Gumloop

What is Gumloop?

Gumloop is a no-code AI automation platform that combines the power of multiple AI models with visual workflow building. It features 100+ native integrations and enables teams to build sophisticated workflows that make intelligent decisions using AI, without requiring technical expertise.

When was this tool last updated? Gumloop was founded in 2023 by former Microsoft and AWS engineers and has been actively updating throughout 2024-2025. Recent updates include integration with Gemini 2.0 and OpenAI's O3 Mini model, with regular feature releases documented in their public changelog.

Why experiment with it in marketing ops?

• Combines multiple AI models (OpenAI, Anthropic, Gemini) in single workflows without additional fees.
• Visual drag-and-drop builder makes complex automation accessible to non-technical users.
• Enterprise-ready with SOC 2, GDPR compliance, and VPC deployment options.
• 100+ native integrations connect to popular business applications.
• AI-enhanced decision making allows workflows to adapt and respond intelligently.

Capabilities

Example Use Cases

• Build lead qualification workflows that use AI to score and route prospects.
• Create content generation pipelines that adapt messaging based on audience data.
• Automate customer support triage using AI to categorize and prioritize tickets.
• Set up sales intelligence workflows that research prospects and generate outreach.
• Deploy operations workflows that monitor metrics and trigger actions automatically.

Community Insights

Users on Product Hunt praise Gumloop for its intuitive interface and powerful customization capabilities, with many noting it's "much better than Make or n8n" for complex automation tasks. Marketing agencies report being "quite blown away" by its capabilities compared to other AI tools.

Some users find the initial learning curve steep and mention support limitations (primarily email-based rather than live chat). The pricing jump from free to paid plans is also noted as a consideration for smaller teams exploring the platform.