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A control plane that lets engineering teams deploy, monitor, and govern AI agents in production across any model or framework.
Guild.ai is infrastructure for teams running multiple AI agents in production. It sits on top of existing agent frameworks — LangChain, CrewAI, OpenAI's SDK, or custom code — without requiring a rewrite, and adds cost tracking and budgets, an agent catalog, credential-scoped security with approval gates, and tracing and evaluation for monitoring agent performance. It's built for engineering teams that already have several agents running and need centralized visibility rather than teams building their first one. Guild.ai emerged from stealth in 2026 with a $44 million Series A round, led by CEO James Everingham, a former Meta engineering VP, and is based in San Francisco. Pricing is not published; the site offers a free trial and a no-signup spend-estimation tool.
No plan prices are published; the site offers a free trial and directs prospective customers to a demo or sales conversation.
Use tool ↗Guild targets a real gap: once a team has more than a couple of agents in production across different frameworks, nobody has one place to see cost, behavior, and risk. Backing from a $44 million Series A and leadership with enterprise engineering credentials support the pitch, but it's brand new, so there's no independent track record yet on how well the governance features hold up at scale.
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