Home/Gumloop
Gumloop collaborative AI agent builder logo

Gumloop

Gumloop is a collaborative visual platform for building workplace AI agents and multi-step automations with models, integrations, recurring triggers, shared credentials, and enterprise controls.

Visit website
Gumloop visual canvas for workplace AI agents, integrations, and multi-step automation

Product overview

What is Gumloop?

Gumloop is a visual AI agent and workflow builder designed to let subject-matter experts automate work while IT controls access, models, credentials, and spending. Teams connect models, internal data, external services, triggers, and workflow logic on a shared canvas, then expose agents through workplace channels such as Slack, Microsoft Teams, and email.

The platform supports specialized agents for data analysis, customer support, CRM maintenance, meeting preparation, call analysis, marketing, recruiting, and other recurring work. Agents can combine several tools and models, run on schedules or events, and coordinate through multi-agent workflows.

How to Use Gumloop

  1. Create a workspace and choose a template, agent, or blank workflow.
  2. Connect only the data sources and services required for the task.
  3. Add instructions, models, tools, steps, branches, and an input trigger.
  4. Test with representative data and inspect outputs, tool calls, and credit consumption.
  5. Add schedules, Slack or email access, approval steps, and error handling.
  6. Publish to a limited group, monitor runs, and expand access only after validation.

Core Features

  • Visual agent builder: Combines models, integrations, tools, and workflow logic on a canvas.
  • Multi-agent orchestration: Coordinates specialized agents across a larger process.
  • Recurring and event triggers: Runs agents on schedules, form submissions, messages, or other events.
  • Workplace interfaces: Lets users call agents from Slack, Microsoft Teams, Gmail, and supported channels.
  • Model choice: Supports multiple model providers and organization-level model restrictions.
  • Shared integrations: Connects business systems while centralizing credentials and policies.
  • Usage governance: Tracks credits and supports budgets, quotas, and spend visibility.
  • Enterprise security: Lists RBAC, SSO, audit logs, VPC deployment, retention controls, and zero-data-retention arrangements.

Use Cases

  • Answer questions against a data warehouse and prepare recurring analysis.
  • Qualify leads, research prospects, update CRM records, and prepare meetings.
  • Triage support issues, create tickets, and identify recurring customer patterns.
  • Analyze calls for objections, coaching opportunities, and competitive intelligence.
  • Automate content, campaign, recruiting, and operational tasks across connected tools.

Pricing

Gumloop offers a Free plan with 5,000 credits per month, one seat, one active trigger, two concurrent runs, and unlimited agents and flows. Pro currently starts at $37 per month with at least 20,000 credits and expanded collaboration and concurrency. Enterprise uses custom pricing.

Frequently Asked Questions

Is Gumloop only for developers?

No. It is designed so people who understand a business task can build an agent visually, while technical and IT teams manage integrations and controls.

What consumes credits?

Workflow execution, selected AI models, data services, custom code, enrichment, and agent tool use can consume different amounts of credits.

Should agents receive broad access to company systems?

No. Use least-privilege credentials, scoped tools, test data, approval steps, audit logs, and human review for consequential actions.

Back to product directory

Related products

Adala is a Python framework for autonomous data-labeling agents that learn skills iteratively from a ground-truth dataset and apply them through an LLM runtime.

Adot is a decentralized AI search network designed to help users discover information across the Web3 ecosystem.

Agentcy is a hosted marketing AI agent that connects marketing data to AI and MCP clients, combining multiple sources into concise answers and recommendations.

Newsletter

Keep up with useful AI products

Get a concise selection of new products, practical use cases, and builder updates.