A New York-based startup, Runlayer, has secured $30 million in Series A funding to expand its platform for enterprise AI governance and agent management.

What Happened

The round was led by Felicis, with participation from existing investor Khosla Ventures. The financing brings the company's total funding to $42 million since its launch and provides new capital to grow its engineering and go-to-market teams.

Runlayer develops software designed to help companies manage the growing number of AI tools, agents, and applications being used across their organizations. As enterprises move beyond experimentation and begin embedding AI into day-to-day workflows, many face a challenge balancing employee adoption with the controls required by security, IT, and compliance teams.

Background and Context

Runlayer's platform serves as a centralized control layer for enterprise AI activity, allowing employees to deploy and manage AI agents while providing organizations with visibility into usage, permissions, security risks, and associated costs. The company argues that this infrastructure will become increasingly important as AI agents evolve from productivity tools into systems capable of independently executing complex business tasks.

According to Runlayer's co-founder and CEO Andrew Berman, "Every employee will delegate their work to swarms of agents." He notes that the challenge is that most companies still do not have a secure, scalable way to make this possible. The company has already been adopted by Fortune 500 enterprises and high-growth technology companies such as Instacart, Gusto, Decagon, Opendoor, dbt Labs, AngelList, and Lemonade.

Why It Matters to the Industry

The rise of AI adoption in the enterprise is a significant trend that has far-reaching implications for industries beyond adult entertainment. As companies increasingly rely on AI agents to automate tasks and make decisions, they must also ensure that these systems are secure, compliant, and transparent.

Runlayer's platform addresses this need by providing a centralized control layer for AI activity, allowing organizations to manage access, usage, and security risks associated with AI agents. This is particularly relevant in industries where data privacy and security are paramount, such as healthcare and finance.

What Comes Next

The new funding will enable Runlayer to expand its engineering and go-to-market teams, further developing its platform and increasing its reach within the enterprise market. As AI adoption continues to grow, it is likely that companies like Runlayer will play a critical role in ensuring that these systems are secure, compliant, and transparent.

Key Facts

  • Runlayer has secured $30 million in Series A funding led by Felicis with participation from Khosla Ventures.
  • The company's total funding now stands at $42 million since its launch.
  • Runlayer develops software designed to help companies manage AI tools, agents, and applications across their organizations.
  • The platform serves as a centralized control layer for enterprise AI activity, providing visibility into usage, permissions, security risks, and associated costs.
  • Runlayer has already been adopted by Fortune 500 enterprises and high-growth technology companies such as Instacart and Gusto.

The rise of AI adoption in the enterprise is a significant trend that has far-reaching implications for industries beyond adult entertainment. As companies increasingly rely on AI agents to automate tasks and make decisions, they must also ensure that these systems are secure, compliant, and transparent. Runlayer's platform addresses this need by providing a centralized control layer for AI activity, allowing organizations to manage access, usage, and security risks associated with AI agents.