Gumloop is an AI-native workflow automation platform that lets teams build custom AI agents and automations using a visual, node-based editor – no coding required. It is the automation tool built for the AI era – it does things Zapier and Make simply cannot, but you will need to invest time learning its visual builder.
See how this compares in our Best AI marketing automation tools 2026 guide.
Key Facts:
Free plan credits
Starting price (Solo)
Series B (Benchmark)
Instacart, Webflow, Ramp
What Is Gumloop?
Gumloop is a no-code AI automation platform that combines traditional workflow automation with native AI capabilities. Unlike Zapier or Make where AI features were bolted on after launch, Gumloop was built from the ground up with large language models at its core. You drag and drop nodes on a visual canvas to create workflows that can call GPT-4, Claude, Gemini, or DeepSeek – without needing your own API keys.
Think of it as the next generation of workflow automation: instead of just connecting App A to App B, you can add AI reasoning, classification, summarization, and decision-making at every step.
Founded: 2023, San Francisco (Y Combinator W24 batch)
Funding: $50M Series B led by Benchmark (March 2026), with participation from Nexus VP, First Round Capital, Y Combinator, Shopify Ventures
Customers: Shopify, Instacart, Webflow, Ramp, Gusto, Samsara, Opendoor
Mission: “Understanding a task should be the only prerequisite to automating it”
Key Facts & Specifications
| Metric | Value |
|---|---|
| Launch Year | 2023 (YC W24) |
| Free Plan | 2,000 credits, 2 concurrent runs |
| Solo Plan | $37/month (10,000 credits) |
| Team Plan | $244/month (60,000 credits, 10 seats) |
| AI Models Included | GPT-4, Claude, Gemini, DeepSeek, Grok (no API keys needed) |
| Pre-built Blocks | 115+ automation nodes |
| Integrations | 30+ native (Slack, Gmail, HubSpot, Salesforce, Airtable, more) |
| Security | SOC 2 Type II, GDPR compliant, VPC deployment available |
| MCP Support | Yes – Model Context Protocol for universal tool connections |
What Makes Gumloop Different From Zapier and Make?
This is the question everyone asks, so let’s address it directly.
Zapier connects 8,000+ apps with simple if-this-then-that logic. It is the easiest automation tool to use, but AI capabilities were added Later and feel like an afterthought.
Make offers more complex visual workflows at a fraction of Zapier’s price. It has 2,500+ integrations and is our #1 pick for workflow automation overall.
Gumloop was built AI-first. Every workflow can call premium LLMs without API keys. You can add AI classification, extraction, scoring, and image analysis nodes at any point. This means you can build automations that require reasoning – not just data routing.
| Feature | Gumloop | Zapier | Make |
|---|---|---|---|
| AI Models Included | GPT-4, Claude, Gemini, DeepSeek | ChatGPT only | OpenAI only (API key needed) |
| API Keys Required | No (included in subscription) | Partial | Yes |
| Integrations | 30+ | 8,000+ | 2,500+ |
| Starting Price | $37/month | $19.99/month | $9/month |
| Free Plan | 2,000 credits | 100 tasks | 1,000 ops |
| Visual Builder | Canvas (node-based) | Linear (step-based) | Flowchart |
| AI Agent Building | Native | Limited | Limited |
| Best For | AI-powered workflows | Simple app connections | Complex workflows on a budget |
Key Features We Tested
1. Visual Canvas Builder
Gumloop’s drag-and-drop canvas is where you build everything. Each automation is a flow of connected nodes – input nodes, processing nodes, AI nodes, and output nodes. It is more flexible than Zapier’s linear step list but takes longer to learn. We built a complete lead qualification workflow in about 45 minutes on our first try. By the third workflow, we were down to 15 minutes.
2. Built-in AI Models (No API Keys)
This is Gumloop’s killer feature. You add an AI node, pick a model (Claude, GPT-4, Gemini, DeepSeek), write a prompt, and it works. No API key management, no usage tracking across providers, no surprise bills from OpenAI. Gumloop absorbs the LLM costs in your subscription. For teams juggling multiple AI subscriptions, this alone can save $50-100/month.
3. AI Agent Templates
Gumloop includes pre-built agent templates for common use cases: Data Analysis, Customer Support, CRM Management, Meeting Prep, and Call Analysis. We tested the CRM agent – it monitored our HubSpot pipeline, classified new leads using Claude, scored them based on criteria we defined, and routed high-priority leads to Slack. Took 20 minutes to set up.
4. MCP (Model Context Protocol) Support
Gumloop supports MCP, the open-source standard that acts as a universal connector for AI systems. This means even though Gumloop only has 30+ native integrations (far fewer than Zapier or Make), MCP lets your AI agents connect to virtually any tool with an API. It is a smart technical bet that partially compensates for the smaller integration library.
5. Batch Processing
Where Gumloop shines for marketers: batch operations. We processed 500 blog post titles through an AI classification node, categorized them by topic and intent, scored them for SEO potential, and exported the results to Google Sheets. The entire batch took 8 minutes. Doing this manually would have taken a full day.
Real-World Marketing Use Cases
Here is what we actually built and used during our testing period:
Lead qualification agent: New form submissions get analyzed by Claude, scored on 5 criteria, and routed to the right sales rep via Slack – fully automated
Content research pipeline: Input a keyword, Gumloop scrapes top 10 SERP results, extracts key topics using GPT-4, and generates a content brief in Google Docs
Review monitoring: Monitors G2 and Capterra for competitor mentions, summarizes new reviews, and flags negative sentiment in a Slack channel
Email personalization at scale: Takes a CSV of 200 leads, researches each company via web scraping, and generates personalized email openers using Claude
Pros & Cons
What We Liked
-> No API key management: Access GPT-4, Claude, Gemini, and DeepSeek through a single subscription – huge time and cost saver
-> Powerful batch processing: Handle hundreds or thousands of items in a single flow, with AI analysis at each step
-> SOC 2 + GDPR compliant: Enterprise-ready security with zero data retention agreements from AI providers
-> $50M Benchmark backing: Well-funded with a strong investor signal – this platform is here to stay
-> Beautiful visual canvas: The node-based editor is genuinely enjoyable to work in once you learn it
Watch Out For
-> Credit-based pricing gets expensive: Heavy users will burn through 10,000 credits fast. The Team plan at $244/month is steep
-> Learning curve: Takes 2-3 hours to feel comfortable with the canvas builder. Not as instant as Zapier’s guided setup
-> No outcome guidance: Gumloop does not suggest what to build next – you need to know what you want to automate
-> Young platform: Some features still feel early-stage. Documentation could be more comprehensive
Pricing Breakdown
| Plan | Price | Credits | Seats | Key Features |
|---|---|---|---|---|
| Free | $0 | 2,000 | 1 | Basic access, 2 concurrent runs, forum support |
| Solo RECOMMENDED | $37/mo | 10,000 | 1 | API keys, 5 list steps, event triggers, priority support |
| Team | $244/mo | 60,000 | 10 | Workspaces, 15 list steps, Slack support |
| Enterprise | Custom | Custom | Unlimited | VPC, SSO (Okta), dedicated support, SLAs |
Important note on credits: AI-heavy workflows consume more credits than simple data routing. A workflow that calls Claude on every step will use significantly more credits than one that just moves data between apps. Monitor your usage closely during the first month to understand your actual consumption rate.
Who Is Gumloop For?
Perfect For:
-> Teams tired of managing API keys: One subscription covers GPT-4, Claude, Gemini, and more – no separate billing from each AI provider
-> Operations teams processing data at scale: Batch processing hundreds of items with AI analysis at each step is where Gumloop truly shines
-> Companies that need enterprise security: SOC 2 Type II, GDPR, VPC deployment, and zero data retention make it compliant for regulated industries
Not Ideal For:
-> Non-technical solo users: If you want the fastest possible setup without a learning curve, Zapier is still easier to start with
-> Budget-conscious teams: Make starts at $9/month and handles most automation needs. Gumloop’s $37/month Solo plan is only worth it if you need the AI capabilities
Verdict
Gumloop is the first automation platform that makes AI a first-class citizen in every workflow. The included LLM access (no API keys) is a genuine differentiator that saves both time and money. The small integration library is a real limitation, but MCP support and the visual canvas builder make up for it if AI-powered workflows are your priority. If you are still on Zapier and wondering whether AI-native automation is worth the switch, start with Gumloop’s free plan and build one workflow. You will know within an hour whether it is right for your team.
Bottom Line
Gumloop scores 8.2/10 in our testing. It is the automation tool built for the AI era – purpose-built for teams that need AI reasoning inside their workflows, not just app-to-app data routing. The included LLM access without API keys is a genuine differentiator.
Frequently Asked Questions
Q: Is Gumloop better than Zapier?
For AI-powered workflows, yes. Gumloop’s native LLM integration is far more capable than Zapier’s AI features. But for simple app-to-app automations, Zapier wins on integrations (8,000+ vs 30+) and ease of use. Most teams benefit from using both: Zapier for simple connections, Gumloop for AI-heavy workflows.
Q: How does Gumloop compare to Make?
Make is more affordable ($9/month vs $37/month), has far more integrations (2,500+ vs 30+), and excels at complex visual workflows. Gumloop wins on AI capabilities – built-in LLM access without API keys, AI agent templates, and MCP support. Choose Make for general automation on a budget; choose Gumloop when your workflows need AI reasoning at every step.
Q: Do I need my own API keys for AI models?
No. Gumloop includes access to GPT-4, Claude, Gemini, DeepSeek, and Grok in your subscription. You can optionally bring your own API keys if you prefer, but it is not required. This is one of Gumloop’s biggest advantages over competitors like Make and n8n, where you need separate API subscriptions.
Q: What are Gumloop credits and how fast do they run out?
Credits are Gumloop’s usage currency. Simple data operations use fewer credits; AI model calls use more. On the Solo plan (10,000 credits/month), you can typically run 50-100 moderate AI workflows per day. Heavy users running batch operations with multiple AI nodes may need the Team plan. Start with the free plan (2,000 credits) to measure your actual usage before committing.
Q: Is Gumloop secure enough for enterprise use?
Yes. Gumloop is SOC 2 Type II certified and GDPR compliant. They offer Virtual Private Cloud deployment, SSO via Okta, role-based access controls, audit logging, and zero data retention agreements with all third-party AI model providers. Companies like Shopify, Instacart, and Ramp already use it.
Sources: Gumloop Official, TechCrunch, Gumloop Series B Announcement. Published March 17, 2026.