Palma.ai Secured $1.8 Million in Pre-seed Funding
The startup raised capital to develop its integration and governance layer for enterprise AI agents.
Updated on Sept. 23, 2026 in Artificial Intelligence
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Palma.ai has raised $1.8 million in a pre-seed funding round led by D11Z. The company provides a centralized governance layer designed to monitor and manage AI agent activity.
Why it matters
The investment aims to solve enterprise challenges regarding the central control and auditing of how AI agents interact with internal systems. By enforcing action policies, the platform helps companies manage security risks associated with autonomous tools.
The platform functions as a runtime integration layer that restricts AI agents to approved actions and maintains an audit trail. It currently supports models such as Claude, Gemini, and Microsoft Copilot.
The players
Patrick Eden
Patrick Eden serves as the chief executive officer of the AI governance startup Palma.ai.
Julian Kolbe
Julian Kolbe is the chief technology officer and co-founder of the software company Palma.ai.
D11Z
D11Z is an investment firm that led the pre-seed funding round for Palma.ai.
Plug and Play Ventures
Plug and Play Ventures is a global innovation platform and venture capital firm that participated in the financing.
Deel
Deel is a global payroll and compliance platform that joined the funding round as a strategic investor.
The details
Palma.ai intends to utilize the new capital to scale its engineering capacity and expand its go-to-market operations. Its governance layer acts as a safety mechanism for businesses deploying AI agents across internal infrastructure.
Timeline
September 23, 2026: Palma.ai officially announced the completion of its pre-seed funding round.
The Tech Race
As enterprises increasingly adopt autonomous AI models like Microsoft Copilot, the market is shifting toward specialized middleware that ensures system security. This trend mirrors the historical rise of identity management software that became essential for securing cloud infrastructure.
For organizations deploying AI, this technology offers a practical way to automate security compliance without hindering developer workflows. Business users can expect more granular control over how internal data is accessed by third-party AI agents.
The takeaway
Governance layers are becoming a critical component of the corporate tech stack as AI agents gain more autonomy over sensitive data. Businesses should prioritize evaluating these middleware solutions to maintain auditability and security during their digital transformation.
Further reading
For more information on the evolving ecosystem of machine learning tools, visit our Artificial Intelligence section.
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Do you trust businesses to safely manage AI agents that have access to internal systems?
