Tray

Tray.ai is an enterprise-grade AI orchestration platform—with quote-based pricing typically starting around $600–$750/month for Pro plans and scaling into five- and six-figure annual contracts for Enterprise—that enables organizations to build, deploy, and govern AI agents and automated workflows at scale.

The platform provides a visual workflow builder where teams design multi-step automations connecting 600+ enterprise applications, APIs, and data sources. Tray supports both low-code visual building for business users and full-code flexibility for developers needing custom logic or API interactions. The platform processes over 1 billion workflow executions annually across its customer base, serving teams at companies including SAP, IBM, and Cisco.

A key differentiator is Tray's approach to AI agent orchestration and MCP server deployment. Organizations can build AI agents leveraging multiple tools and data sources, with centralized governance enforcing access controls, audit trails, and compliance policies. The MCP server capabilities let enterprises expose internal tools and data to AI models in a standardized, secure manner with sub-second response times for most connector operations.

Robust observability features provide real-time monitoring, logging, and alerting for all workflows and AI agent interactions. Role-based access control ensures safe team collaboration, with administrators maintaining oversight of build, modify, and deploy permissions. The connector library covers Salesforce, SAP, Workday, HubSpot, Snowflake, and hundreds of others, plus universal REST and GraphQL connectors for any API-accessible system. Data transformation capabilities handle mapping, filtering, enrichment, and restructuring as data flows between systems.

Tray.ai reports 99.9% platform uptime SLA for Enterprise customers and supports workflows handling up to 50,000 tasks per execution, positioning it as a bridge between simple automation tools and complex custom-built integration infrastructure.