
ZGI is an enterprise AI foundation that ingests, cleans, and structures data to build governed AI systems using knowledge graphs, multi-recall, and workflow…
ZGI provides an enterprise AI foundation that ingests, cleans, and structures company data and documents, then uses knowledge graphs, multi-recall, and workflow orchestration to build governed AI systems for business use. It targets teams that need an integrated platform to manage data, models, and tools while enforcing governance and access controls. The product emphasizes a unified workflow for building and operating AI agents across the organization.
ZGI offers a platform designed to manage the life cycle of AI agents, from design to execution. It includes a product workspace where users can design agents, orchestrate workflows, query databases in natural language, and oversee model providers and governance rules. The system aims to connect data, tools, models, and skills into one cohesive agent platform.
ZGI features a runtime for agents to load Skills, use company knowledge, access live data, call tools, and return results. It supports a persistent identity, planned multi-channel connections, and a governance layer that controls access, quotas, routing policies, and audit trails. The roadmap indicates ongoing development and public code contributions.
ZGI presents an open, built-in public stack, with a plan to reveal its code and allow deployment in user environments.
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