GumloopPaid
A visual AI automation platform where the nodes are AI steps rather than API calls — closer to an agent builder than to Zapier.
Automation comparison
Gumloop vs Relevance AI
Pricing, pros, cons, and ideal use cases — side by side.
Relevance AIEnterprise
An "AI workforce" platform for building specialist agents across sales, support, marketing, and ops — with evaluation and model routing built in.
At a glance
| Gumloop | Relevance AI | |
|---|---|---|
| Pricing | PaidPro from $37/month with 20,000 credits, 35+ models, unlimited agents and seats, plus an 8% orchestration fee. Enterprise custom with RBAC, audit logs, and MCP server hosting. 14-day free trial on both. | EnterpriseNot published as tiers. The vendor publishes per-task economics instead: roughly $0.01-$0.11 per task depending on agent complexity, averaging about $0.09. Enterprise pricing via sales. |
| Category | Automation | Automation |
| Ideal for | Marketing and growth teams automating research and contentOperations teams doing document and data processingAgencies building client-facing automationsTechnical-adjacent operators who do not want to write code | Sales and revenue ops teams automating research and enrichmentCustomer success teams handling renewals at scaleMarketing and content operationsDepartmental buyers who want agents without a platform-engineering project |
Pros & cons
Gumloop
Pros
- AI-native nodes, not just data plumbing
- Unlimited agents and seats even on the Pro plan
- 35+ models selectable per step
- Enterprise tier hosts and proxies MCP servers
Cons
- Credit metering makes cost hard to predict — test before committing
- 8% orchestration fee on top of the plan price is easy to miss
- Visual canvases get hard to maintain past a certain complexity
- Smaller connector library than Zapier or Make
Relevance AI
Pros
- Evaluation framework and pass-rate monitoring built in
- Automatic model routing to the cheapest model meeting your quality bar
- 1,000+ application integrations
- Enterprise security: SOC 2, RBAC, SSO/SAML, audit logs, PII masking
- Pre-built specialist agents shorten time to first value
Cons
- No published tier pricing — per-task economics make budgeting harder
- Multi-agent orchestration still demands real design work
- Departmental deployments can sprawl without central governance
- Pre-built agents need substantial tuning to fit your process
Which should you choose?
Gumloop is the lighter-weight option (Paid), while Relevance AI sits higher on the pricing ladder (Enterprise). Gumloop is built around marketing and growth teams automating research and content; Relevance AI leans more toward sales and revenue ops teams automating research and enrichment. Shortlist the one whose strengths line up with your biggest constraint.