<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Professional AI Agent Platform]]></title><description><![CDATA[Professional AI Agent Platform

Build and deploy intelligent AI Agents that understand, reason, and act safely.
iNAGO’s netpeople platform powers professional AI Agents for vehicles, factories, equipment, and enterprise environments — with evaluation, hybrid AI, and governance built in.]]></description><link>https://www.inago.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Tue, 23 Jun 2026 02:24:59 GMT</lastBuildDate><atom:link href="https://www.inago.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[iNAGO Showcases netpeople 3.0 and AI Evaluation Technology at JSAE 2026]]></title><description><![CDATA[iNAGO Showcases netpeople 3.0 and AI Evaluation Technology at Automotive Engineering Exposition 2026 Yokohama, Japan — May 2026 iNAGO recently participated in Automotive Engineering Exposition 2026 (JSAE) in Yokohama, Japan as part of the Ontario Pavilion through the Ontario Trade Mission. The exhibition brought together leading automotive manufacturers, suppliers, and technology companies to explore the future of mobility, connected systems, and intelligent products. During the event, iNAGO...]]></description><link>https://www.inago.com/post/_%E3%82%BF%E3%82%A4%E3%83%88%E3%83%AB</link><guid isPermaLink="false">69d45f3976401abf0cb347ec</guid><category><![CDATA[Events & Exhibitions]]></category><pubDate>Sat, 06 Jun 2026 01:35:16 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/34cd01_99f6f65805d048359fc245a484f67510~mv2.jpg/v1/fit/w_1000,h_924,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Ron Di Carlantonio</dc:creator></item><item><title><![CDATA[Research: Evaluating Generative AI Agents]]></title><description><![CDATA[Evaluating Generative AI Agents From Academic Research to Real-World AI Evaluation As organizations increasingly deploy AI Agents into products, services, vehicles, and operational systems, a critical challenge has emerged: How do you measure whether an AI Agent is actually performing well? While generative AI has made it easier than ever to build intelligent assistants, evaluating their quality, accuracy, completeness, and reliability remains one of the most difficult problems in the...]]></description><link>https://www.inago.com/post/test-article</link><guid isPermaLink="false">6a164e62b22ef328630e804c</guid><category><![CDATA[Research & Publications]]></category><pubDate>Wed, 27 May 2026 01:56:42 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/894417_6b02363011884eadb1701ea065a7b384~mv2.png/v1/fit/w_739,h_801,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Ron Di Carlantonio</dc:creator></item></channel></rss>