Lindy vs Gumloop vs Relevance AI: AI agents at work
Three agent platforms for business teams compared on how agents are built and used, browser automation and pricing.
Business teams increasingly want AI agents that do real work across their tools, not just chat. Lindy, Gumloop and Relevance AI all promise that, but they package it differently: Lindy is a ready-made AI teammate inside Slack, Gumloop is a platform for building and sharing agents, and Relevance AI sells an AI workforce with an embedded deployment team for enterprises.
The short answer
- Choose Lindy if you want an AI teammate in Slack that handles research, triage, meetings and inboxes with little setup.
- Choose Gumloop if domain experts should build their own agents, including browser agents for sites without APIs.
- Choose Relevance AI if you are an enterprise wanting guided deployment of agent teams for sales and operations.
Side by side
| Lindy | Gumloop | Relevance AI | |
|---|---|---|---|
| Model | AI teammate you assign work to | Agent builder with shared agents | Agent workforce with deployment support |
| Where you use it | Slack threads, email, meetings | Team chats, browser, connected tools | Sales and operations workflows |
| Builders | Mostly ready to use | Non-technical domain experts | Non-technical teams with Invent, plus vendor experts |
| Free start | US$50 of credits valid for 7 days | 14-day trial of Pro | Through sales |
| Paid | From US$29.99 per active user a month (3,000 credits) | Pro from US$37 a month (20,000 credits) | Custom pricing |
Ready-made teammate or agent factory?
Lindy aims to work immediately: mention it in Slack, give it a task such as clustering support tickets or investigating a spike in ad spend, and it reports back, asking before it takes actions like pausing a campaign. Gumloop expects you to build agents for your own processes, then share them across the company with permissions. Relevance AI combines a builder called Invent with consultants who map workflows and help ship a first pilot.
Browser automation and risk
Gumloop stands out for browser agents that operate real websites, sign in with saved credentials or a password manager and hand control to a person when approval is needed, with sessions recorded. Any agent acting on real accounts needs tight permissions and review steps, whichever platform you choose.
Costs to watch
Lindy bills every active user plus credits for work done. Gumloop’s credits vary by model, so frontier models use allowances faster. Relevance AI prices through sales. In each case, estimate how many tasks agents will run per month.
How to decide
- Choose one repetitive process with a clear definition of done.
- Decide who will build and maintain the agent: you, a domain expert or a vendor team.
- Pilot it for two weeks and measure time saved against errors introduced.
- Review what each agent can access and keep approvals for external actions.
- Model monthly credits or seats at the volume you expect after rollout.
Tools to explore
Sources
Official vendor pages consulted for this analysis in October 2026. Plans, limits and features change: check the vendor’s page before you buy.
- Lindy: official site lindy.ai
- Lindy: pricing lindy.ai
- Gumloop: official site gumloop.com
- Gumloop: pricing gumloop.com
- Relevance AI: official site relevanceai.com
- Relevance AI: pricing relevanceai.com