We believe every person will eventually work with many agents.
In the future, people will go from asking AI questions, to delegating one-off tasks, to directing agents, to supervising self-directed agents on entire workflows.
Today we've raised $30 million in Series A funding from Felicis and Khosla Ventures to enable every company to build towards this future. This brings our total funding to $42 million.
Enterprises are ready to stop treating AI like an experiment and start making it part of their core strategy. The problem? No platform actually enables employees to build agents while also providing the security and controls needed. That's why we've built Runlayer.
Since coming out of stealth 6 months ago, we've already signed some of the fastest-growing companies like Instacart, Gusto, Decagon, Opendoor, dbtLabs, AngelList, Lemonade, and a number of Fortune 500s. They all want the same thing: to allow their teams to move fast, without losing control.
The Golden Path for AI
Today, engineers and technical teams are the main power users of AI. But soon, every part of the business will be delegating specific tasks to fleets of agents across every level of the org chart.
That future requires a new kind of infrastructure: one that not only understands who the user is, but who their agent is and what both parties are allowed to see and do.
We are building the golden path for AI: enabling people to create agents wherever they work while giving security teams the confidence AI won't go rogue.
Many teams are trying to build this internally, but what starts as an idea to build an MCP gateway quickly spirals into something far more complex: identity scoped by tool, proper approvals, discovery and migration of shadow AI, runtime risk security and migration. The list of problems to solve goes on and on. Runlayer handles it all.
Runlayer bundles enablement, security, and control all into a single, model-neutral platform. We support 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, with identity, permissions, policy enforcement, audit logs, and real-time visibility tied to every action.
The AI landscape is changing quickly and productivity gains are unevenly distributed. Runlayer is closing the gap, enabling everyone to go all in on AI.
