Gumloop vs Relevance AI
Relevance AI scores 8.1 to Gumloop's 7.3 among the AI agent builders we rate, and is the better pick for 2 of the 4 kinds of buyer below.
Relevance AI wins, 8.1 to 7.3
Relevance AI lets you branch a workflow with conditional logic; Gumloop has no branching feature in its workflow builder. Relevance AI is also cheaper to start, $29 a month against Gumloop's $37 a month. Gumloop counters with a self-hosted option on its Enterprise plan, deploying into your own VPC, which Relevance AI does not offer, and Gumloop names HIPAA compliance where Relevance AI does not.
Pick Gumloop if you need self-hosting on your own VPC and HIPAA.
Pick Relevance AI if you need conditional branching and lower monthly cost.
Best for
Who each one suits, decided on the criteria that matter to that buyer and the checked facts where the two differ.
- Branching and conditions: Relevance AI yes, Gumloop no
- App connectors: 2000 apps against 250 apps
- What agents can learn from: Gumloop Files, google_drive, notion, api, Relevance AI Files, website, google_drive, notion
- Self-hosted edition: Gumloop yes, Relevance AI no
- HIPAA: Gumloop yes, Relevance AI no
- But Relevance AI leads on ways to reach support: Email, live_chat, community, slack against Email, slack, community
How they score
Both are scored the same way, against the other AI agent builders we rate, from facts on each vendor's own pages. Relevance AI leads on 4 of 7 criteria.
Where they differ
Every point where the two vendors' published facts disagree, with a link to where each fact was read. "Not published" means the vendor does not say either way.
Published by only one of them
Where they match (8)
Pricing, plan by plan
Every plan each vendor publishes, monthly and yearly where both are offered.
Gumloop
Relevance AI
Relevance AI does not publish a plan list we could read.
Pros and cons
From each tool's full review, written from the same checked facts.
Gumloop
- Canvas-based visual workflow builder makes it easy to design complex multi-step AI processes without writing code.
- Supports multiple AI models including OpenAI, Anthropic, Google Gemini, and DeepSeek, giving teams flexibility in model choice.
- Includes code sandboxes, which is rare for no-code tools and allows teams to extend functionality beyond standard nodes.
- Offers a range of trigger options including webhooks, scheduled runs, email, Slack, form submissions, and an API.
- Built-in conditional logic and a workflow queuing system with error handling and policy application.
- Backed by a $50M Series B led by Benchmark, signaling strong investor confidence and likely continued development.
- Positioned as an AI agent orchestrator rather than a simple task automator, targeting a more sophisticated automation use case.
- Total number of native integrations is not publicly disclosed, making it hard to evaluate compatibility before committing.
- MCP integrations are mentioned without any clear count or documentation transparency.
- The sophistication of the error handling system could not be independently verified from public information.
- This review is based entirely on research rather than hands-on testing, so real-world performance remains unconfirmed.
- As a two-year-old company, Gumloop is still early-stage and may carry product maturity and stability risks.
- The vague integration list around Salesforce, Slack, BigQuery, and Gmail lacks detail on depth or reliability of those connections.
Relevance AI
- Supports building teams of specialist AI agents rather than one general-purpose bot, allowing each agent to be optimized for its specific task.
- Multi-model LLM router automatically benchmarks and routes tasks to the cheapest model that meets quality requirements, reducing costs.
- Over 1,000 app integrations available including Salesforce, HubSpot, Slack, and Google Workspace.
- Enterprise-grade features including role-based access control, SSO, and audit logs make it suitable for serious business deployments.
- No-code visual agent builder allows non-technical users to build, wire, and deploy agents without writing code.
- Dedicated deployment team helps customers go live, reducing time-to-value for mid-market and enterprise buyers.
- Architecturally distinct from most automation platforms with an agent-first workflow structure built for revenue-facing teams.
- Not designed for hobbyists or personal automation use cases — the platform is explicitly enterprise and mid-market focused.
- The ambitious multi-agent architecture may introduce complexity that smaller teams or simpler use cases don't need.
- Pricing and feature depth suggest a significant investment, likely inaccessible to startups or budget-constrained buyers.
- The platform's novelty means fewer established best practices or community resources compared to more mature tools.
- Agent-first structure may require a shift in how teams think about automation, creating an adoption learning curve.
Gumloop vs Relevance AI: common questions
Which is better, Gumloop or Relevance AI?
Relevance AI scores 8.1 and Gumloop 7.3 out of 10 among the AI agent builders we rate. Relevance AI is ahead on building workflows, apps it connects to, reliability and control and support. Gumloop is ahead on pricing and hosting and security.
Is Gumloop or Relevance AI cheaper?
Gumloop's cheapest paid plan is $37/mo — Pro and Relevance AI's is $29/mo — Pro. Compare what each plan includes below before going on price alone.
Do Gumloop and Relevance AI have a free plan?
Neither has a free plan.
What can Gumloop do that Relevance AI cannot?
On the facts both vendors publish: self-hosted edition and hIPAA.
What can Relevance AI do that Gumloop cannot?
On the facts both vendors publish: branching and conditions.
