What each tool does
Gumloop is a multiplayer AI agent builder. People across a company can build, share and improve agents, choose any AI model and connect a wide range of integrations, while IT controls access. Example agents cover sales, support, data, meetings and CRM, such as a prospect research agent that keeps deal records up to date.
Relevance AI helps teams create specialist agents for particular jobs, such as enriching CRM accounts, preparing meeting briefs or logging call notes and follow-ups. It is built for very high task volumes and shows cost, model choice and evaluation results for each task. It targets enterprise use.
Key differences
- Breadth: Gumloop aims to let anyone build agents for many functions. Relevance AI focuses on role-specific agents for sales, customer success, marketing and HR.
- Collaboration: Gumloop is built as a shared multiplayer workspace.
- Measurement: Relevance AI highlights per-task cost tracking and evaluation monitoring.
- Control: Gumloop highlights IT access controls and any-model choice.
- Pricing: both are freemium. Check each pricing page for current plans.
Which should you choose?
Choose Gumloop if you want staff across several departments to build and share their own agents without heavy coding, with IT keeping permissions in order.
Choose Relevance AI if your main focus is sales or customer success at scale, and you want to measure exactly what each agent task costs and how well it performs.
Can you use both?
They overlap in sales and CRM use cases, so most companies will pick one. Try both free options with the same task, such as prospect research, and compare how easy they are to set up and how clearly they report results.
