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Tray.ai mentioned, profiled, or interviewed in third-party publications.
Tray.ai embeds data engineering capabilities within iPaaS service
Tray.ai adds SQL-based data engineering to its iPaaS, enabling in-flight data transformation, cleansing and AI-ready pipelines in one platform.
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Inside the MCP moment
As AI agents gain real privileges, Tray.ai CEO Rich Waldron explains why governance must evolve faster than the technology driving them.
Turning AI agents into measurable business value
Tray.ai CEO Rich Waldron explains why AI agents alone fall short, and how integration, governance, and execution tie automation to real business value.
What automation tech leaders say you’re getting wrong about AI
Forbes explores what teams get wrong about AI and why enterprises need orchestration, guardrails, and governance to deploy AI agents at scale.
Tray enterprise-class AI platform casts light on “shadow MCP” and controls “AI sprawl”
Tray.ai’s Agent Gateway for MCP centralizes enterprise governance for MCP/agent tools such as versioning, guardrails, and audit trails to curb shadow MCP and AI sprawl.
Rich Waldron, Tray.ai CEO: A Fortt Knox Conversation
Rich Waldron joins CNBC's Jon Fortt to unpack the obstacles enterprises face deploying AI agents at scale.
We must separate sense from nonsense when talking about agentic AI, says Tray.ai’s Rich Waldron
Tray.ai CEO and Co-founder discusses the dangers of AI marketing hype, CIOs being forced to play ‘vendor referee’, and the merits of extreme bootstrapping.
Tray.ai adds ability to build and govern MCP servers to iPaaS environment
Techstrong.ai’s Mike Vizard explores why governance is essential for MCP adoption, and how Tray Agent Gateway for MCP sets the standard.
How to deploy an AI agent that actually solves help desk tickets
A six-step framework for building a production-ready AI agent that handles those repetitive tasks you don’t want your IT team spending their days on.