AIsa, an AI micropayment company, announced a partnership with Data For AI, a well-known Silicon Valley data and AI professional community, and Datastrato, a leading big data and artificial intelligence company, to co-host a technology summit themed "Beyond the Framework: Architecting Infrastructure for Agentic AI".
Article author and source: AIsa
AIsa, an AI micropayment company, announced a partnership with Data For AI, a well-known Silicon Valley data and AI professional community, and Datastrato, a leading big data and artificial intelligence company, to co-host a technology summit themed "Beyond the Framework: Architecting Infrastructure for Agentic AI".
The event will be held offline in Mountain View, California on January 28, 2026, and will invite experts from Anyscale, Datastrato, and other fields to share cutting-edge practices and implementation experiences of Agentic AI. Speakers will include Suman Debnath, Head of Machine Learning Technology at Anyscale; Jerry Shao, Co-founder and CTO of Datastrato; and Andrew Dong, President of Datastrato.
AIsa Chief Product Officer (CPO) Karen Sheng will deliver a keynote speech titled "Why Agentic AI Needs an Economic Layer: Payments, Compositions and Trust," which will delve into the payment system, resource market mechanisms, and trust infrastructure construction in the era of Agentic AI.
Karen graduated from Peking University and holds a master's degree from the University of Chicago. With a background in data science, she is a serial entrepreneur. Before joining AIsa, she served as the Head of Product Strategy and Technology Product at Temasek's startup incubation platform in Singapore, where she led product planning, technology implementation, and business incubation related to the integration of AI and blockchain.
core issues
- Data infrastructure and multimodal metadata governance required for production-grade autonomous agents
- Access control, long-term context maintenance, and efficient retrieval of vector and multimodal assets
- Evolution of computation runtime supporting long-cycle, multi-step proxy workflows
- Practical insights into building neutral, open, and scalable infrastructure
Organizer Introduction
Data For AI is Silicon Valley's most influential data and AI professional community, bringing together over 5,000 elite professionals in the field. 37% are C-level executives or founders, 40% are frontline developers, and the remainder include well-known venture capitalists, academic researchers, and students. It is renowned for its in-depth technical exchanges and industry insights. (https://datafoundation.org/)
Datastrato is dedicated to building a leading open data weaving platform to accelerate the deployment of trusted AI. As the original creator of the Apache Gravitino open-source project, it provides a unified metadata management platform supporting multi-cloud, multi-engine, and multi-modal scenarios, and has become a key technological pillar in the AI infrastructure field. (https://datastrato.ai/)
AIsa focuses on building paid resource access capabilities for Agentic AI's tool use and external context, covering key AI-native resources such as Inference Tokens, GPU computing power, licensed data, and search APIs. Based on mainstream AI payment protocols (x402, AP2, ACP, UCP) and AIsa's self-developed micro-payment network and clearing system, it supports AI-native billing models such as Pay Per Call, Pay Per API, Pay Per Crawl, and Pay Per Use . (www.aisa.one)
Event Details
Time: 17:30–21:00, January 28, 2026 (Pacific Time)
Location: 883 N Shoreline Blvd d100, Mountain View, CA 94043
Registration link: https://luma.com/peqj9yen
