MCP startup Runlayer accuses Rippling of stealing its product idea
Runlayer has filed a lawsuit against Rippling alleging trade secret misappropriation after a product trial that involved sharing source code and roadmaps.
Stock photo for illustration only, not from the actual event
- Runlayer is suing Rippling for trade secret misappropriation, unfair competition, and breach of contract.
- The lawsuit follows a product trial where Rippling gained access to Runlayer's source code and product roadmap.
- Rippling confirmed it is launching its own MCP gateway but denies misusing Runlayer's intellectual property.
Runlayer, a startup that offers a secure Model Context Protocol gateway enabling AI models and agents to securely pull outside data and tools, has filed a lawsuit against HR software startup Rippling, according to the complaint reviewed by TechCrunch.
This legal battle serves as a cautionary tale for companies selling complex AI infrastructure to enterprise clients, particularly major tech firms with enough engineering resources to build solutions independently. According to the court filing, Runlayer detailed an extensive product trial where Rippling participated as a prospective customer, during which the startup shared everything from its product roadmap to its actual source code.
Both parties signed a mutual non-disclosure agreement, alongside a product trial agreement featuring a standard boilerplate clause forbidding the copying of intellectual property or the creation of derivative works. However, Runlayer argues that Rippling's product must have been derived from its proprietary technology.
Stock photo for illustration only, not from the actual event
Rippling confirmed to TechCrunch that it is indeed launching its own MCP gateway, though a company spokesperson denied allegations regarding the misuse of Runlayer's intellectual property. To bolster its legal standing, Runlayer has retained the prestigious law firm Sullivan & Cromwell.
The market for Model Context Protocol gateways has grown increasingly competitive since Anthropic open-sourced the protocol in November 2024. As AI agents require secure conduits to external data, enterprise sales cycles often demand deep, hands-on trials, creating a delicate dilemma for startups that must expose core architectural concepts to prospective buyers who might ultimately choose to build solutions in-house.
Ultimately, both startups and enterprise buyers face intense pressure when navigating complex software trials, highlighting the fine line between evaluation and intellectual property exposure in the fast-paced AI infrastructure sector.
Source: TechCrunch
Found something wrong in this article? Report an issue with this article
Comments
Leave a Comment