Pylar.ai

Pylar is a specialized platform designed to enable safe and governed access to structured data for AI agents. Founded by data and operations leaders from fast-moving SaaS startups, Pylar addresses a critical challenge: scattered data across tools that is difficult to govern and risky to expose to AI agents. While agents excel at processing unstructured data like documents and websites, granting them access to internal databases often leads to security vulnerabilities, prompting teams to either block agents or compromise governance. Pylar solves this by allowing companies to define custom governed data views, which are transformed into secure MCP (Model Control Protocol) tools publishable to any AI agent builder. This empowers agents to leverage structured internal data securely, consistently, and at scale. Key to Pylar's approach is maintaining control through built-in evaluations, guardrails, and oversight mechanisms, ensuring data integrity and compliance. The platform stems from real-world experiences where founders Hoshang and Vishal repeatedly encountered data silos hindering AI adoption. By bridging this gap, Pylar enables teams to unlock the full potential of AI agents without sacrificing trust or security. It supports seamless integration with agent orchestration platforms, making it ideal for enterprises scaling AI-driven workflows. Whether querying customer records, operational metrics, or proprietary datasets, Pylar ensures responses are accurate, auditable, and permissioned. As AI agents proliferate, Pylar positions itself as essential infrastructure for governed data utilization, fostering innovation in agentic applications while mitigating risks associated with data exposure.