Runlayer announced it raised $30 million in Series A funding to help enterprises become AI-native. The round was led by Felicis, with participation from Khosla Ventures. The latest funding brings Runlayer’s total capital raised to $42 million.
Runlayer provides a platform that gives employees a secure and sanctioned way to delegate real work to AI agents while giving enterprises the governance, visibility, and control needed to manage AI adoption at scale.
The company said its platform is designed to solve a growing enterprise challenge: enabling widespread AI usage without losing control over security, observability, permissions, compliance, and cost. Runlayer gives employees a “golden path” for using AI agents across everyday work, while giving IT, security, and AI transformation teams a centralized control plane.
Runlayer’s customers include Fortune 500 companies and high-growth businesses such as Instacart, Gusto, Decagon, Opendoor, dbt Labs, AngelList, and Lemonade. The company has also attracted engineers and operators from NVIDIA, Anthropic, Cursor, Databricks, Snowflake, Uber, Meta, Google, Block, Palo Alto Networks, Glean, Vercel, Applied Intuition, and Zapier.
Runlayer enables teams to use AI clients, agents, MCPs, skills, plugins, or create agents on demand by describing the work they want completed. The platform connects tools, permissions, and company context so agents can work across systems such as CRM platforms, Atlassian, Notion, meeting notes, and data warehouses.
For AI transformation teams, Runlayer provides a single control plane and interoperability layer across the enterprise AI stack. The platform supports the multiple AI clients commonly used across enterprises, including IDEs, chat clients, vertical AI apps, independent agents, and platforms such as Salesforce Agentforce.
For security and IT teams, Runlayer provides observability and control over agent, token, and model usage. The company said its static and dynamic security models provide full-session observability into every call, helping detect risks such as prompt injection, tool poisoning, output manipulation, exfiltration, and intent drift.
Runlayer Watch also helps identify shadow MCPs, skills, plugins, clients, and unmanaged agents, routing employees toward approved tooling instead of relying on blanket bans.
The company is led by Andrew Berman, Co-founder and CEO. Berman is a three-time founder who most recently served as Director of AI at Zapier, where he worked closely with OpenAI and Anthropic.
Runlayer plans to use the funding to expand its engineering and go-to-market teams.
KEY QUOTES:
“Every employee will delegate their work to swarms of agents. Not as a novelty, and not as a side tool, but as a core part of how work gets done. AI-maximalist companies already understand the future is not a handful of power users experimenting with agents, but entire workforces operating alongside them. The challenge is that most companies still do not have a secure, scalable way to make that possible. That is the problem Runlayer exists to solve.”
Andrew Berman, Co-founder and CEO of Runlayer
“Runlayer is solving one of the most important enterprise problems of this moment: how to adopt AI at scale without losing control. This is the right team, in the right market, at the right time, which is why Felicis pre-empted this round. In fact, you’d be hard pressed to find a team that more deeply understands the entire ecosystem. When we introduced Runlayer to AI teams and CISOs in our network, the response was immediate and overwhelming; this is exactly the infrastructure enterprises have been waiting for. We’re proud to have led the series A and to double down on Runlayer as the golden path for every workforce going AI-native.”
Jake Storm, General Partner at Felicis
“Runlayer is one of those rare companies where the consequences of success are so large that almost nothing else matters. The team has found a powerful wedge by giving enterprises the solution they need to become AI-enabled. Their execution has been exceptional and adoption is accelerating because they are solving a problem no one else really delivers end-to-end, making them the first solution that makes it easy to become AI native versus trying to stitch together multiple point solutions.”
“Once it became clear Runlayer could become the agentic interaction fabric of the future, Vinod and I wanted to buy every available dollar of the round.”
Jon Chu, Partner at Khosla Ventures
“What makes Runlayer especially exciting is that this is not just a point solution for today’s AI adoption. As agents become ubiquitous, every employee will own tens or even hundreds of agents, and enterprises will need a new security fabric that governs how those agents access systems, handle data, and share information. Runlayer has the potential to become that foundational layer for the AI-enabled enterprise that every company must inevitably become to stay relevant.”
Vinod Khosla
