Runlayer Raises $30M Series A to Help Enterprises Go All In On AI

Runlayer, a platform focused on enabling enterprises to become AI-native, has successfully secured $30 million in a Series A funding round led by Felicis, with notable participation from Khosla Ventures. This recent capital injection brings Runlayer's total funding to $42 million as of June 24, 2026. The funds will be allocated towards enhancing the company's engineering capabilities and expanding its go-to-market teams, positioning it for accelerated growth in the burgeoning AI sector.

Founded by Andrew Berman, a seasoned entrepreneur with a background in AI at Zapier, Runlayer provides organizations with a comprehensive platform that allows employees to delegate real work to AI agents. The platform aims to bridge the gap between AI adoption and control, addressing a critical challenge faced by enterprises today. With a client roster that includes Fortune 500 companies and high-growth firms like Instacart, Gusto, and Opendoor, Runlayer is poised to capitalize on the increasing demand for AI integration in the workplace.

The strategic rationale behind this funding round is underscored by the growing recognition of the need for secure and scalable AI solutions. As enterprises navigate the complexities of AI implementation, Runlayer offers a unique value proposition by combining security, observability, and cost control within a single platform. This enables organizations to manage multiple AI clients and agents seamlessly, ensuring that employees can utilize AI tools without compromising security or operational efficiency.

The funding from Khosla Ventures and Felicis reflects a broader trend in the technology sector, where investors are increasingly focused on companies that provide comprehensive solutions to the challenges of AI integration. As enterprises grapple with the dual pressures of adopting innovative technologies while maintaining oversight, Runlayer's platform emerges as a critical infrastructure for the future of work. The backing from prominent venture capital firms not only validates Runlayer's business model but also signals confidence in its potential to reshape how organizations leverage AI.

Looking ahead, the implications of this funding round extend beyond Runlayer itself. As AI continues to permeate various industries, the demand for robust governance frameworks will intensify. Companies that can successfully navigate the balance between leveraging AI for operational efficiency and ensuring security will likely gain a competitive edge. Runlayer's approach to creating a controlled environment for AI deployment positions it as a key player in the ongoing evolution of the enterprise landscape, where becoming AI-native is not just an advantage but a necessity for survival.