If you're looking for an alternative to Gumloop we've curated a list of the 10 best AI automation tools you should consider instead.
Looking for an alternative to Gumloop?
If you’re reading this article, you're excited about how you can use AI in your business to save time and augment the work you can do on your own.
AI automation tools are fast becoming one of the most exciting classes of software on the market. They harness the power of AI to work on your behalf as you sleep, taking care of all of the repetitive, mundane tasks in your business.
Gumloop has gained attention as a popular, new option in this emerging space, offering powerful AI automation capabilities in a flexible, no-code workflow designer.
But if you’re looking for alternatives, you've likely run into one of the following:
It's too complex to figure out and the learning curve is very steep.
It’s lacking some key integrations you need.
It’s very expensive relative to other AI automation tools.
Whether you're seeking specific features, a simpler interface, or a more price-conscious option, you’ve come to the right place.
TL;DR
First, if you only have 30 seconds, here's what you need to know:
If you're looking for the best all-around alternative at a great price, start with Relay.app.
If a browser-based tool is a priority, Bardeen is a solid choice.
If you’re interested in agentic AI solutions to manage more ambiguous workflows, check out Lindy.
If enterprise knowledge management is important, Cassidy might be the best fit.
Now, if you have a bit more time, read on to learn more about Gumloop, and what you should consider in an alternative — then we’ll dive into the full list of options.
What is Gumloop?
Gumloop is a no-code platform designed to automate complex workflows using AI-powered actions. The platform is versatile, supporting a range of integrations with popular business applications like HubSpot, Slack, Linear, and more.
It differentiates itself by enabling programming-like functionality (e.g., looping, subflows) and many pre-built advanced AI actions within its workflow builder. It's great for more technical teams looking to automate their processes quickly and efficiently, but due to its complexity, it has a much steeper learning curve than other tools.
Key features of Gumloop
Gumloop has some standout features that bring complex workflow automation tooling and AI capabilities together. Here’s a brief list of where Gumloop shines:
Extensive pre-built nodes to enable complex code-like actions, including a custom STMP email sender, web scraper, and SQL writer
Includes pre-built AI actions for extracting data, summarizing content, web browsing, and more
You can easily switch between multiple AI model providers within the same automation step
Includes native AI actions, which don’t require you to connect your OpenAI/Anthropic API account — with credits to test AI actions in the free tier plan
Supports parallel execution of sub-workflows, speeding up processing times and enabling highly complex workflows
Interfaces that enable you to easily build custom AI-powered applications.
Now that you know a bit more about Gumloop and its key features, let’s dive into what you should look for when considering an alternative AI automation platform.
What to look for in a Gumloop alternative?
If you’re seeking a Gumloop alternative, you may already have a specific frustration in mind. Perhaps you need an easier-to-use experience, a more robust service, or a more affordable solution. But if you're new to the market, here’s what we think you should consider to make an informed decision — and what we used as criteria for the tools we reviewed:
Ease of use: A Ph.D. in computer science or an encyclopedic user manual isn’t needed to start building powerful, automated workflows.
**AI capabilities: **Advanced AI features like natural language processing and automated web browsing are native to the platform, and you can easily switch between multiple different models.
Integrations: Connections to your existing tools and platforms is a seamless experience and new integrations are consistently being added.
Customization: It’s flexible enough to handle more niche, specific use cases for your business without hacky workarounds, for example, by incorporating your internal knowledge base
Scalability: Grows with your company. You won’t have to jump to a new platform in a few months or years as your task volume increases or you add more members to your team.
Cost: Doesn’t break the bank to automate all of your tasks and workflows.
Not every tool will check all the boxes in this list, but these bullets provide a helpful high-level framework for evaluating your options.
Now, without further ado, let’s dive into the list of the best Gumloop alternatives.
The 10 best Gumloop alternatives in 2026
1.
Relay.app
Relay.app stands out because it is incredibly easy to use. Non-technical users that have struggled with tools like Zapier and Make.com can create AI agents in minutes. To create agents in Relay.app, all you need to do is explain what you want in plain language, and Relay.app will create the agentic workflow for you. This model combines the ease-of-use of chat with the predictability and reliability of workflows. Relay.app also has the strongest human in the loop features that keep you in control and ensure that you can trust the work of your agents.
✅ Pros
Ease of use for all types of users to create their own AI agents with a simple chat experience.
Visual workflow representation that gives you confidence in how your AI agent will work on tasks.
Human-in-the-loop features for reviewing or approving actions, so you maintain control over what the AI does.
Built-in AI credits and model integration – use OpenAI, Anthropic, Gemini and more, without manual API keys.
❌ Cons
Integration library still growing – as a newer platform, it may not yet have every app integration that incumbents like Zapier offer.
💰 Pricing
Free tier: Yes – includes 200 automation steps and 500 AI credits per month.
Professional: $19/month billed annually (generous for single users or small teams).
Team: $69/month billed annually (higher capacity and collaboration).
Enterprise: Custom pricing for large organizations.
Takeaway
If Relay.app supports the integrations you need, it should be your first choice for building AI agents. Users praise its exceptionally easy UI and smooth experience, which is why Relay is often highlighted as the easiest-to-use AI agent builder for beginners.
2.
Zapier
Zapier is a very well-known automation tool (the "OG" of no-code workflows) that has significantly expanded its AI capabilities. Traditionally, Zapier connects your apps: "When X happens in app A, do Y in app B." Now, Zapier offers dedicated AI Agents, AI Chatbots, Canvas (for visually designing automation systems), and MCP (Model Context Protocol) for connecting AI tools to its ecosystem. Zapier isn't an AI-specialized platform like some others here, but its strength is the 8,000+ app integrations it supports. This means you can trigger AI agents based on almost any event (new email, form submission, CRM update—you name it) and then have the AI perform an action or generate content as part of the workflow. Use cases: e.g., automatically summarize every new support ticket with GPT and post it to Slack, or generate a draft email reply when a lead comes in, etc., all using Zapier's workflow editor.
✅ Pros
Massive integration ecosystem: Zapier connects with over 8,000 apps, so your AI agent can interact with nearly any tool your business uses — unmatched in the industry.
Mature product and platform: Zapier has a reputation for dependable execution of workflows and extensive documentation + community support.
Extensive template library: Thousands of pre-built Zap templates (including many with AI) to get you started quickly.
Expanding AI toolkit: Now offers dedicated AI Agents, Chatbots, Canvas, and MCP support alongside its core automation platform.
❌ Cons
AI agent capabilities not as advanced: Zapier's AI features are still maturing compared to specialized AI agent builders.
More difficult to evolve an older product: Zapier's legacy as an if-this-then-that tool can make it harder to match the ease of use that cutting-edge AI demands.
Fragmented pricing for AI features: AI Agents and Chatbots are separate paid add-ons on top of the base platform, which adds complexity and cost.
💰 Pricing
Free Tier: Yes – 100 tasks/month with two-step Zaps, plus Tables, Forms, and Zapier MCP included.
Professional: Starting from $19.99/month (billed annually) – multi-step Zaps, unlimited premium apps, Tables, Forms, and MCP included.
Team: Starting from $69/month (billed annually) – 25 users, shared Zaps, SAML SSO.
Enterprise: Custom pricing – unlimited users, advanced admin controls, observability.
AI Agents add-on: Free (400 activities/mo) or Pro ($33.33/mo for 1,500 activities).
Chatbots add-on: Free (2 chatbots), Pro ($13.33/mo for 5 chatbots), or Advanced ($66.67/mo for 20 chatbots).
Takeaway
If you already use Zapier for automation, it's a natural step to experiment with its AI features. It's best for scenarios where connecting different apps is the priority, and AI just plays one part in the workflow. It's a safe choice if you use niche tools that aren't covered by other platforms in this category.
3.
Make
Make is a visual-first no-code automation platform that lets you design complex workflows on a canvas by connecting modules from 3,000+ apps. It supports advanced logic like branching, filtering, iteration, and error handling, making it popular with power users who need more control than simpler tools offer. Make has recently expanded into AI with AI Agents (currently in beta), an AI Toolkit, MCP server support, and 400+ AI app integrations including OpenAI, DeepSeek, and Perplexity. The platform uses a credit-based billing model where each module action counts as one credit. Make is well-suited for technical users and teams that need to build sophisticated, multi-step automations with granular control over every step.
✅ Pros
Powerful visual scenario builder: The canvas-based editor lets you see exactly how data flows through your automation — great for debugging and complex logic.
Advanced workflow logic: Supports branching, filtering, iteration, and error handling that most simpler tools can't match.
Strong integration library: Connects with 3,000+ apps, with deep action support across most of them.
Generous pricing relative to complexity: Make offers more operations per dollar than Zapier, making it attractive for higher-volume automations.
❌ Cons
Steep learning curve: Make's power comes at a cost — non-technical users typically need 10–20 hours before feeling comfortable, and concepts like routers, iterators, and aggregators take real investment to learn.
Credit billing can get expensive: Make switched from operations to a credit-based model, and AI modules in particular can burn through credits quickly if you're not careful about how workflows are architected.
AI capabilities still maturing: The next-gen agents are in open beta and pricing may still evolve.
💰 Pricing
Free: $0/month – 1,000 credits/month
Core: $9/month – 10,000 credits/month
Pro: $16/month – 10,000 credits/month plus priority execution and advanced features
Teams: $29/month – 10,000 credits/month plus team collaboration
Enterprise: Custom pricing
Takeaway
Make is a strong choice for power users and technical teams who need granular control over complex, multi-step automations. Its visual canvas and advanced logic features are best-in-class for those willing to invest the time to learn them. However, the steep learning curve and credit-based billing complexity mean it's not ideal for non-technical users or teams that want to get started quickly. If you want similar visual automation power but with a much easier setup experience — especially for building AI agents — tools like Relay.app offer a more approachable alternative.
4.
Stack AI
Stack AI is an enterprise-focused platform for building and deploying AI agents with a strong emphasis on security and governance. It offers a visual workflow builder for creating agentic workflows, 100+ enterprise integrations, and flexible deployment options including multi-tenant, VPC, and on-premise. The platform is certified for HIPAA, SOC 2 Type II, GDPR, and ISO 27001, making it a fit for regulated industries like healthcare, finance, insurance, and defense. Trusted by organizations like IBM, MIT, YMCA, BAE Systems, and Nubank, Stack AI positions itself as an "AI transformation platform" for IT and enterprise architecture teams. It also provides dedicated white-glove support from AI experts to help organizations scale their agent deployments.
✅ Pros
Enterprise-grade security certifications: HIPAA, SOC 2 Type II, GDPR, and ISO 27001 — ideal for regulated industries.
Flexible deployment options: Supports multi-tenant cloud, VPC, and on-premise deployments to meet strict data residency needs.
100+ enterprise integrations: AI agents can read, write, and execute tasks within existing enterprise systems.
Dedicated white-glove support: Hands-on guidance from AI experts throughout the deployment lifecycle.
❌ Cons
No mid-tier pricing plan: Only a limited Free tier and custom Enterprise — growing teams have no self-serve paid option to scale into.
Sales-driven model: Most meaningful features require booking a demo and negotiating custom pricing.
Very limited free plan: 500 runs/month, 2 projects, and 1 seat make it hard to evaluate the platform in depth before committing.
Steeper onboarding for smaller teams: The platform is built for IT and enterprise architecture teams, which may feel heavy for simpler use cases.
💰 Pricing
Free: $0/month — 500 runs/month, 2 projects, 1 seat, community support on Discord.
Enterprise: Custom pricing — custom runs, unlimited projects, custom seats, all features and data loaders, dedicated infrastructure, on-prem and VPC deployment, SSO, access control, SOC 2/HIPAA/GDPR compliance, dedicated solution engineers.
Takeaway
Stack AI is a strong option for large, regulated enterprises that need robust security certifications and flexible deployment (including on-prem). However, its enterprise-only pricing model and sales-driven approach mean it's not accessible for smaller teams or individuals looking to get started quickly. If you need an AI agent builder that's easy to pick up without a sales call and offers a generous free tier with self-serve upgrades, a platform like Relay.app is a much more approachable starting point.
5.
n8n
n8n is an open-source workflow automation platform built for technical teams. It combines a visual workflow editor with the ability to write custom JavaScript or Python code, giving users flexibility to build automations their way. With 500+ integrations, 1,700+ templates, and self-hosting options (via Docker or from GitHub), n8n supports use cases across IT Ops, DevOps, SecOps, and Sales. The platform features an AI Workflow Builder, debugging tools with single-step re-runs, and enterprise capabilities including SSO/SAML/LDAP, version control via Git, RBAC, and audit logging. Trusted by companies like Delivery Hero, Vodafone, Microsoft, Meta, and Wayfair, n8n boasts 179k+ GitHub stars and a 200k+ member community.
✅ Pros
Code + no-code flexibility: Write JavaScript or Python alongside a visual UI editor — no need to choose one or the other.
Self-hosting available: Deploy with Docker and access the full source code on GitHub for complete data control.
Execution-based pricing: Pay per full workflow run, not per step or task, making costs more predictable.
Large open-source community: 179k+ GitHub stars and 200k+ community members providing templates and support.
❌ Cons
Steeper learning curve: Best suited for technical users — non-technical team members may struggle with the code-oriented approach.
Limited support on lower tiers: Dedicated support with SLA is only available on the Enterprise plan.
Self-hosted complexity: Self-hosting requires managing your own infrastructure, updates, and scaling.
Big pricing jump to Business: Significant leap from €50/mo (Pro) to €667/mo (Business), which may be steep for growing teams.
💰 Pricing
Community Edition: Free — self-hosted via GitHub, standard features
Starter: €20/mo (billed annually) — 2.5K executions, 5 concurrent executions, unlimited users, 1 shared project, 50 AI Builder credits, forum support
Pro: €50/mo (billed annually) — Custom executions, 20 concurrent executions, 3 shared projects, 150 AI Builder credits, admin roles, global variables, workflow history, 7-day insights
Business: €667/mo (billed annually) — 40K executions (self-hosted), 6 shared projects, SSO/SAML/LDAP, Git version control, environments, 30-day insights, scaling options
Enterprise: Contact Sales — Custom executions, 200+ concurrent, unlimited shared projects, 1,000 AI Builder credits, external secret store, log streaming, extended data retention, 365 days of insights, dedicated support with SLA, invoice billing
Startup Plan: 50% off Business for companies with fewer than 20 employees
Takeaway
n8n is a top choice for technical teams that want the power of code with the convenience of a visual workflow builder. Its open-source DNA, self-hosting option, and execution-based pricing model set it apart from competitors like Zapier and Make. The platform shines for IT Ops, DevOps, and SecOps automation where data control and customization matter most. Teams should be comfortable with a more technical setup, and smaller teams should note the significant price jump to access enterprise-grade features like SSO and Git version control on the Business plan. For teams that want a simpler, more accessible automation experience — especially with built-in human-in-the-loop controls — Relay.app is worth considering as an easier-to-use alternative.
6.
Relevance AI
Relevance is an AI workforce platform built specifically for sales and GTM teams. It lets you create AI agents that handle tasks like lead qualification, outbound prospecting, account research, and customer support — either through a chat-based copilot interface or as fully autonomous "workforces" triggered by pipeline events. The platform offers a no-code agent builder with pre-built templates (BDR Agent, Research Agent, Inbound Qualification Agent, etc.) and connects to 2,000+ integrations including HubSpot, Salesforce, Slack, and Gmail. Relevance.ai is used by companies like Canva, Autodesk, and KPMG, and includes enterprise features like SOC 2 Type II compliance, SSO, RBAC, and data residency controls.
✅ Pros
Purpose-built for GTM teams with pre-built agent templates for BDR, research, inbound qualification, and customer support workflows.
Multi-agent workforces that handle entire processes like inbound, outbound, and onboarding end-to-end.
2,000+ integrations including HubSpot, Salesforce, Slack, Gmail, and many more out of the box.
Enterprise-grade security with SOC 2 Type II, GDPR, SSO, RBAC, data residency, and version control.
❌ Cons
Designed specifically for sales and marketing teams, making it less flexible for general-purpose automation needs.
Free plan is very limited (200 actions/month), and the Team plan jumps to $234/month with no mid-tier option.
Advanced features like agent evaluations, work hour controls, and premium triggers are locked behind an Enterprise plan that requires contacting sales.
💰 Pricing
Free: $0/month – 200 actions/month, 1 user, 1 workforce, unlimited agents & tools
Team: $234/month (billed annually) – 84,000 actions/year, 5 build users, 45 end users, unlimited workforces
Enterprise: Custom pricing – unlimited users & projects, dedicated account manager, custom implementation
Takeaway
Relevance is a strong choice for sales and GTM teams that want purpose-built AI agents for prospecting, lead qualification, and pipeline management. Its pre-built agent templates and multi-agent workforce model make it easy to automate common sales motions at scale. However, its narrow GTM focus means it's not ideal for general-purpose automation, and the jump from Free to $234/month may feel steep for smaller teams. If you need a more versatile AI agent builder that works across departments — not just sales — Relay.app offers a more accessible and flexible option at a fraction of the price.
7.
OpenClaw
OpenClaw is an open-source personal AI assistant that runs on your own machine — Mac, Windows, or Linux — and connects to you through the chat apps you already use, including WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. It features persistent memory, full system access, browser control, and an extensible skill/plugin system that lets it take real actions like sending emails, managing calendars, running shell commands, and monitoring websites. OpenClaw supports Anthropic, OpenAI, and local models, and keeps your data private by default. It has a passionate developer community and 50+ integrations, but requires either self-hosting technical know-how or a paid cloud subscription to get started.
✅ Pros
Runs on your own machine: Your data stays private by default — supports Mac, Windows, Linux, and local AI models.
Works across chat apps: Talk to it via WhatsApp, Telegram, Discord, Slack, Signal, or iMessage with no app-switching.
Persistent memory and context: Remembers your preferences, past conversations, and business context across sessions.
Extensible with skills and plugins: Community-built skills plus the ability to create your own — or let OpenClaw write them itself.
❌ Cons
Steep setup for non-technical users: Self-hosting requires comfort with CLI tools, Node.js, and server management.
No visual workflow builder: Everything is conversational — there's no drag-and-drop UI to see or edit automation logic.
No built-in human-in-the-loop controls: The agent acts autonomously without structured review or approval checkpoints.
Unpredictable AI costs: You bring your own API keys, so LLM usage costs can add up quickly depending on activity.
💰 Pricing
Self-Hosted (Open Source): Free — requires your own server or machine, plus LLM API keys ($5–$50/month in infrastructure and API costs).
OpenClaw Cloud: $59/month ($29.50 for the first month with 50% off) — fully managed, no setup, automatic updates, running in 60 seconds.
Takeaway
OpenClaw is an exciting open-source project for technical users who want a fully self-hosted, always-on AI assistant with deep system access. It's impressive for power users comfortable with CLI setup and server management. However, for teams and non-technical users who need a structured, easy-to-use AI agent builder with visual workflows and human-in-the-loop controls, Relay.app is a better fit — it lets you build and manage AI agents in minutes without touching a terminal, and gives you oversight over every action your agents take.
8.
Claude Cowork
Claude Cowork is an agentic feature within Anthropic's Claude AI that lets users delegate complex, multi-step tasks to Claude and have it execute them autonomously. Available on the Pro plan and above, Cowork can read documents, pull out key points, check your calendar, build slide decks, write summaries, and more — all from a single prompt. It integrates with tools like Google Workspace, Slack, Notion, and Linear through connectors and remote MCP, and supports custom Skills for repeatable workflows. While Cowork is impressive for powering through individual productivity tasks, it operates as a general-purpose AI assistant rather than a structured workflow automation platform — meaning there are no built-in human-in-the-loop controls to review or approve actions before they're taken.
✅ Pros
Autonomous multi-step task execution: Delegate complex tasks like summarizing meetings, building decks, and writing reports — Claude handles the steps end-to-end.
Growing integration ecosystem: Connects to Google Workspace, Slack, Notion, Linear, and more through connectors and remote MCP.
Custom Skills: Create reusable instructions (SKILL.md) so Claude can repeat tasks consistently without re-prompting.
Cross-platform access: Available on web, desktop, iOS, and Android as part of the Claude experience.
❌ Cons
Requires a paid plan: Cowork is only available on the Pro plan ($17/mo+) — the free tier doesn't include it.
No human-in-the-loop controls: Tasks run autonomously without built-in checkpoints for review or approval before actions execute.
Not a workflow automation platform: Designed for individual AI-assisted productivity, not recurring multi-app business automations.
Locked into Claude's ecosystem: You can only use Anthropic's models — no flexibility to choose or compare outputs from other AI providers.
💰 Pricing
Free: $0/month – Chat, web search, code execution, desktop extensions, and connectors — but no Cowork access.
Pro: $17/month (annual) or $20/month (monthly) – Includes Cowork, Claude Code, unlimited projects, Research, memory, and more models.
Max: From $100/month – Everything in Pro, plus 5x or 20x more usage, higher output limits, and priority access.
Team: $20/seat/month (annual) or $25/seat/month (monthly) – Standard seats with Cowork, SSO, enterprise search, and admin controls. Premium seats at $100–$125/seat/month.
Enterprise: $20/seat + usage-based at API rates – All Team features plus SCIM, audit logs, HIPAA-ready offering, and custom data retention.
Takeaway
Claude Cowork is a compelling option for individual power users who want an AI assistant that can tackle multi-step tasks like summarizing meetings, building presentations, and conducting research. Its integration with tools like Google Workspace and Slack adds practical utility. However, Cowork is designed for personal productivity — not structured business automation. If you need recurring, multi-app workflows with human-in-the-loop oversight to review and approve what your AI agents do, Relay.app is a better fit. Relay.app lets you build reliable agentic workflows in plain language with built-in controls that keep you in charge.
9.
Manus
Manus is a general-purpose AI agent, now part of Meta, that can handle complex, multi-step tasks end-to-end. You describe what you need — build a website, create a slide deck, conduct deep research, design assets, or develop an app — and Manus executes autonomously by browsing the web, writing code, and producing deliverables. It offers features like a browser operator, Wide Research for scaling tasks across multiple sources, and integrations with Slack and email. While it's powerful for one-off creative and research tasks, it operates as a fully autonomous agent without built-in human-in-the-loop controls, meaning you have limited oversight over how it completes each step.
✅ Pros
• Handles a wide range of tasks end-to-end — from building websites to creating slides and conducting in-depth research.
• Browser operator feature lets the AI navigate and interact with the web on your behalf.
• Wide Research capability scales tasks across multiple sources simultaneously.
• Available on mobile, desktop, web, and via API for flexible access.
❌ Cons
• No human-in-the-loop controls — tasks run autonomously without built-in checkpoints for review or approval.
• Credit-based pricing can be hard to predict for variable or ongoing workloads.
• As a general-purpose agent, it may lack the depth of specialized workflow automation tools.
• Now owned by Meta, which may raise data privacy considerations for some teams.
💰 Pricing
Free Tier: Not listed — all plans appear to be paid.
Standard: Includes 4,000 credits/month + 300 daily refresh credits, 20 concurrent tasks.
Plus: 8,000 credits/month + 300 daily refresh credits, 20 concurrent tasks (customizable usage).
Pro: 40,000 credits/month + 300 daily refresh credits, 20 concurrent tasks (extended usage).
Team/Enterprise: Flexible plans for teams of all sizes with SSO and API access.
Annual billing saves 17%. Exact per-month pricing is displayed dynamically on their site.
Takeaway
Manus is impressive for tackling complex, one-off tasks like building a website from scratch or conducting wide-ranging research. However, for recurring business workflows and automations that benefit from human oversight, a tool like Relay.app offers more control, predictability, and the ability to review what your AI agents are doing before actions are taken.
10.
Tray
Tray.ai is an AI orchestration platform that combines a traditional iPaaS with AI agent building capabilities. Its Merlin Agent Builder lets teams create agents that can reason, act, and learn across connected systems — deployable to Slack, web apps, or APIs. The platform offers 600+ connectors, pre-built agent accelerators for IT, HR, knowledge, and support use cases, and enterprise-grade governance features like audit trails, guardrails, and role-based access control. Tray positions itself as a low-code builder for business technologists and development teams, with a focus on scaling AI agents across the enterprise stack. Pricing is entirely custom and sales-driven, with no self-serve plans available.
✅ Pros
• Enterprise-grade governance: Includes guardrails, audit trails, RBAC, and Merlin Guardian for sensitive data protection.
• Pre-built agent accelerators: Ready-to-use agents for ITSM, HR, knowledge, and support speed up time-to-value.
• 600+ connectors: Broad integration library for connecting across complex enterprise stacks.
• Flexible LLM support: Choose the best model for each use case with no vendor lock-in.
❌ Cons
• No public pricing or free tier: Every plan requires talking to sales, making it hard to evaluate costs upfront.
• Enterprise-oriented complexity: Designed for large IT teams — likely overkill for small businesses or simple automations.
• Steeper learning curve: The platform's power comes with more setup overhead compared to simpler AI agent builders.
• Merlin Agent Builder sold separately: AI agent capabilities are an additional purchase on top of core iPaaS plans.
💰 Pricing
Pro: Custom pricing – 3 workspaces, 7-day log retention, pairs with Merlin Agent Builder
Team: Custom pricing – 20 workspaces, all add-ons available, pairs with Merlin Agent Builder
Enterprise: Custom pricing – unlimited workspaces, all add-ons included, Embedded Bundle access
Merlin Agent Builder: Purchased separately – includes pre-built accelerators, guardrails, multi-LLM support
ITSM Accelerator Starter: Pre-built ITSM agent with 50,000 tasks, Slack/Teams integration, guided onboarding, and enterprise support
No free tier — all plans require contacting sales.
Takeaway
Tray.ai is built for enterprise IT teams that need to orchestrate AI agents across a complex tech stack with strong governance and compliance controls. Its Merlin Agent Builder and pre-built accelerators can speed up deployment for use cases like ITSM and HR. However, the lack of public pricing, no free tier, and sales-driven onboarding make it a poor fit for smaller teams or anyone who wants to get started quickly. If you're looking for an easier, more accessible way to build AI agents without an enterprise sales cycle, Relay.app is a much faster path from idea to live agent.
The bottom line
When picking a Gumloop alternative, focus on your unique needs, workflow complexity, ideal future outcomes, and the AI features that matter most. Don’t hesitate to test tools to find the best match. The right platform won’t just save time and cut down errors — it’ll supercharge your business, giving you an edge to thrive in today’s AI-driven landscape.
If you want to get started with AI-powered app integrations, like automatically parsing emails and adding them to a Google Sheet, a tool like Relay.app stands out for its ease of use, flexibility, and power, making it ideal for both beginners and experienced users. With Relay.app’s built-in AI actions and human-in-the-loop capabilities, you can automate everything from simple tasks to complex workflows without the steep learning curve of a tool like Gumloop.
Ready to start scaling your business with Relay.app? Sign up for free today.
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