Pundi AI partners with GAEA to establish a new standard in emotion-aware artificial intelligence

Pundi AI has announced a strategic partnership with GAEA Labs, a pioneer in verifiable emotional artificial intelligence, in a major step towards more human-aligned AI systems. This collaboration aims to bring together distributed AI data infrastructure and one of the most complex problems in modern AI development: quantifiable emotional intelligence.

The ability to understand human mood is no longer an option as AI agents become part of everyday life through conversation, automation, and decision-making. Emotion recognition is becoming a fundamental requirement for AI systems to communicate with individuals in important and responsible ways.

Why emotional intelligence matters in AI

While current AI systems can process language, identify images, and perform large-scale tasks, understanding emotions remains largely abstract and unstable. Although most models claim to identify emotion or tone, few provide reliable ways to ensure emotional understanding or measure empathy.

This distance is especially dangerous when AI agents act independently or interact directly and personally with users. Without guidelines or certification, emotional AI could prove to be unreliable, unbiased, and contrary to human principles. Pundi AI and GAEA’s partnership helps solve these problems through transparency and accountability.

GAEA’s approach to verifiable emotional intelligence

GAEA Labs is developing what it calls the first verifiable emotional AI network. At the core of its work is a distributed training system based on capturing real human emotional signals rather than artificial approximations. By doing this, you can train your emotional intelligence with a variety of real-world data sources.

One of the core innovations proposed by GAEA is GAEA Certification. This is a model used to evaluate and score the emotional intelligence of an AI model. Rather than assigning empathy as an intangible quality, this certification gives a set of specific criteria that can be independently evaluated and proven. This translates emotional competencies into standards that developers, users, and even institutions can rely on.

Pundi AI’s role in trusted AI data infrastructure

Pundi AI is a company with a high level of experience in the decentralized AI data ecosystem. We are focused on our mission to develop open, transparent, and verifiable data pipelines that allow datasets to be tracked, authenticated, and audited throughout their lifecycle.

Under this partnership, Pundi AI will explore ways to label emotional data in a safe and secure way, authenticated on-chain, and community-centric. This ensures sensitive emotional signals are managed responsibly and data integrity and provenance are maintained. The result is a system that makes emotional intelligence training ethical and responsible.

Criteria for building emotion recognition AI agents

Pundi AI and GAEA are collaborating to contribute to future standards for emotional intelligence testing of AI agents and applications. This collaboration combines verifiable data infrastructure with emotional AI certification, preparing the foundation for AI systems that are not only powerful, but emotion-aware and auditable.

Looking to the future of human-centered AI

The partnership between Pundi AI and GAEA is a visionary attempt to re-establish the process of how emotional intelligence is constructed and justified in artificial intelligence. The two teams share the notion that community engagement, transparency, and ethical use of data are values.