Toward Useful Systems for Useful Agentic AI
Toward Useful Systems for Useful Agentic AI
A collaborative research initiative across leading institutions
Join Our Research Initiative
Help us advance the field of agentic AI through collaboration and participation
Key Research Areas
Our interdisciplinary approach focuses on critical challenges in agentic AI
Industry-Grade Agentic AI Systems
Understanding technical challenges for real-world deployment and scaling
Academic-Industry Bridge
Connecting research innovation with practical applications and industry needs
Cross-Institutional Collaboration
Leveraging expertise across 5 major institutions for comprehensive solutions
Impact-Driven Research
Focusing on solving the most impactful industry problems with measurable outcomes
Our Mission
In a collaboration of over 20+ researchers across UC Berkeley, Intesa Sanpaolo, IBM Research, the University of Illinois at Urbana-Champaign, and Stanford, our mission is to broadly understand the key technical challenges for industry-grade agentic AI systems and to build bridges between academic innovation with industry realities and the AI and Systems research communities.
From this study, we hope to steer our own and the field's research toward solving the most impactful industry problems versus purely academic problems for building and running agentic AI systems, initially through papers and blogs synthesizing our findings.