# Tray.ai

> Tray.ai is the enterprise orchestration platform for data and AI. One platform to build AI agents, govern Model Context Protocol (MCP), integrate 700+ enterprise systems, and automate work — under one contract.

## Platform capabilities
- Agent Builder (https://tray.ai/platform/merlin-agent-builder) — No-code AI agent development with knowledge, tools, guardrails, and a composable agent hub.
- Agent Gateway for MCP (https://tray.ai/platform/agent-gateway) — Governed MCP (Model Context Protocol) for the enterprise: managed MCP Servers, 700+ connectors as tools, RBAC, observability.
- Intelligent iPaaS (https://tray.ai/platform/intelligent-ipaas) — Process automation, data integration, API management, and a library of 700+ connectors.
- AI Governance (https://tray.ai/platform/governance-trust) — Observability, audit trails, SOC 2 / HIPAA / GDPR compliance, 99.99%+ uptime.
- AI Development (https://tray.ai/platform/ai-development) — Headless + low-code authoring with prompt management, model routing, and versioned, composable building blocks.

## Platform

- [Platform overview](https://tray.ai/platform): Five pillars unified under one orchestration platform.
- [Merlin Agent Builder](https://tray.ai/platform/merlin-agent-builder): No-code AI agent builder with knowledge, tools, and guardrails.
- [Agent Gateway](https://tray.ai/platform/agent-gateway): Governed MCP for the enterprise — managed servers, audit, observability.
- [Intelligent iPaaS](https://tray.ai/platform/intelligent-ipaas): Process automation, data integration, and API management across 700+ connectors.
- [Governance & Trust](https://tray.ai/platform/governance-trust): RBAC, audit trails, SOC 2 / HIPAA / GDPR compliance.
- [AI Development](https://tray.ai/platform/ai-development): Code or canvas — Tray Build for low-code, Tray Headless for code-first.

## Solutions

- [Solutions library](https://tray.ai/solutions/library): Real Tray.ai workflows browsable by industry, use case, and role.
- [By industry](https://tray.ai/solutions/by-industry): Tech, fintech, healthcare, manufacturing, retail, and more.
- [By use case](https://tray.ai/solutions/by-use-case): AI agents, MCP governance, lead routing, ITSM, employee lifecycle.
- [By role](https://tray.ai/solutions/by-role): CIO/CTO, VP IT, marketing ops, data engineering, and more.

## Customers

- [Customer stories](https://tray.ai/customers): Named customer outcomes across industries.
- [Customer awards](https://tray.ai/customers/awards): Annual awards recognising customer outcomes.
- [Apollo](https://tray.ai/customers/apollo): Apollo deflects nearly 40% of IT tickets with Tray AI agents
- [Zuora](https://tray.ai/customers/zuora): How Zuora unified AI across 200+ SaaS apps with orchestration
- [J.W. Pepper](https://tray.ai/customers/jw-pepper): How J.W. Pepper centralized MCP tools without slowing teams down
- [Life360](https://tray.ai/customers/life360): Life360 unifies AI with an agent-of-agents model with Tray Merlin Agent Builder
- [Auctane](https://tray.ai/customers/auctane): Auctane accelerates IT processes with low-code automation, boosts productivity 30%
- [Bynder](https://tray.ai/customers/bynder): Bynder transforms integration roadmap, accelerates delivery by 75%
- [Cue](https://tray.ai/customers/cue): Cue dramatically accelerates integration delivery time to build a world-class sales and service scripting platform
- [Cvent](https://tray.ai/customers/cvent): Cvent boosts integration efficiency in just 6 months with Tray
- [Yext](https://tray.ai/customers/yext): Yext accelerates integration delivery 3x, reduces costs by 60%
- [HackerOne](https://tray.ai/customers/hackerone): HackerOne delivers customer integrations 4x faster
- [Podium](https://tray.ai/customers/podium): Podium uses Tray.ai to reduce customer churn by 60%
- [Eventbrite](https://tray.ai/customers/eventbrite): Eventbrite accelerates high-quality integration delivery at scale and lifts customer satisfaction
- [GitHub](https://tray.ai/customers/github): GitHub syncs customer data at scale to grow engagement and build robust marketing attribution
- [Mixpanel](https://tray.ai/customers/mixpanel): Mixpanel accelerates mission-critical order-to-cash process 25%
- [Udemy](https://tray.ai/customers/udemy): Udemy streamlines self-service to enterprise sales process

## Customer attestations

- "Tray's speed of innovation is astronomical. It's a technically amazing product that turned an 8-week project into a week's work and saved us hundreds of thousands in development resources." — Business Operations Lead, Airbnb (https://tray.ai/customers/airbnb)
- "Tray Merlin Agent Builder gave us something the others couldn't. It's not just answering questions. It's taking action, it's unlocking accounts, it's provisioning software. It feels less like a chatbot and more like another member of the team. The IT Agent closed out September 2025 as number one in ticket resolutions." — Ramiro Meyer, Head of IT Automation and AI Solutions, Apollo (https://tray.ai/customers/apollo)
- "We have automated so much of the onboarding and offboarding process that we're no longer spending valuable time on manual data entry. We even trigger several other automations around those processes, such as archiving users after a period of time or suspending inactive users. With Tray, we're not only saving time, but we're reducing risks." — Ryan Pesta, Corporate IT Manager, Auctane (https://tray.ai/customers/auctane)
- "Tray.ai has had a substantial impact on our efficiency, allowing us to enjoy significant time and cost savings." — Carmen Glenister, Enterprise Architect, Avid Property Group (https://tray.ai/customers/avid)
- "Before implementing Tray we were sending 90% of our leads to our sales team in under 10 minutes. After implementing Tray we are sending 99% of our leads to the sales team in under 3 minutes." — Kevin Cassidy, Director of Marketing Operations, DocuSign (https://tray.ai/customers/docusign)
- "Since implementing Tray, we've quadrupled our integration delivery speed. More integrations mean happier customers that can respond to cybersecurity vulnerabilities even faster." — Martijn Russchen, Senior Project Manager, HackerOne (https://tray.ai/customers/hackerone)
- "We were struggling with pulling 9M+ records out of our production environment, which took an 8-person team 40 hours a week. We got that down to 5 minutes a day, and it's fantastic." — Data Integration Lead, IBM (https://tray.ai/customers/ibm)
- "We can now use Tray.ai to spin up new MCP Tools on a managed path. IT approves what's built, enforces policies and permissions, versions it, and publishes. We get centralized visibility and auditability across the MCP Servers and Tools we deploy — reducing risk." — Marcus Dubreuil, Enterprise Architect, AI & Automation Strategy, J.W. Pepper (https://tray.ai/customers/jw-pepper)
- "The Agent Hub allows us to flexibly leverage Smart Data Sources and tools across sub-agents. This composable approach allows us to build agents in a matter of weeks, versus the months it would take by just building single-purpose agents." — Matt Currie, Senior Automation Engineer, Life360 (https://tray.ai/customers/life360)
- "Tray is the holy grail for software development. It has allowed us to build a single master workflow that is infinitely configurable and scalable without cumbersome code." — Hugh Smith, VP of Product, NICE inContact (https://tray.ai/customers/nice-incontact)
- "We've been able to automate away 30% of manual IT tasks, which has helped us build out our IT practice and scale our capabilities without being required to scale our headcount." — Daniel Wynn, Director of IT, Peddle (https://tray.ai/customers/peddle)
- "Tray is crucial to our AI strategy, letting us constantly enhance and populate customer integrated data to provide better context and performance for AI Models." — Thomas Mancuso, Director of Product Partnerships, Podium (https://tray.ai/customers/podium)
- "Customers who integrate with Podium's platform are 70% more likely to be classified as active and 60% less likely to churn. It's more than night and day." — Thomas Mancuso, Director of Product Partnerships, Podium (https://tray.ai/customers/podium)
- "Tray.ai is the glue that holds all our systems together. It interacts with a lot of different systems, and it's the only solution flexible enough to do what we need." — Ryan Cantor, Chief Product Officer, Thryv (https://tray.ai/customers/thryv)
- "Tray completely improved the efficiency and accuracy of our Order-to-cash process from start to finish." — Jing Chen, Director, Enterprise and Business Applications, Udemy (https://tray.ai/customers/udemy)
- "Tray has allowed us to operationalize AI faster than any other company we are competing with." — Brendan Neal, VP Revenue Operations, Wavo (https://tray.ai/customers/wavo)
- "With Tray, we're now building agents that can troubleshoot access issues, automate provisioning, and reduce manual load on our IT teams. With a more agile and cost-effective integration strategy, Yext is now well-equipped to drive innovation, improve operations, and scale automation at an enterprise level." — Tulasi Dhonthireddy, Director of IT and Business Applications, Yext (https://tray.ai/customers/yext)
- "As we roll MCP out, I don't want end users thinking about which system they're authenticating to or what tools they have access to. Tray's Dynamic Authentication lets us scale agents across the enterprise without compromising on user-level permissions." — Mark Gill, Head of Infrastructure, Zuora (https://tray.ai/customers/zuora)
- "We can actually deliver on integration requests in fewer than 10 days." — Mark Gill, Head of Infrastructure, Zuora (https://tray.ai/customers/zuora)
- "Tray Headless will change the way we build workflows. I'm super excited about that, because we're trying to get ourselves to 10x and 100x of what we were doing last quarter, and Tray Headless will enable us to do that." — Mark Gill, Head of Infrastructure, Zuora (https://tray.ai/blog/enterprise-ipaas-native-ai-ide-tray-headless/)

## Comparisons

- [Compare](https://tray.ai/compare): Honest comparisons against named competitors.
- [Tray.ai vs. Salesforce Agentforce — honest comparison](https://tray.ai/compare/agentforce): Agentforce is an AI layer built on a CRM. Tray.ai is a purpose-built automation platform for agents and AI across your whole business.
- [Tray.ai vs. Boomi — honest comparison](https://tray.ai/compare/boomi): How Tray.ai compares to Boomi on speed, AI-readiness, pricing model, and platform coherence.
- [Tray.ai vs. Celigo — honest comparison](https://tray.ai/compare/celigo): Celigo is the go-to for NetSuite integration. Tray.ai is the consolidation play when you also need agents, gateway, and orchestration beyond NetSuite.
- [Tray.ai vs. Salesforce / Informatica — honest comparison](https://tray.ai/compare/informatica): Informatica only does data — you still need MuleSoft and Agentforce for everything else. Here's how Tray.ai compares.
- [Tray.ai vs. Jitterbit — honest comparison](https://tray.ai/compare/jitterbit): How Tray.ai compares to Jitterbit on platform coherence, AI-readiness, and the cost of a bundle built through acquisition.
- [Tray.ai vs. Make — honest comparison](https://tray.ai/compare/make): How Tray.ai compares to Make (formerly Integromat) on governance, scale, AI readiness, and enterprise suitability.
- [Tray.ai vs. Microsoft Power Automate & Logic Apps — honest comparison](https://tray.ai/compare/microsoft): How Tray.ai compares to Microsoft's integration stack — one orchestration layer vs. a patchwork of Azure services.
- [Tray.ai vs. MuleSoft — honest comparison](https://tray.ai/compare/mulesoft): How Tray.ai compares to MuleSoft on scope beyond Salesforce, implementation time, TCO, and platform consolidation.
- [Tray.ai vs. n8n — honest comparison](https://tray.ai/compare/n8n): n8n is developer-flexible and open-source. Tray.ai is what enterprises move to when the security and scaling risks of open-source stop being acceptable.
- [Tray.ai vs. Oracle Integration Cloud — honest comparison](https://tray.ai/compare/oracle-oic): OIC is great for Oracle-to-Oracle integration. Tray.ai is what Oracle-running enterprises use when they also need non-Oracle, non-integration, and AI.
- [Tray.ai vs. SAP Integration Suite — honest comparison](https://tray.ai/compare/sap): SAP Integration Suite is built for connecting SAP systems. Tray.ai is built for everything — SAP included, not SAP-centered.
- [Tray.ai vs. SnapLogic — honest comparison](https://tray.ai/compare/snaplogic): SnapLogic is a 20-year-old data pipeline tool retrofitting AI agents. Tray.ai is a unified platform built for integration and agents from day one.
- [Tray.ai vs. TIBCO — honest comparison](https://tray.ai/compare/tibco): How Tray.ai compares to TIBCO (now Cloud Software Group) on AI readiness, modern cloud architecture, and time-to-value for enterprise integration and orchestration.
- [Tray.ai vs. Workato — honest comparison](https://tray.ai/compare/workato): How Tray.ai compares to Workato on builder flexibility, AI-readiness, pricing, and enterprise fit.
- [Tray.ai vs. Zapier — honest comparison](https://tray.ai/compare/zapier): How Tray.ai compares to Zapier on enterprise scale, complex workflows, governance, and AI-native capabilities.

## Resources

- [Blog](https://tray.ai/blog): Product updates, engineering, growth, and thought leadership.
- [Guides](https://tray.ai/resources/guides): Playbooks, frameworks, and templates.
- [Events](https://tray.ai/events): Upcoming events and on-demand recordings.
- [Glossary](https://tray.ai/glossary): Definitions for AI orchestration, MCP, iPaaS, and related terms.
- [Gartner® Report: How to Choose the Best-Fit Integration Platform as a Service Vendor](https://tray.ai/resources/guides/gartner-how-to-choose-a-ipaas-vendor): Get the Gartner report on how to choose the best-fit iPaaS vendor. Learn how to evaluate AI readiness, governance, and success measures for your integration platform selection.
- [Not everything needs AI. A framework for knowing what does.](https://tray.ai/resources/guides/not-everything-needs-ai-framework): Not every workflow needs an AI agent. A framework for knowing when to use rule-based, AI-powered, or agentic automation — before you build.
- [Tray named a Leader in the 2026 Nucleus iPaaS Value Matrix for seventh consecutive year](https://tray.ai/resources/guides/nucleus-ipaas-matrix): For the seventh consecutive year, Nucleus Research recognizes Tray in the Leader quadrant — this year for its AI orchestration platform, MCP governance capabilities, and strong agent infrastructure for enterprise deployment.
- [Getting MCP right: The five properties every enterprise deployment needs](https://tray.ai/resources/guides/getting-mcp-right-five-properties-enterprise-deployment): Learn the five critical properties that distinguish sustainable MCP deployments from those vulnerable to security or compliance failures.
- [Gartner® Report: Hype Cycle™ for Agentic AI, 2026](https://tray.ai/resources/guides/gartner-hype-cycle-agentic-ai-2026): Get the latest Gartner® 2026 Hype Cycle™ for Agentic AI report to learn about the fast-moving innovations in the space, from AI Coding Agents to No-code Agent Builders.
- [AI agent strategy playbook: How to run agents at enterprise scale](https://tray.ai/resources/guides/ai-agent-strategy-playbook): Learn how teams move AI agents from pilots to production with the right operating models, governance, and orchestration strategies.
- [The difference between chatbots, copilots, and AI agents](https://tray.ai/resources/guides/ai-agent-vs-copilot-vs-chatbot): See the difference between AI agents, copilots, and chatbots in action. This visual shows what happens when each gets the same enterprise request and why only agents can act across systems.
- [Your help desk needs help](https://tray.ai/resources/guides/itsm-ai-agent-deployment-framework): A practical six-step framework for deploying ITSM AI agents that go beyond chatbots to resolve help desk tickets, with built-in governance and measurement.
- [How enterprise teams are scaling AI agents](https://tray.ai/resources/guides/enterprise-ai-agent-survey): New data from 1,000+ IT leaders on adoption, investment, and what’s blocking scale.
- [From prototype to production: AI agents that actually ship](https://tray.ai/resources/guides/ai-agents-with-amazon-bedrock): How platform teams ship AI agents to production with Tray and Amazon Bedrock—featuring architectures, frameworks, and real use cases.

## Glossary

- [Agent Gateway for MCP](https://tray.ai/glossary/agent-gateway): Tray.ai's governance layer for MCP — deploy managed MCP Servers, expose connectors as governed agent tools, and audit every agent action.
- [Agentic AI](https://tray.ai/glossary/agentic-ai): AI systems that don't just generate responses but take actions — planning, using tools, calling APIs, and completing multi-step tasks autonomously toward a goal.
- [AI agent](https://tray.ai/glossary/ai-agent): An AI system that can reason about a task, use tools to act on it, and learn from feedback — not just generate text.
- [AI-native](https://tray.ai/glossary/ai-native): Built with AI as a core architectural concern from day one — not bolted on as a feature after the fact.
- [API management](https://tray.ai/glossary/api-management): The tools and processes for publishing, securing, monitoring, and versioning APIs — so teams can expose data and services without building custom infrastructure for every integration.
- [Change data capture](https://tray.ai/glossary/change-data-capture): A data integration technique that tracks and streams changes in a database in real time — inserts, updates, and deletes — rather than re-pulling the full dataset on a schedule.
- [Composable](https://tray.ai/glossary/composable): An architecture where independent, reusable pieces combine freely — so new capability comes from recombination, not rebuilding.
- [Connector](https://tray.ai/glossary/connector): A pre-built integration between Tray.ai and a specific application — Salesforce, Slack, Snowflake, 700+ others.
- [Data integration](https://tray.ai/glossary/data-integration): The practice of moving, normalizing, and synchronizing data between systems — so one application's data is usable in another.
- [Enterprise automation](https://tray.ai/glossary/enterprise-automation): Using software to execute business processes automatically — at the scale, reliability, and governance that enterprise operations require.
- [ETL](https://tray.ai/glossary/etl): Extract, Transform, Load — the process of pulling data from source systems, reshaping it, and loading it into a destination like a data warehouse.
- [Governance](https://tray.ai/glossary/governance): The controls that make automation, integration, and AI agents safe to run in production — audit, access, approvals, compliance.
- [Human-in-the-loop](https://tray.ai/glossary/human-in-the-loop): A design pattern where a human approval, review, or decision is embedded as a step in an otherwise automated process — keeping people accountable for the decisions that matter.
- [Hyperautomation](https://tray.ai/glossary/hyperautomation): A Gartner-coined term for the disciplined, enterprise-wide application of automation — combining AI, integration, and process tools to automate everything that can be automated.
- [Intelligent document processing](https://tray.ai/glossary/intelligent-document-processing): AI-powered extraction of structured data from unstructured documents — invoices, contracts, forms, receipts — so the data can flow directly into downstream systems without manual entry.
- [iPaaS](https://tray.ai/glossary/ipaas): Integration Platform as a Service — a cloud-hosted platform for building, running, and managing integrations between applications.
- [Low-code](https://tray.ai/glossary/low-code): A development approach where software is built primarily through visual interfaces and configuration rather than hand-written code — accessible to non-developers, extensible by developers.
- [MCP](https://tray.ai/glossary/mcp): Model Context Protocol — the emerging standard for how AI agents discover and call tools, data, and services.
- [Merlin Agent Builder](https://tray.ai/glossary/merlin-agent-builder): Tray.ai's no-code / low-code platform for building AI agents that reason, act, and learn — with guardrails and audit baked in.
- [Orchestration](https://tray.ai/glossary/orchestration): Coordinating data, integrations, automations, and AI agents as one system — not just moving data between apps.
- [Process automation](https://tray.ai/glossary/process-automation): Using workflows to execute business processes — onboarding, approvals, order-to-cash, incident response — without human-in-the-loop for routine steps.
- [Task](https://tray.ai/glossary/task): Tray.ai's unit of workflow execution — a discrete run that handles one trigger through the workflow's logic to completion.
- [Workflow](https://tray.ai/glossary/workflow): A sequence of steps that runs when a trigger fires — the unit of automation that moves data, calls systems, and orchestrates outcomes.
- [Workflow automation](https://tray.ai/glossary/workflow-automation): Software that executes a defined sequence of steps automatically — moving data, triggering actions, and routing decisions without manual intervention.

## Webinars

- [Tray Headless: Shifting your integration architecture to headless](https://tray.ai/events/tray-headless): Watch the recording: the shift from low-code to headless enterprise integration. What it means, how to balance it with low-code, and a live build inside Claude Code using Tray as MCP services.
- [Defusing the MCP ticking time bomb](https://tray.ai/events/defusing-the-mcp-ticking-time-bomb): You connected one MCP server. Then ten. Now your security team is asking who deployed what, your finance team is asking why your token bill tripled, and nobody has a clean answer. Watch the full recording to get one.
- [Unblocking the AI data supply chain bottleneck](https://tray.ai/events/tray-first-look-data-engineering): Learn how to modernize AI data pipelines with in-flight SQL transformation. See Data Engineering and SQL Transformer in action.
- [How J.W. Pepper put guardrails around MCP servers](https://tray.ai/events/jw-pepper-mcp-guardrails): In this customer case study, J.W. Pepper shares how its IT team put guardrails around MCP servers and tools as adoption grew across the business.
- [Apollo’s path to 40% IT ticket deflection with Tray agents](https://tray.ai/events/apollo-tray-itsm-agent): Watch how Apollo moved from a proof of concept to live IT agents that deflect 40% of tickets and improve response times. Join the webinar to hear their story.
- [Webinar: Take control of MCP with Tray Agent Gateway for MCP](https://tray.ai/events/tray-first-look-agent-gateway): On-demand webinar: See how IT brings MCP servers and tools into one governed environment with Tray Agent Gateway for MCP and reduces shadow MCP risk for enterprises.
- [Build and launch agents faster with Tray Agent Hub](https://tray.ai/events/agent-hub-first-look): See how Tray Agent Hub helps teams cut build time, reuse tools and data, and scale adoption inside Tray Merlin Agent Builder. Watch the demo on demand.
- [What to do with your second agent](https://tray.ai/events/scaling-ai-agents-rich-waldron-hyoun-park): Learn from Tray.ai CEO Rich Waldron and Amalgam Insights CEO Hyoun Park on how to master scaling AI agents, from orchestration and ROI to scalable deployment.
- [How Yext cut integration costs by 60% in 90 days](https://tray.ai/events/yext-integrations-cost-reduction): Yext delivered 100+ integrations in 3 months. See how they did it—and why their old platform was slowing everything down.
- [New product launch: Tray Merlin Agent Builder addresses agent adoption](https://tray.ai/events/agent-adoption-merlin-launch): See what’s new in Tray’s Merlin Agent Builder. This launch adds long-term memory, one-click data access, model flexibility, and Slack or Teams deployment.
- [Building AI agents that actually work](https://tray.ai/events/building-ai-agents-live): Learn how enterprises are approaching AI agents, what's working (and what's not), and see real agents built for IT and sales in action.
- [Beyond chatbots: Deploying AI agents that actually solve IT tickets](https://tray.ai/events/deploying-ai-agents-solve-it-tickets): Learn how to cut IT ticket volume going to a human by 75%—with a real AI agent built for action, not just answers.

## Company

- [About](https://tray.ai/company/about): Mission, founders, investors, and press.
- [Careers](https://tray.ai/company/careers): Open roles.
- [Pricing](https://tray.ai/pricing): Plan tiers and how pricing works.
- [Trust](https://tray.ai/trust): Security, compliance, and uptime.
- [Connectors](https://tray.ai/connectors): 700+ pre-built connectors directory.
- [Contact](https://tray.ai/contact): Book a demo.

## Scale

- 100,000+ customers managed
- 150B+ integrations run per year
- 1BN+ AI workloads
- 100% execution uptime
- 700+ pre-built connectors

## Recognition

## Pricing
Enterprise / quote-based. Three tiers — Pro, Team, Enterprise — plus add-ons (Tray Agent Gateway for MCP, Agent Builder, Intelligent Document Processing, Data Engineering, SSO, HIPAA, Regional Hosting, Log Streaming). See https://tray.ai/pricing.

## Contact

- Demo or sales: https://tray.ai/contact
- Login: https://app.tray.io/