Visual AI automation platform for building complex workflows with drag-and-drop nodes and AI processing.
Build AI automation workflows by dragging and dropping components — create complex business processes with AI without coding.
Gumloop is a visual AI automation platform that lets users build complex workflows by connecting drag-and-drop nodes on a canvas. Each node represents a step in the workflow — web scraping, AI text processing, data transformation, API calls, file operations, or conditional logic — and data flows between nodes automatically.
The platform stands out for its AI-native approach to automation. While traditional automation tools treat AI as just another step, Gumloop makes AI processing central to every workflow. Nodes for summarization, extraction, classification, and generation are first-class citizens alongside traditional automation blocks. Users can leverage GPT-4, Claude, and other models within any node, with prompt templates and variable injection making it easy to create dynamic AI processing pipelines.
Gumloop's web scraping capabilities are particularly strong. Users can point the scraping node at any URL and the AI automatically identifies and extracts relevant content. Combined with batch processing nodes, this enables workflows that scrape hundreds of pages, extract specific data points with AI, transform the results, and output clean structured data — all without writing code.
The platform supports looping, conditional branching, error handling, and parallel execution, making it capable of handling complex real-world workflows. Integration nodes connect to popular services like Google Sheets, Slack, email providers, and databases. The API endpoint feature allows workflows to be triggered externally, turning any Gumloop automation into a callable service.
Gumloop recently raised $50M in funding (March 2026) and has expanded into enterprise features including Gumstack — their infrastructure layer for running agents on secure, managed infrastructure with SSO, audit logs, and VPC deployment options.
Gumloop targets marketers, researchers, and operations teams who need to build AI-powered automations quickly. Common use cases include content generation pipelines, lead enrichment workflows, competitive research automation, and data processing jobs that combine web scraping with AI analysis.
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Drag-and-drop interface where nodes represent workflow steps connected by data flow arrows. Supports complex branching, loops, and parallel execution paths.
Use Case:
Building a content research pipeline that scrapes competitor blogs, summarizes key points, and generates comparison reports.
Built-in nodes for text summarization, data extraction, classification, generation, and transformation powered by multiple LLM providers including GPT-4.1 and Claude.
Use Case:
Processing a batch of customer reviews to extract sentiment, key themes, and actionable insights automatically.
AI-powered scraping nodes that render pages in a full browser environment and automatically identify and extract relevant content without manual CSS selector configuration.
Use Case:
Scraping product listings from e-commerce sites and extracting prices, descriptions, and availability data across hundreds of pages.
Process lists of inputs through workflow nodes in parallel, with automatic rate limiting and error handling for large-scale operations.
Use Case:
Enriching a list of 1,000 company domains with scraped website data and AI-generated company summaries.
Expose any workflow as a callable API endpoint with custom input parameters and structured output, turning automations into reusable internal services.
Use Case:
Creating an internal API that team members can call to generate formatted research briefs on any topic.
Native connections to Google Sheets, Slack, Gmail, Airtable, CRMs, and file storage for reading inputs and writing outputs from workflows.
Use Case:
Reading prospect lists from Google Sheets, enriching data through AI workflows, and writing results back to the sheet.
Free
month
$37.00/month
month
$244.00/month
month
Custom pricing for large organizations. Includes Gumstack infrastructure.
Ready to get started with Gumloop?
View Pricing Options →Marketing teams building automated pipelines that scrape competitor content, analyze trends with AI, generate article outlines, and populate content calendars — all through a visual workflow.
Sales operations teams enriching prospect lists by scraping company websites, extracting key data points with AI, and writing enriched profiles back to CRM systems.
Strategy teams building automated workflows that monitor competitor websites, extract pricing and feature changes, summarize differences with AI, and alert stakeholders via Slack.
Operations teams processing unstructured data (emails, documents, forms) through multi-step AI workflows that classify, extract, transform, and route information to the right systems.
We believe in transparent reviews. Here's what Gumloop doesn't handle well:
Gumloop is AI-native — designed specifically for workflows involving AI processing like summarization, extraction, and generation. Zapier and Make are trigger-action automation tools that have added AI steps but aren't built around them. Gumloop's visual canvas and AI-first nodes make it better for AI-heavy workflows, while Zapier/Make have broader integration libraries for traditional app-to-app automation.
Credits are consumed per action: standard AI calls cost 2 credits, advanced AI calls (GPT-4.1, Claude) cost 20 credits, and scraping/enrichment nodes use credits per interaction. The Free plan includes 2,000 credits, Solo gets 10,000, and Team gets 60,000. A simple workflow might use 10-50 credits per run, while batch AI processing workflows can consume hundreds of credits per execution.
Yes, you can bring your own OpenAI, Anthropic, or other API keys starting from the Solo plan to reduce credit consumption on AI processing nodes. The platform also includes built-in AI access through its credit system for getting started without setting up external accounts.
Yes. Workflows can be exposed as API endpoints that accept webhooks and HTTP requests. They can also be scheduled on recurring intervals or triggered manually from the dashboard. The API endpoint feature effectively turns any Gumloop automation into a callable microservice.
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Gumloop raised $50M in March 2026 to expand its AI automation platform. New Gumstack infrastructure layer enables enterprise deployment with SSO, audit logs, VPC hosting, and hosted LLMs. The platform has expanded its AI node library to support GPT-4.1 and Claude Sonnet 3.7, with credit costs varying by model capability.
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