Guild.ai — The Control Plane for AI Agents

Guild.ai provides the neutral control plane and governance infrastructure for enterprises running AI agents in production, offering visibility, access controls, authorization, workspaces, audit capabilities, and an agent hub for discovering and sharing agent capabilities. Founded in 2025 and based in San Francisco, the company has raised $44 million led by GV.

• Founded: 2025
• HQ: San Francisco, CA
• Sector: Agentic AI Infrastructure / Enterprise AI Governance
• Funding Stage: Series A (following $14M Seed)
• Notable Backers: GV (Google Ventures), Khosla Ventures, NFX, Acrew Capital

Core Data Grid

Guild.ai Leadership & Structural Breakdown

• Key Leadership: James Everingham (Co-Founder & CEO) — previously part of Meta’s Developer Infrastructure team.
• Primary Competitors: LangChain, CrewAI, Glean
• Core Use Cases & Market Problem: Enterprises deploying multiple AI agents that need centralized visibility, security guardrails, access controls, and governance before agents can safely interact with internal systems and data at scale.

Plain English Explanation

Guild.ai acts as the central management and oversight layer for AI agents. Instead of agents operating in isolation with unclear permissions or activity logs, companies get a single control plane to authorize, monitor, limit, and share what their agents can do across the organization.

Target Customers & Adoption Context

Large enterprises and engineering organizations that are moving beyond experimentation into production deployment of AI agents. These teams need production-grade controls similar to those used for traditional software services, including authorization, audit trails, and the ability to discover and reuse trusted agent capabilities.

Capital & Traction Signals

Rapid capital raise of $44M ($14M Seed + $30M Series A) within a short window, led by GV with participation from Khosla Ventures and others, resulting in an approximately $300M valuation. Early customer engagement includes Turo, where engineering leadership has publicly noted the value of visibility and governance for expanding agent usage. The founding team’s background in large-scale developer infrastructure at Meta provides relevant experience for building production control systems.

Investor Lens

Guild.ai addresses a critical emerging bottleneck in the 2026 agentic AI cycle: the gap between easily building agents and safely operating them at enterprise scale. As organizations move agents into production environments that touch real systems and data, demand for independent governance and control infrastructure is rising quickly. The combination of GV and Khosla backing, a founder with Meta Dev Infra experience, and visible early customer traction provides strong validation signals. Momentum will depend on depth of integrations with major enterprise systems and the ability to maintain a neutral, trusted position across competing agent frameworks. Key watchpoints include execution risk in a fast-moving space and competition from both open-source tooling ecosystems and larger platform players adding governance features. The focused infrastructure layer approach offers clear defensibility if Guild can become the default control plane for production agent deployments.

Last Updated: June 2026

Sources

• guild.ai (company site and announcements)
• Axios reporting on funding round
• LinkedIn company updates and investor announcements
• Customer references (Turo)