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The no-code platform to build and host AI-powered business automations.

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About Gumloop

Gumloop is a no-code platform designed to empower businesses to build and host AI-powered automations. It simplifies the creation and deployment of specialized AI agents, enabling teams to automate complex tasks across various departments without requiring extensive AI expertise or coding skills. The platform offers a visual canvas for orchestrating multi-agent workflows, integrating with both internal and external data sources. Users can deploy pre-built agents for data analysis, CRM management, sales call analysis, SEO, and more, or build custom agents tailored to specific business needs. Gumloop supports interaction with these agents directly within communication tools like Slack, Microsoft Teams, and email. Gumloop is ideal for enterprises and teams seeking to enhance operational efficiency, improve decision-making, and streamline workflows through intelligent automation. With robust enterprise-grade security features like role-based access control, virtual private cloud deployments, audit logging, and SOC 2 Type II certification, it ensures secure and compliant AI operations.

Key Features

  • No-code AI agent building and hosting
  • Multi-agent workflow orchestration canvas
  • Integration with internal and external data sources
  • Pre-built specialized AI agents (Data Analysis, CRM, Support, Sales, SEO)
  • Interact with agents via Slack, Microsoft Teams, and email
  • Flexible AI model selection (OpenAI, Anthropic, Gemini, DeepSeek)
  • Enterprise-grade security (RBAC, VPC, audit logging, SSO, ZDR, SOC 2 Type II)
  • Gumstack for AI security, observability, and centralized access controls

Pros

  • Enables rapid deployment of specialized AI agents without coding expertise
  • Offers robust enterprise-grade security and compliance features including SOC 2 Type II
  • Supports integration with a wide range of internal and external data sources and tools
  • Facilitates natural language interaction with AI agents in common communication platforms
  • Provides flexibility with choice of underlying AI models, preventing vendor lock-in
  • Includes Gumstack for comprehensive AI security, monitoring, and auditing across platforms

Cons

  • Pricing scales with credit usage, which may lead to unpredictable costs for high-volume users
  • Advanced enterprise features like VPC deployments and SCIM/SAML are restricted to custom-priced plans
  • Requires a conceptual understanding of AI agents and workflow design for optimal utilization
  • The platform's full potential may require significant initial setup and integration effort with existing systems
  • Limited public information on community support or extensive third-party integrations beyond listed examples

Pricing

Free plan offers 5k credits/month, 1 seat, 1 active trigger, 2 concurrent runs, 5 concurrent agent interactions, and forum support. Pro plan starts at $37/month (or $355/annually for 20% off) for 20k+ credits, unlimited seats, 5 concurrent runs, 25 concurrent agent interactions, unified billing, and more. Enterprise plan offers custom pricing with advanced features like role-based access control, VPC deployments, and audit logs.

Connect with Gumloop

Frequently Asked Questions

Credits are the unit of usage within Gumloop, consumed by AI agent interactions, tool calls, and workflow executions. Different actions consume varying amounts of credits.

Yes, Gumloop allows you to bring your own API keys for AI models and route requests through your own proxy, offering flexibility and control over your AI spend.

The website does not explicitly state whether unused credits roll over. It is advisable to contact Gumloop sales for clarification on credit rollover policies.

Yes, Gumloop supports team collaboration with features like unlimited seats and teams in the Pro plan, and role-based access control in the Enterprise plan, allowing shared credentials and scoped access.

Yes, Gumloop offers a Free plan that includes 5k credits per month, 1 seat, 1 active trigger, and limited concurrent runs and agent interactions, allowing users to try before committing.

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