Palma.ai, an enterprise platform for governing AI agents at runtime, has raised $1.8 million in pre-seed funding. The round was led by D11Z, with participation from Plug and Play Ventures, Deel, Scale Now Ventures and angel investors, including executives from Cisco and Deel.
Founded by Patrick Eden (CEO) and Julian Kolbe (CTO), Palma.ai is addressing the challenges enterprises face as AI moves beyond chatbots towards an ecosystem of external and internally developed agents capable of executing tasks.
These agents often use the Model Context Protocol (MCP), an open standard that connects AI models with internal company data. While MCP provides this connectivity, individual AI tools typically manage their own permissions, making it difficult for IT and security teams to centrally control and audit how agents access and interact with company systems.
The company has developed a single integration and governance layer for users and AI agents across an organisation, regardless of the AI products being used. Administrators can use Palma.ai to centrally define policies, MCP tools and Skills that establish approved, repeatable workflows, such as CRM updates or financial reporting.
These controls can be applied across AI models and platforms, including Claude, Gemini, Microsoft Copilot and custom workflows. Palma.ai enforces the defined rules at runtime, limiting agents to approved actions and recording activity in a tamper-evident audit trail. The platform is designed to give employees access to agents connected to company systems while providing security and compliance teams with centralised oversight.
Patrick Eden, CEO and co-founder of Palma.ai, said:
Every company is about to give AI agents the keys to its systems. The question is whether anyone is watching the door.
We built Palma.ai so that enterprises can hand agents real permissions and still know exactly who did what, with which tool, under which policy across all the platforms an enterprise runs.
The company will use the funding to expand its go-to-market and engineering teams as it looks to bring the platform to more enterprise customers deploying AI agents.
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