AI Deployment & Governance
Provides a managed runtime for AI-built applications, ensuring secure deployment with features like managed authentication, an app registry, and comprehensive governance.
Tray.ai provides an enterprise orchestration platform for data and AI, focusing on deploying and governing AI-built applications with security, visibility, and cost management. Its Tray Helix product offers a governed runtime for AI applications, while its iPaaS solution integrates data and AI across over 700 connectors. The platform aims to accelerate AI adoption and improve operational efficiency by providing robust governance and automation capabilities.
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“Tray.ai provides a governed runtime for AI-built applications and offers integration, automation, and AI agent capabilities with built-in governance across its platform.”
Tray.ai offers an enterprise orchestration platform designed for managing data and AI. Its core offering, Tray Helix, provides a governed runtime environment for AI-built applications, enabling teams to deploy AI solutions securely with features such as managed authentication, an app registry, execution logs, and cost management. This aims to address common challenges in AI deployment, including the low rate of AI builds reaching production, unidentified AI agents in environments, and lack of access controls.
Beyond AI application deployment, Tray.ai's iPaaS (Integration Platform as a Service) integrates data and AI across more than 700 connectors. This includes tools for building AI agents, a gateway for Model Context Protocol (MCP) governance, intelligent integration and automation, and comprehensive iPaaS governance features like RBAC, audit trails, and security. The platform supports both low-code visual development and code-based approaches, aiming to accelerate integration delivery and reduce operational costs compared to legacy iPaaS solutions.
Provides a managed runtime for AI-built applications, ensuring secure deployment with features like managed authentication, an app registry, and comprehensive governance.
Offers an iPaaS solution to integrate data and automate workflows across a wide range of applications, supporting both traditional and AI-driven processes.
Enables the creation of AI agents that can reason, act, and learn, supported by a no-code builder, guardrails, and a composable agent hub.
Delivers an Agent Gateway for MCP to manage and secure how AI agents interact with tools and data, mitigating security and cost risks associated with unmanaged MCP.
Provides tools for attributing LLM, token, and compute spend per app and team, with budget and cap functionalities, alongside real-time visibility into AI application activity.