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Kaiko HQ, the startup behind the EQ+ infrastructure layer for emotionally intelligent AI agents, is partnering with dFusion AI Labs, a Stanford-backed leader in decentralized data access and peer-to-peer AI training.
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This collaboration marks a significant step toward building highly adaptive, emotionally aware agents powered by rich, customizable datasets and continuous emotional feedback loops.
Together, Kaiko and dFusion are integrating their platforms to jointly enhance the intuition, accuracy, and emotional intelligence of AI agents across multiple applications. The cooperation is aiming to help drive innovation in multiple fields, from narrative gaming and virtual companions to Web3-native customer experiences.
“This is about building agents that not only respond intelligently, but emotionally, based on real-world, high-signal data. With Kaiko leveraging dFusion’s validated data, we’re able to create a feedback engine together where AI can understand not just what you say, but how you feel,” said Roger Ying, Co-Founder of dFusion AI Labs.
The collaboration brings dFusion AI’s expansive, privacy-conscious dataset layer, which aims to unlock access to the 96% of data that is private, unindexed and currently untapped by most AI agents, to Kaiko’s EQ+ platform.
The latter will empower AI agents with stronger situational awareness and emotional depth. Kaiko’s platform continuously synthesizes real-time interaction data to build dynamic emotional context that improves agent response and engagement over time.
“Our goal is to imbue AI with empathy. By embedding emotional context into AI systems, we’re moving toward interfaces that actually feel human and can resonate deeply with users,”said Jesse Jarvis, Chief Executive Officer and Co-Founder of Kaiko HQ.
As part of this partnership, Kaiko aims to leverage emotional data to create a better understanding of human interactions and reactions. This breakthrough will lead to more natural, efficient, impactful and meaningful communication between AI and users.
