AI Deployment & Governance
Provides Tray Helix, a managed runtime for AI-built applications, ensuring secure deployment, visibility, and cost management from development to production.
Tray.ai provides an enterprise orchestration platform for data and AI, focusing on deploying and governing AI-built applications and integrating systems. It offers tools for AI agent development, process automation, data integration, and API management, alongside robust governance features. The company recently introduced Tray Helix, a governed runtime environment for AI applications.
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“Tray.ai's approach focuses on providing a unified platform for AI and data orchestration, ensuring governance and rapid deployment for AI-built applications and integrations.”
Tray.ai offers an enterprise orchestration platform designed for data and AI, enabling organisations to build and manage AI agents, integrate over 700 applications, and automate business processes. The platform is built with AI-native capabilities, distinguishing it from traditional iPaaS solutions by providing a consolidated environment for integration, automation, and AI governance. It aims to accelerate data delivery for AI models, reduce operational costs by consolidating tooling, and connect AI across the entire technology stack.
Key offerings include Tray Helix, a governed runtime for deploying AI-built applications with integrated security, visibility, and cost management, and Tray iPaaS, which focuses on integrating data and AI through features like a no-code AI agent builder, an Agent Gateway for Model Context Protocol (MCP) governance, and intelligent integration capabilities. The platform incorporates comprehensive governance features such as RBAC, audit trails, analytics, and compliance across all agent actions and workflows.
Provides Tray Helix, a managed runtime for AI-built applications, ensuring secure deployment, visibility, and cost management from development to production.
Offers Merlin Agent Builder for creating conversational or autonomous AI agents with no-code tools, guardrails, and a composable agent hub.
Enables integration and automation across a full stack with process automation, data integration, and API management, using 700+ connectors.
Features an Agent Gateway for MCP to manage and secure AI agents interacting with tools and data, mitigating risks associated with unmanaged MCP.
Implements enterprise SSO, managed authentication for credentials, and scoped access to ensure application security and prevent hardcoded secrets.
Provides tools for attributing LLM, token, and compute spend per application and team, allowing for budget setting and caps.