Felicis and Khosla Ventures double down to help Runlayer bring AI enablement and governance to the entire enterprise workforce

NEW YORK, June 24, 2026 /PRNewswire/ -- Runlayer, the platform helping companies become AI-native, today announced a $30 million Series A led by Felicis, with participation from Khosla Ventures. This brings Runlayer's total capital raised to $42 million.

Runlayer gives every employee a golden path to delegating real work to agents, with AI enablement and control built into one platform. The platform's customers include Fortune 500s and high-growth companies such as Instacart, Gusto, Decagon, Opendoor, dbt Labs, AngelList, Lemonade, and more. Runlayer has attracted engineers and operators from NVIDIA, Anthropic, Cursor, Databricks, Snowflake, Uber, Meta, Google, Block, Palo Alto Networks, Glean, Vercel, Applied Intuition, and Zapier.

In the future, people will go from asking AI questions, to delegating tasks, to directing agents, to supervising self-directed agents on whole missions. The most effective way for enterprises to be truly AI-native is for every employee's tens-to-hundreds of agents to be governed by an interoperability layer—with security, observability, and cost control built in.

Today's AI tools still force enterprises into an impossible tradeoff between adoption and control. Lock AI down and employees will use whatever helps them move faster anyway. Open the gates without control and security teams lose the visibility they need to move confidently. The companies that succeed are the ones that make using AI both safe and cost-effective for every employee.

Runlayer gives companies a golden path: a sanctioned way for employees to use and direct AI agents across their everyday work. When the right way is also the easy way, it becomes the default.

With Runlayer:

• Teams can use any AI client, agent, MCP, skill, or plugin, or create agents on demand by describing the work they want done. Runlayer gives them a sanctioned golden path with the right tools, permissions, and company context already connected, so agents can work across systems like CRM, Atlassian, Notion, meeting notes, and the data warehouse.

• AI transformation teams get a single control plane and interoperability layer across the enterprise AI stack. Runlayer supports the 5–20 AI clients the average enterprise uses, including IDEs, chat clients, vertical AI apps, independent agents, and platforms like Salesforce Agentforce. Teams get one managed home for all agentic work in the enterprise, with identity, permissions, policy enforcement, audit logs, and real-time visibility tied to every action.

• Security and IT teams use the same control plane to secure AI activity and uncover shadow AI. Runlayer combines security, observability, and cost control in one layer, with control over agent, token, and model consumption across the platform. Static and dynamic security models give full-session observability into every call, catching prompt injection, tool poisoning, output manipulation, exfiltration, and intent drift. Runlayer Watch identifies shadow MCPs, skills, plugins, clients, and unmanaged agents, routing employees toward approved tooling instead of relying on blanket bans.