Phasis Inc. has launched a platform designed to provide orientation for AI agents within enterprise environments. The company utilizes graph-based structures to map cultural and domain-specific data, allowing agents to better comprehend real-world contexts and make informed decisions.
The core of the offering is the World API, which provides an evidence-backed state of a specific domain. By deploying these World models, Phasis aims to ensure that agents remain updated as circumstances change, rather than relying on static information.
The platform features a primary endpoint called /orient. Before initiating tasks, agents can use this endpoint to retrieve relevant World frames, which include current states, material changes, supporting evidence, and identified uncertainties.
CEO Brandon Farley stated that the company focuses on bridging the gap between rapid advancements in AI reasoning and the need for deep domain expertise. Phasis positions its technology as a resource for deploying production-ready agentic systems.
