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$180–300K / year · San Francisco, California, US
Guild.ai builds a model-agnostic control plane for AI agents, giving enterprises observability, access control, governance and audit logging across agents in production, plus Agent Hub for sharing agents.
Guild.ai builds the control plane for AI agents: an independent infrastructure layer that gives enterprise leaders visibility over and authority over every agent running in production. The platform is deliberately model-agnostic and vendor-neutral, allowing engineering teams to deploy, govern and manage agents across Claude, GPT and Gemini and across any framework. Centralised identity, least-privilege access controls and immutable audit logging sit at its core, alongside policy enforcement and multi-model orchestration - the plumbing that turns a scattered fleet of agents into something an enterprise can actually stand behind.
The work spans the harder half of AI infrastructure: agent observability, access control and governance, audit logging and policy enforcement. For engineers who want to operate close to production systems and close to customers, this is infrastructure built under real enterprise constraints - security, reliability and accountability rather than demos.
Alongside the platform, Guild.ai maintains Agent Hub, a public, GitHub-like platform for discovering and sharing agents, where developers can build agents as real software and ship them as products. It reflects the company's stated mission: making building with AI as open and collaborative as open source.
Guild.ai has raised $44M in Series A funding and was founded by James Everingham, a second-time GV founder. The company operates in enterprise software, AI/ML and developer tools.