Tech companies live or die by cycle time. Tray.ai is what teams move to when MuleSoft, Boomi, or in-house glue becomes the bottleneck — and what they build their first production agents on.
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Crowdstrike integration speedup after replacing MuleSoft
10×
Integration velocity is product velocity.
Airbnb compressed an 8-week MuleSoft project to one week. Crowdstrike ships 10× faster. Yext migrated 100+ services in 3 months at 60%+ cost reduction. The common thread: the integration platform stopped being the bottleneck.
Where Tray earns its keep at SaaS scale
Replace legacy iPaaS
Process automation, data integration, and API management on one platform — not three contracts. Yext cut 60%+ off the MuleSoft sunsetting bill. Crowdstrike ships 10× faster.
Ship production AI agents
Apollo's IT Agent closed September 2025 as their
Govern MCP from day one
Most engineering teams have shadow MCP somewhere. Agent Gateway for MCP replaces developer-built servers with governed MCP tools — published from 700+ Tray connectors, centrally controlled, without slowing the AI teams down.
One contract, one audit
Same governance model, same connector library, same observability across agents, integration, and automation. Audit-once, ship-many.
4× integration delivery speed
“Since implementing Tray, we've quadrupled our integration delivery speed. More integrations mean happier customers that can respond to cybersecurity vulnerabilities even faster.”
Cycle time. The pattern that shows up across Airbnb, Crowdstrike, Yext, and Zuora is the same — multi-week MuleSoft (or Boomi) projects became the slowest part of any product change. On Tray.ai, those projects ship in days. Yext also reported 60%+ cost reduction after replacing MuleSoft.
We're building AI agents. Where does Tray.ai fit?
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Most SaaS teams hit a wall when the agent has to reach into real systems (CRM, ticketing, billing, data warehouse). That's exactly where Tray.ai earns its keep — Merlin Agent Builder + Agent Gateway for MCP plus 700+ connectors as governed MCP tools. Apollo, Life360, and Wavo all started here.
Are we too small for Tray.ai?
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Tray runs at 100,000+ customer scale, but most teams ship their first workflow inside a week. Pricing scales with usage. Talk to sales for a fit conversation.
Talk to someone who's done this in Tech & SaaS
A tailored demo against your real systems and stack.
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