Barndoor Launches AI-to-App Connector
Barndoor has launched Venn.ai, a standalone product designed to securely connect AI tools to business applications. The platform is built on the company's experience in AI access controls and governance. It aims to provide enterprises with a simple and safe way to integrate AI capabilities into their existing apps while maintaining full control.
- Barndoor AI, the company behind Venn.ai, was founded in 2024 and secured $13.6M in seed funding in May 2025. The round was led by Crosslink Capital, with the funds intended to expand the company's development and operations. - The company's leadership team has a background in enterprise AI and secure API management. CEO and co-founder Oren Michels previously founded Mashery, an API management company acquired by Intel for a reported $180 million, indicating experience in building and scaling enterprise-grade infrastructure. - Venn.ai is designed to address significant security and governance gaps in enterprise AI adoption. As of early 2026, 40% of organizations cite security and compliance as the primary barrier to scaling agentic AI, a problem Barndoor aims to solve by providing granular access controls and audit trails for AI agents. - The platform functions as a "control plane" for agentic AI, a trend Gartner identified as a top technology for 2025. This allows enterprises to manage and monitor AI agents from different vendors in one place, enforcing policies before they access sensitive systems or data. - For supply chain and logistics, this technology aligns with the move towards agentic AI for warehouse automation and inventory management. These AI agents can autonomously make decisions to optimize stock levels and warehouse operations by connecting to and acting on data from various business systems. - Venn.ai's approach focuses on providing action-oriented integrations, not just read-only access. This allows AI tools to perform tasks like updating records or sending messages in applications such as Salesforce and Jira, moving beyond simple data retrieval.
