{
  "id": 9292757,
  "title": "Palma.ai raises $1.8M to bring governed AI agents to more enterprises",
  "url": "https://urgent.news/2026/09/23/palma-ai-raises-1-8m-to-bring-governed-ai-agents-to-more-enterprises",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T07:09:34.000Z",
  "source": {
    "name": "Tech.eu",
    "slug": "tech-eu",
    "url": "https://tech.eu/2026/09/23/palmaai-raises-18m-to-bring-governed-ai-agents-to-more-enterprises/"
  },
  "original_language": "en",
  "account": "Palma.ai, an enterprise platform designed to govern AI agents during runtime, has secured $1.8 million in pre-seed funding to expand its reach among businesses. The round was spearheaded by venture capital firm D11Z, with additional backing from Plug and Play Ventures, Deel, Scale Now Ventures, and a group of angel investors, including former executives from Cisco and Deel. This funding will enable the company to bolster its sales and engineering teams, as they aim to deploy the platform to more enterprise customers leveraging AI agents.\n\nFounded by Patrick Eden as CEO and Julian Kolbe as CTO, Palma.ai is tackling the complexities enterprises encounter as AI transitions from chatbots to a diverse ecosystem of external and internal agents designed for task execution. These agents often utilize the Model Context Protocol (MCP), an open standard that links AI models to a company's internal data. However, MCP functionalities alone do not address the challenge of centralizing permission management and auditing capabilities for these AI agents. Individual AI tools typically manage their own permissions, leaving it difficult for IT and security teams to maintain comprehensive control and oversight.\n\nTo address this, Palma.ai has developed a unified integration and governance layer that facilitates interactions between users and AI agents across an organization, irrespective of the AI products being employed. Through this platform, administrators can centrally establish policies, MCP tools, and Skills, which define approved, repeatable workflows, such as updating CRM systems or generating financial reports. These controls can be applied across a variety of AI models and platforms, including Claude, Gemini, Microsoft Copilot, and custom workflows.\n\nCentral to Palma.ai's approach is its ability to enforce predefined rules at runtime, restricting agents to only approved actions and meticulously logging all activities in a tamper-evident audit trail. This ensures that employees can access connected AI agents within company systems while security and compliance teams retain centralized oversight. Speaking on the initiative, Patrick Eden, CEO and co-founder of Palma.ai, emphasized: \"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 plans to use the recently acquired funding to further develop its go-to-market strategy and expand its engineering team to cater to a broader range of enterprise customers deploying AI agents.",
  "summary": "Palma.ai, an enterprise platform for governing AI agents atruntime, has raised $1.8 million in pre-seed funding. The round was led byD11Z, with participation from Plug and Play Ventures, Deel, Scale N...",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}