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Phasis is building a "World API" that provides AI agents with verified, real-time context about cultural domains and values, addressing the current bottleneck where reasoning scales faster than world knowledge. By using graph-based ontologies to map these reality layers, the platform aims to give enterprise agents the specific expertise needed to navigate complex, changing environments effectively. This approach moves beyond generic data retrieval to provide grounded orientation for autonomous systems in production settings.
Sources coveringSiliconANGLE, Latent Space, prnewswire.com, arXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Phasis develops platform for agentic orientation using World APIs and reality layers

SiliconANGLE4 min read

When the founders at Phasis Inc. sought to develop a platform for orienting AI agents, they turned to graphs as a way to obtain a measurement of culture. The company wanted to better understand relations not just between people, but between a person and their values, beliefs and subcultures. The goal was to map culture […] The post Phasis develops platform for agentic orientation using World APIs and reality layers appeared first on SiliconANGLE.

When the founders at Phasis Inc. sought to develop a platform for orienting AI agents, they turned to graphs as a way to obtain a measurement of culture. The company wanted to better understand relations not just between people, but between a person and their values, beliefs and subcultures. The goal was to map culture in ways that agents could comprehend what culture was composed of and make decisions based on its fast-changing nature. “The realization after…

Excerpt shown under the publisher's RSS terms · 77 words · full text and figures are on the publisher's site

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