Nothing for you to patch
Patching is automatic. Every advisory and every upgrade lands on a runtime we run and get audited on.
For teams running n8n
The build already works. What it costs you is the patch queue, a resize every time volume moves, and whatever sits between an advisory landing and your team applying it. On Tray, all three are ours.
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Everything below is what running it yourself costs instead.
Patching is automatic. Every advisory and every upgrade lands on a runtime we run and get audited on.
Volume climbs and your workloads scale automatically. Nobody sizes workers, Redis or a database.
Integration, automation, API management, agents and MCP on one platform Tray patches and scales. One contract, one place to look.
Scoped access, approvals and a record of every run, ready when a reviewer asks. Your team does not assemble it.
Scope and policy are set on every agent and MCP call, then logged. Not a node somebody remembered to add.
Vibe-coded apps go to production on the same platform, with SSO and secrets handled. Real vibe-coding, for integrations and apps.
Why enterprises choose Tray
The three costs
Not one blocker. Three separate bills, and most teams are paying at least two of them right now without having costed either.
paid in: engineer-days, per advisory
The advisories keep coming, and every one is your team scheduling, testing and rolling out an upgrade to stay ahead.
paid in: a standing rota slot
Somebody babysits the deployment every week: Redis, Postgres, workers, upgrades, retention. Free covers the software, not the team running it.
paid in: architecture projects
Every step up in volume is sizing work somebody does by hand: workers, memory limits, retention, and the spikes in between.
Industry recognized
Tray.ai is the AI orchestration platform. One platform, one contract, and one governance model across all of it.
Audited and certified
SOC 1
audited annually
SOC 2 Type 2
with penetration testing
HIPAA
PHI handling
GDPR
EU data residency
CCPA
US data residency
700+
connectors managed
across integration, automation, and agents
1T+
processes run per year
on the platform
100%
workflow execution uptime
over the trailing 90 days
US, EU, and APAC data residency · Annual penetration testing · Uptime measured on status.tray.ai and publicly checkable there. As of August 2026.
See the trust centerPoint the migration kit at your n8n exports. Connectors are mapped with a confidence score on each, expressions are translated, and the build is ordered so callable workflows exist before the workflows that call them. Your flows come across as native Tray workflows, and you can migrate in minutes.
How the migration worksMore on moving from n8n:Risk and patchingOperational overheadScale and reliabilityGovernance and complianceMigration
Contents
tray.ai · 12 pages
The guide · 12 pages
Five signs you've outgrown n8n
Five signs, what each one costs, and where your setup stands.
Get the guideWhy enterprises love Tray
“Since implementing Tray, we've quadrupled our integration delivery speed. More integrations mean happier customers that can respond to cybersecurity vulnerabilities even faster.”
It depends which of the three costs you are actually paying. If it is the security review and the patching hours, that is a question about who operates the platform. If it is the sizing and tuning work at volume, that is a question about architecture. If it is the tier that unlocks the controls you now need, that is a question about what comes standard. Tray.ai is the AI orchestration platform: integration, automation, API management, agents, and MCP on one managed platform, and we run the controls rather than leaving them to your team.
No. The migration kit reads your n8n exports and stands them up as native Tray workflows: connectors mapped with a confidence score on each, expressions translated, and the build ordered so callable workflows exist before the workflows that call them. You can migrate in minutes. The tricky parts are flagged up front rather than discovered later.
Free Community self-hosted is genuinely unmetered: unlimited executions, no meter, no phone-home. What sits outside it is the controls, which are on a paid tier, and the infrastructure, which is yours to run. The overhead page covers both, with n8n’s own published prices and a retrieval date.
It runs at volume for plenty of teams, and n8n publishes a figure of 200 executions per second. The part that transfers to you is the sizing work: memory behaviour, queue-mode configuration, execution-data growth, and the remedy for each, all of which are documented and all of which are your team’s to implement.
A platform Tray.ai patches and monitors, so the advisory clock is not yours. We run the controls, not you: the patching, the evidence and the scope are Tray’s, not a checklist your team keeps working. Policy and scope on every agent and MCP call, kept as a platform record. And scale that does not hand you the architecture.
Let's discuss your next step.
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