Managing API tokens at scale can get messy—manual rotations, security risks, and wasted time. boostr tackled this head-on with Tray’s API management tool, building an automated, secure, and scalable token rotation framework that keeps their systems running smoothly. Less manual work. Better security. Seamless authentication. See how they did it in this Show & Tray from Boostr's Director of Integrations, Nicholas Conforti.
Tray.ai
Software Development
San Francisco, California 21,522 followers
The fastest way to turn AI into business performance.
About us
Tray.ai offers a composable AI integration and automation platform that transforms AI into standout business performance. The Tray Universal Automation Cloud is an AI-ready platform that eliminates the need for disparate tools, enabling seamless integration and automation of complex business processes. As enterprises strive for competitive advantage, our platform helps IT teams deploy AI effectively, connecting systems, automating processes, and integrating data to handle even the most demanding AI use cases. Built for high-change environments, Tray.ai excels in rapid prototyping, testing, and deployment. Our platform supports all AI, integration, and automation initiatives from a single place. Developers benefit from a code-first, headless environment, freeing them from mundane tasks and allowing focus on business outcomes. The Tray Build IDE and AI Palette accelerate delivery for business technologists, providing easy access to 3rd party connectors and native AI capabilities. For CIOs, Tray.ai offers the necessary safeguards and audit controls, with features like Merlin Guardian for data obfuscation and robust governance through our Enterprise Core. Tray.ai ensures flexibility, scalability, and security, empowering enterprises to leverage AI confidently and effectively.
- Website
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https://tray.ai
External link for Tray.ai
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Development, API, Integration, saas, cloud, Automation, serverless computing, platform, citizen automator, iPaaS, AI automation, and AI
Products
![Click here to view Tray Universal Automation Cloud]()
Tray Universal Automation Cloud
Workflow Management Software
Tray.ai offers a powerful composable AI integration and automation platform that transforms how enterprises leverage AI to achieve standout business performance. Our Universal Automation Cloud is an AI-ready platform that seamlessly integrates and automates complex internal and external business processes, eliminating the need for disparate tools and technologies. Key features: AI Palette: Simplifies AI prototyping and deployment with easy access to third-party connectors and native Tray AI capabilities. Merlin Guardian: Ensures data security and compliance by obfuscating PII, evaluating prompt injection risks, and detecting AI hallucinations. Merlin Functions and Extract: Enable rapid development, testing, and deployment of intelligent processes with custom AI functions and data extraction tools. Tray Build: A low-code, AI-augmented IDE that accelerates delivery for business technologists and development teams, facilitating high-fidelity workflows.
Locations
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Primary
Get directions
25 Stillman St
San Francisco, California 94107, US
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Get directions
6 Devonshire Square
London, England EC2M 4YE, GB
Employees at Tray.ai
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Mike Chalfen
Solo VC at Chalfen Ventures
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Kelly Brown
Growth Leader, MBA, B2B SaaS
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Paul Turner
B2B Product and Solutions Product Marketing | Low-code | Advanced Analytics | Integration | Automation | Finance Apps
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Luca Valente
Passionate Customer Success Manager | Driving ROI with Intelligent Automation, iPaaS, RPA, and AI | Empowering Teams Through Strategic Technology…
Updates
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Most support tickets take 30+ minutes to triage, categorize, and respond to. AI agents can do it in seconds. Our Customer Service Ticketing Agent can: ✅ Auto-triage tickets with AI-powered reasoning ✅ Suggest solutions instantly based on real company knowledge ✅ Reduce manual effort while keeping full control and transparency See it in action 👇
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Disconnected AI systems. Legacy infrastructure. Data silos. All blockers to enterprise AI adoption. In this interview with AiThority.Com, Tray CEO Rich Waldron breaks down what’s holding AI adoption back, why integration is the missing piece, and how enterprises can deploy AI that actually works. 🔗 Read the full interview. https://bit.ly/3QyHeQ1
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Tray.ai reposted this
Are AI agents the next frontier or just creating more chaos? In my latest article, I’m diving deep into the AI agent hype and uncovering the real paths that CIOs are walking. If you’re overwhelmed by siloed AI systems and feeling the pressure to deploy agents fast, this is for you. Most companies are jumping into AI agents without understanding what they really are—or how to scale them effectively. Here, I break down four paths to AI agents, and only one will truly set you up for success. Spoiler alert: It's not about buying pre-built agents or building from scratch. It’s all about orchestration. The stakes are high, and the choice is yours: 🔹 Keep fighting fire drills 🔹 Or build a unified, scalable AI infrastructure that works across your entire enterprise.
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AI agents will flood the enterprise in the coming year. But without a strategy, they will create more complexity, not less. Enterprises are already drowning in hundreds of SaaS apps. Now, they're adding agents to the mix. Without a clear integration and governance framework, agent sprawl leads to security risks, fragmented automations, and inconsistent decision-making. IT leaders need a centralized approach to keep agents out of silos and working across the business. Read more on how CIOs are tackling AI agent sprawl: https://bit.ly/3XXNapK by Tim Crawford, AVOA
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Most enterprises are sitting on petabytes of unstructured data. But without integration, it's just noise. Hear from Tray CEO Rich Waldron in a conversation with CIO analyst Myles Suer on how AI, data lakes, and integration are transforming that data into action. Watch their full convo to learn how IT leaders are leveraging tech consolidation and AI to move beyond proof-of-concept and into scalable, enterprise-wide AI adoption. Link in comments 👇
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AI agents can't work in silos, but 38% of IT leaders say integration complexity is the biggest barrier. Enterprises are eager to deploy AI agents, but without a clear integration strategy, they risk fragmentation, inefficiencies, and stalled adoption. Read more on the challenges IT leaders face—and how they’re tackling AI integration: https://bit.ly/4h7YnuN by Maria Korolov in CIO Online
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Big wins for builders in this month’s Builder Bulletin 👇 AI that acts: Watch how Trayer Niels Fogt built an agent that updates CRM records, logs call notes, and pulls live data. No manual work required! Build faster: • Test workflows instantly with mock trigger data • More flexibility in API ops (goodbye strict mode) • Smarter auth handling for full control over how values update Upcoming workshops: Hands-on sessions to build real, production-ready AI agents (April 3, 9, 17) 💡 Plus: Pro tips from the community on skipping submit buttons and capturing instant form responses.
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Tray.ai reposted this
Never thought I’d say this, but AI may have just helped me achieve one of my life’s subtler goals: semi-successfully rocking a leather jacket. That aside, I really enjoyed spending some time with Phil Gamache and discussing the amazing impact of Agents, and the challenges that organizations are facing when it comes to successful, scalable deployments.
Not everything needs AI. Disciplined data practices and being selective about AI is important. Don't blindly AI-wash every corner of your stack despite the AI agent race happening in martech right now. You’re already seeing home pages being updated: We’re the first AI agent centric {{insert.martech.category}}. Nearly every tool in your stack is going to have agentic features. Your role over the next few years will include being an AI referee. > "If you're the marketing ops leader, and your 30 vendors are telling you to go turn on the AI for their application, you sort of become like an AI referee. You have to figure out like, well, do I turn it on for this one and not for this one? And is this one gonna overwrite what occurs here?" Rich Waldron, the CEO and Co-Founder of Tray.ai saw this shift coming. One of the categories of vendors that are uniquely positioned to serve as the orchestrators of AI agents for marketing applications are iPaaS tools. They’ve spent the last 15 years building best in class API integrations to your existing stack and facilitate the need for data access and interoperability. I had the honor of sitting down with Rich on Humans of Martech where we covered: • What makes an agent truly "Agentic" beyond the hype • Why your AI is only as good as your marketing ops • Why API-based AI beats browser-based automation • What the heck are vector DBs and RAG pipelines • How to become the automation hero your company needs • And so much more! -- Listen here 👇 YouTube: https://lnkd.in/gxWPjCVS Apple: https://lnkd.in/gGg-UPaA Spotify: https://lnkd.in/ghYDmCbZ Summary: https://lnkd.in/g_3dNGDc – Thank you to our sponsors for supporting the podcast: 📧 Customer.io — Marketing automation platform to build intricate, multi-step customer journeys across all channels. 🦸 RevenueHero — B2B scheduling and routing product to instantly connect prospects with the right sales reps to drive qualified meetings. 🦩 Census — Universal data layer that unifies & cleans data from all your sources and makes it available for any app and AI agent to use. 🎨 Knak — No-code email and landing page creator to build on-brand assets with an editor that anyone can use. -- My top 3 takeaways: 💡 AI that helps you analyze and recommend has been around forever. The future competitive advantage in your stack is going to come from AI that acts on your behalf. 💡 Build AI agents that execute complex tasks autonomously by converting visual workflows into "skills" that you can teach an agent. 💡 AI agent proliferation = opportunity and governance nightmares. Prioritize solutions that centralize agent management rather than adopting disconnected AI capabilities across your stack.
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