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Guild.ai provides an infrastructure platform that helps organizations build, run, and manage many AI agents across different models and vendors. It offers a neutral control plane that unifies deployment, governance, and observability for AI agents, with features like centralized identity, access control, and complete audit logs. The platform includes components such as a Managed Agent Center and an Agent Hub for sharing trusted agents, plus tools for typed interfaces, versioned releases, and safe execution boundaries so agents behave like predictable systems rather than loose scripts. Originally starting as an open-source toolkit for automating machine learning experiments, Guild.ai now focuses on production AI governance and orchestration, aiming to create an ecosystem similar to GitHub for AI agents. The goal is to scale enterprise AI use by reducing shadow AI, improving reliability and collaboration across teams.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$44M
Headquarters
Chicago, Illinois
Founded
2015
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Introducing Guild Agent Hub: one place to discover, run, and share production-ready AI agents. James Everingham Article Index The future of AI is not a collection of isolated assistants. It is a new generation of operational systems built around agents. Today, Guild.ai, Inc. is introducing Guild Agent Hub, an open platform for discovering, running, and sharing AI agents built for real work. There is already a growing ecosystem of open-source agents, skills, plugins, and automations being continually improved by developers around the world. Teams should not have to start from scratch every time they want to put one of those capabilities to work. Agent Hub gives developers one place to find useful agents, integrations, and skills, understand how they work, connect them to the right tools, and run them on the Guild control plane. Think of it as bringing together the openness of ecosystems with the production controls enterprises need to run them safely and reliably. An open platform for agents. The agent ecosystem is expanding quickly. Developers are already creating capable open-source agents for code review, automation, research, workflow management, and software development. Many companies also have repositories full of internal skills and lightweight agents that solve useful, repeatable problems. Agent Hub is designed to become the place where developers can: * Discover well-adopted open-source agents and skills * Install them without rebuilding the underlying infrastructure * Connect them to enterprise tools and data * Run them with the right identity, permissions, and controls * Share them publicly or across their organization * Fork and improve them for new use cases Guild is the way to discover open agents through Agent Hub and run them inside the enterprise. Over time, its goal is to make it possible to operate any useful agent through the same governed production layer. Start with what already works. Teams should not have to rebuild every agent from first principles. Agent Hub makes it easier to take those existing projects and turn them into capabilities that developers can run with one click on Guild. Find agents built for real workflows. Agent Hub is not a gallery of one-off prompt demos. It's a place to discover agents designed to solve practical problems across engineering, operations, productivity, and workflow automation. You can browse by use case, workflow, tool, or environment, then inspect an agent before deciding whether it fits what you are trying to do. The goal is simple: make it easier to start with something useful instead of rebuilding the same agent from scratch. Run agents on the Guild control plane. Finding an agent is only the beginning. To be useful in production, an agent needs to connect to real systems, operate with the right permissions, and run consistently across changing conditions. Guild provides the infrastructure required to operate those agents reliably, with visibility into what they are doing and control over how they interact with the rest of your stack. Share what works. The most useful agents should not remain trapped inside one project, repository, or team. Agent Hub makes it possible to publish agents publicly or share them internally, depending on how your organization works. Developers can fork agents for new use cases, improve existing implementations, and build on patterns that have already been tested by others. That means each successful agent can become a reusable building block rather than another isolated experiment. Move from experiments to production systems. The value of an agent is not measured by whether it can complete a demo. It's measured by whether it can become part of a dependable workflow. Agent Hub is built to surface agents that solve real problems, operate end-to-end, and can become part of the broader operational stack. The experience is straightforward: Browse. Find agents by use case, workflow, tool, or environment. Connect. Attach them to the tools, data, and systems they need. Deploy. Run them on the Guild control plane. Share. Publish agents for others to use, fork, and improve. Trusted and built for production realities. Production agents need more than intelligence. They need: * Visibility into what they are doing * Control over where and how they operate * Reliability across repeated workflows * Reusability so other developers and teams can build on what works Agent Hub brings those requirements together in one place. It gives developers a faster way to start with useful agents, and it gives organizations a clearer path from isolated experiments to governed, reusable systems. Discover agents. Run them on the Guild control plane. Share what you build with others.
Introducing the Guild Insights Dashboard. June 19, 2026 The first single view of how AI agents consume resources, drive usage, and incur costs SAN FRANCISCO, June 18, 2026 (GLOBE NEWSWIRE) - Tokenmaxxing or -minimizing might have dominated the conversation over the last few weeks, but at Guild.ai, the team knows the next phase of the token conversation is more about using tokens with purpose, visibility, and control as leaders ask the sharper question: what did all that spending actually deliver? Guild is building the control plane and infrastructure layer for the future, and today, they're adding to it with the introduction of the new Guild Insights Dashboard, which provides developers and organizations with detailed visibility into how their AI agents consume resources and incur costs. Organizations have watched their AI bills climb, and they've blown through their quarterly and even annual budgets, often without a full understanding of what exactly they've spent money on. Tech teams have responded by more closely scrutinizing every prompt, every model call, and every token spent. But focusing solely on token usage misses the bigger picture. Tokenmaxxing is simply an early signal of a much larger shift: organizations are beginning to operate hundreds of autonomous agents, yet most lack the tooling needed to observe, govern, and manage them reliably. The real problem isn't that organizations are consuming too many tokens. It's that they're deploying AI agents without the visibility and governance infrastructure required to manage them effectively. With Guild Insights, teams can now: * See spend in real dollars - exactly what AI is costing org-wide, not just raw token counts. * Trace it to the source - spend and tokens broken down by workspace, agent, user, provider, and model, each with its share of the total. * Track it over time - daily spend and usage across a 7/30/90-day window, compared to the previous period. * Spot what's avoidable - cache hit rate and input/output mix that show where cost is being wasted. The Insights Dashboard allows teams to figure out where they should focus their work on making their agents more efficient. By knowing how much they're spending on a particular agent, teams can determine what to improve to increase efficiency and impact. For teams that need deeper visibility, Guild Insights also provides agent-level breakdowns, allowing developers to understand exactly which agents are driving consumption. Organizations can further segment usage by provider, making it easy to compare spend across models and vendors. Whether a team is evaluating usage across Claude, Gemini, OpenAI, or other providers, leaders can quickly understand where resources are being allocated. This is only the beginning. Over time, Guild will continue expanding the visibility and governance capabilities available, such as: * Session-level usage analytics for deeper operational insights * Measure the token efficiency of agents * Budget enforcement at the agent and session level As organizations scale from a handful of agents to hundreds or thousands, the challenge will be managing an increasingly autonomous workforce of AI agents with the same level of visibility, accountability, and governance that companies expect from other critical business systems. With the Guild Insights Dashboard, organizations can confidently deploy AI agents, knowing they have the visibility and governance layers needed to manage them at scale. Learn more at Guild.ai. About Guild.ai Guild is the control plane for AI agents - a platform for building, deploying, governing, and sharing agents in production. It gives engineering teams a single place to manage how agents run, what they can access, and their costs. Guild is code-first, model-agnostic, and vendor-neutral, with security and governance built directly into the runtime. Teams can use pre-built agents, connect their own tools and APIs, and deploy custom agents using Guild's SDK. Guild has raised $44M, with a Series A led by Google Ventures, with participation from NFX, Acrew, Scribble Ventures, Khosla Ventures, and Webb Investment Network. Learn more at guild.ai. Media Contact: [email protected] AAPR aggregates press releases and media statements from around the world to assist its news partners with identifying and creating timely and relevant news. All of the press releases published on this website are third-party content and AAP was not involved in the creation of it. Read the full terms.
Guild.ai has launched the Guild Insights Dashboard, providing organisations with detailed visibility into how AI agents consume resources and incur costs. The platform addresses the challenge of managing AI spending, allowing teams to track expenditure in real dollars across workspaces, agents, users, providers and models. The dashboard enables organisations to monitor daily spend over 7-, 30- and 90-day periods, identify avoidable costs through cache hit rates, and conduct agent-level analysis to improve efficiency. Teams can compare usage across providers including Claude, Gemini and OpenAI. Guild.ai, which has raised $44 million in funding led by Google Ventures, plans to expand capabilities with session-level analytics, token efficiency measurements and budget enforcement. The San Francisco-based company positions itself as a control plane for building, deploying and governing AI agents at scale.
Guild.ai has launched what it describes as the first control plane for AI agents, providing organisations with infrastructure to manage, govern and scale AI agents in production environments. The platform offers a governed runtime for executing agents, a managed agent centre for internal publishing and versioning, and an agent hub for sharing capabilities across teams. The San Francisco-based company provides ready-to-deploy agents for workflows including ticket processing, code review and tech support. Guild integrates with enterprise systems such as GitHub, Jira, Slack and Notion, with secure OAuth-based access control. The platform is model-agnostic, supporting multiple AI providers whilst maintaining consistent governance. Guild.ai is backed by a $44 million Series A round from Google Ventures, NFX, Acrew, Scribble Ventures, Khosla Ventures and Webb Investment Network.
Guild.ai introduces the first control plane for AI agents. * 1 hr ago SAN FRANCISCO, April 29, 2026 (GLOBE NEWSWIRE) - Guild.ai today announced the availability of its platform, introducing what it calls the first control plane for AI agents. The release marks a shift in how organizations manage, govern, and scale AI agents in production environments. AI agents are already being deployed across enterprises to review code, triage issues, and automate workflows. As adoption accelerates, organizations face a new challenge: not whether agents are useful, but how to control them once they begin taking action across critical systems. Guild addresses this gap by providing a dedicated control layer between AI models and enterprise infrastructure. With Guild, every agent execution is governed, identity is enforced, access is controlled, and actions are fully traceable. "AI agents are becoming core to how work gets done, but most teams lack the infrastructure to manage them safely at scale," said James Everingham, CEO of Guild.ai and ex-VP of Meta Engineering. "This is an infrastructure problem - and now there's a solution." The Guild platform includes: * A governed runtime for executing agents * A Managed Agent Center for internal publishing, versioning, and reuse * An Agent Hub for sharing capabilities across teams and organizations * Starter agents and developer tools for building or integrating custom agents Guild provides ready-to-deploy agents for common workflows, including ticket processing, code review, Slack-based task creation, and internal tech support. All agents are versioned and governed by default. Guild integrates with widely used enterprise systems including GitHub, Jira, Slack, Notion, Zendesk, and Google services, with secure OAuth-based access enforced through the control plane. Teams can also extend the platform by registering custom APIs or building agents using Guild's SDK and CLI. Designed for a multi-model ecosystem, Guild supports multiple AI providers, allowing organizations to maintain consistent governance as models and vendors evolve. As AI adoption continues to grow, Guild positions its platform as foundational infrastructure for managing the full lifecycle of AI agents - bringing structure, visibility, and control to production systems. Guild is available starting today at guild.ai. Media Contact: About Guild.ai Guild is the control plane for AI agents, enabling teams to build, deploy, govern, and share agents in production. It is code-first, model-agnostic, and vendor-neutral, with governance and security built into the runtime. Backed by a $44M Series A from Google Ventures, NFX, Acrew, Scribble Ventures, Khosla Ventures, and Webb Investment Network. Learn more at guild.ai.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
11-50
Company Stage
Series A
Total Funding
$44M
Headquarters
Chicago, Illinois
Founded
2015
Find jobs on Simplify and start your career today