Runlayer Sues Rippling Over Alleged AI Tech Theft: Corporate Risks Investors Must Watch

Runlayer, a startup developing a secure data infrastructure for AI models through its Model Context Protocol (MCP) gateway technology, has filed a lawsuit against HR software company Rippling, alleging it copied Runlayer's ideas and technology to develop its own products. Runlayer claims that during an extensive product trial with Rippling, it shared its product roadmap and source code, with both parties signing confidentiality agreements. However, after nearly a year of intensive engineering collaboration, the two sides failed to reach a price agreement, leading to the end of the trial. Runlayer alleges that a Rippling insider informed its founder, Andrew Berman, of an internal project to build a clone of Runlayer's technology, claiming it was a near-exact copy. Runlayer's lawsuit accuses Rippling of trade secret misappropriation, unfair competition, and breach of contract. Rippling has confirmed launching its own MCP gateway product, while denying Runlayer's allegations of IP misuse. Runlayer is represented by Sullivan & Cromwell. The lawsuit highlights the challenges of selling complex AI infrastructure to corporate customers, particularly to other tech companies, and the intensifying competition in the MCP gateway market. Since Anthropic launched the open-source MCP protocol in November 2024, the market has grown significantly, and Runlayer, which raised $42 million in funding including from Khosla Ventures and Felicis, has faced increased competition. These types of lawsuits reflect the long and complex sales processes enterprises often go through, as well as the growing trend of companies building their own solutions.
This lawsuit underscores the risks corporate customers face when purchasing AI infrastructure, while also highlighting the broader trend of enterprises developing in-house solutions. Investors will need to monitor how these risks influence their decision-making in the face of increasing competition and technological advancements.