Tray.io

Tray.io is an AI-ready integration platform as a service (iPaaS) that connects cloud applications, on-premises systems, databases, and AI models through a unified automation platform. It works by providing a drag-and-drop workflow builder where users can connect services using 600+ pre-built connectors, modern REST and GraphQL APIs, or custom connectors built with the Connector Development Kit. Workflows can be exposed as REST APIs and include features like automatic retries, queuing, error handling, and elastic serverless scalability that automatically adjusts to workload demands.

Tray.io uses a usage-based pricing model centered on task credits rather than per-connector fees. The Pro plan includes 250,000 starter task credits with 3 workspaces, Team offers 500,000 credits with 20 workspaces, and Enterprise provides 750,000 credits with unlimited workspaces. Pricing is based on tasks executed, API calls made, and on Enterprise plans, connected users. All plans require contacting sales for specific pricing, with third-party sources indicating contracts typically start around $500 per month and median annual contracts around $38,640 for 2024-2025.

Yes, Tray.io fully supports hybrid environments through its on-premises agent technology. This allows organizations to securely connect cloud-based workflows with on-premises databases, legacy systems, and internal applications without exposing sensitive infrastructure to the public internet. The platform maintains enterprise-grade security with SOC 2 Type II, GDPR, and HIPAA compliance certifications while enabling seamless data flow between cloud and on-premises resources. Advanced On-Prem capabilities are available as add-ons on Pro and Team plans and included in Enterprise subscriptions.

Absolutely. Tray.io provides a Connector Development Kit that enables developers to build custom connectors using TypeScript and OpenAPI specifications when pre-built options are unavailable. The platform supports modern REST and GraphQL APIs for connecting any service with an API endpoint. Additionally, users can leverage the Universal Automation Cloud's composability features including reusable workflow snippets, custom API endpoints, and template libraries to extend functionality. This extensibility ensures organizations can integrate any system regardless of whether a pre-built connector exists in the 600+ connector library.

Tray.io enables AI model integration by connecting large language models and AI services directly into automated workflows, allowing organizations to ground AI agents in enterprise data sources. The platform supports building AI agents that can access real-time business data, execute multi-step processes, and operate under IT governance controls. Users can integrate popular AI models through API connections, combine them with business logic and data transformations, and deploy agents that automate customer service, data analysis, and decision-making processes. All AI integrations maintain the same security standards and audit logging as other workflow components, ensuring compliance and traceability in 2025 enterprise environments.

Tray.io delivers elastic serverless scalability that automatically adjusts computing resources based on workload demands without manual intervention. The platform handles sudden traffic spikes, processes millions of tasks monthly, and scales horizontally across distributed infrastructure. Advanced features include automatic queuing for rate-limited APIs, parallel processing for high-volume operations, and intelligent retry mechanisms that prevent workflow failures. Enterprise customers benefit from dedicated infrastructure options, guaranteed uptime SLAs, and performance monitoring through 180-day Insights analytics. This architecture ensures workflows remain responsive and reliable even during peak business periods or unexpected demand surges.