructure for value-measured emotional data, enabling human–AI co-evolution and serving as an admission and quality safeguard for the ecosystem.

Pipeline: Data → Capability → Value (end-to-end).

1.3 Mission & Vision

GAEA’s mission is to make data more valuable. By constructing a decentralized value data layer,

GAEA optimizes data selection to provide more efficient, higher-value datasets for AI training and drives progress in AI technology.

To avoid “emotional marketing” conceptual confusion, GAEA Certification evaluates and declares whether a model/app has verifiable emotional capability (not a claim of subjective experience). It provides verifiable evidence of capability and safety boundaries for industrial deployment and regulatory dialogue.

Looking ahead, GAEA will co-build an emotional-intelligence ecosystem with global developers, device partners, application builders. Relying on multimodal data and open protocols—and evolving toward an AI ecosystem chain (GAEA Chain)—GAEA will place data rights, contribution metering, settlement, and governance on-chain under compliance, enabling long-term human–AI co-evolution and a new era of carbon-silicon symbiosis.