Gumloop
FreemiumAI agents built for and by your team.
Gumloop is a no-code AI automation framework that lets teams build visual workflows and deploy AI agents across apps, data sources, and communication channels. It combines a drag-and-drop node canvas, multi-model AI steps, app integrations, and a Chrome extension for browser automation. The platform is designed for operations, marketing, sales, and data teams that want to replace repetitive manual work with repeatable AI-powered pipelines.
What is it
A no-code AI automation framework that lets teams build agents and multi-step workflows on a visual canvas.
What it can do
Connect apps and data sources, chain AI model calls, schedule recurring runs, deploy agents in Slack or Teams, and automate browser actions through a Chrome extension.
Who is it for
Operations, marketing, sales, and data teams that want to turn repetitive manual work into repeatable AI-powered pipelines.
Key Features
Visual Workflow Builder – Drag-and-Drop Canvas
Build multi-step automations by connecting trigger, logic, AI, and app-action nodes on a canvas without writing code.
Pre-Built AI Agents – Ready-Made Team Assistants
Roll out specialized agents for data analysis, support triage, CRM updates, meeting prep, and call analysis in minutes.
Multi-Model AI Nodes – Choice of AI Providers
Switch between Anthropic, OpenAI, Google, DeepSeek, Perplexity, and Meta models per step without managing separate API accounts.
MCP Node Support – AI-Generated Integrations
Describe the integration you need in plain language and Gumloop uses the Model Context Protocol to generate a custom node with Python behind the scenes.
Use Cases
Lead Enrichment & Outreach
Sales teams scrape LinkedIn profiles, research prospects, and draft personalized outbound emails at scale.
Automated Support Triage
Support teams classify incoming tickets, create issues, route escalations, and spot recurring problem patterns.
Competitive Research
Marketing teams gather news, pricing, and positioning data from multiple web sources into structured reports.
Data Analysis & Reporting
Data teams query warehouses, summarize results, and deliver recurring dashboards to stakeholders.
Pricing plans
Frequently Asked Questions
Discussion
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