Beam AI vs Gumloop
A side-by-side comparison of Beam AI and Gumloop, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Beam AI | Gumloop |
|---|---|---|
| Category (differs) | Agent | Automation |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | Web |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Beam AI | Gumloop |
| Capabilities (differs) |
|
|
The honest brief
Beam AI
Turns a written SOP into a self-learning agent for back-office ops — built for deeply integrated enterprise workflows, not lightweight task automation.
- Builds agents from existing SOPs
- Deep enterprise system integration
- Spans finance, HR, and ops
- Handles document and data-entry work
- Enterprise sales, custom pricing
- Not aimed at individual users
- Setup needs process documentation
Gumloop
AI-native canvas where agents and workflows call each other, plus MCP integrations built from a prompt.
- AI-first node-graph builder
- Agents can call workflows and self-correct
- Build MCP integrations via natural language
- No-code, fast to prototype
- ~100 integrations vs Zapier's thousands
- Ecosystem still maturing
- Less mature error handling than Make
When to pick which
Both cover Multi-agent orchestration.
Pick Beam AI if you need Trigger-action automation and Document parsing (structured).
- Trigger-action automation (primary capability)
- Document parsing (structured) (primary capability)
Pick Gumloop if you need Workflow orchestration, Web scraping, and MCP server.
- Workflow orchestration (primary capability)
- Web scraping (secondary capability)
- MCP server (secondary capability)
Beam AI leans on Multi-agent orchestration as a headline capability; Gumloop treats it as secondary.
- Multi-agent orchestration (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- Platforms
- Web, API · Web