Gumloop vs Relevance AI

A side-by-side look at Gumloop and Relevance AI — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

GumloopRelevance AI
SummaryVisual AI agent and workflow builder for teams, letting non-engineers automate work with AI agents across integrations.Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops.
PricingFreemiumFreemium
CategoryAI AgentsAI Agents
PlatformsWebWeb, API
Key features
  • Visual AI Agent Builder
  • Unlimited Seats on Pro
  • 20,000 Monthly Credits (Pro)
  • Integration Library
  • No-code/low-code agent builder
  • Multi-model routing (Claude, GPT, Gemini and others) by cost/performance
  • Multi-agent orchestration into coordinated workforces
  • Evaluation framework tracking live pass rates and drift
  • Real-time tracing, audit logs, human-in-the-loop approvals and cost visibility
  • 2,000+ integrations (Salesforce, HubSpot, Gmail, Slack, Databricks, Snowflake)
Pros
  • Confirmed self-serve pricing (Pro $37/month) with unlimited seats, not per-user
  • 14-day free trial on Pro to test before committing
  • Has a public 'Gumloop Creators' affiliate program (20% of referred subscription revenue for 1 year)
  • Core identity is genuinely an agent/workflow-building platform, not a broader workspace with agents bolted on
  • No-code/low-code builder with multi-model routing (Claude, GPT, Gemini) instead of vendor lock-in
  • Genuine free tier (200 Actions/month) — rare among enterprise-grade agent platforms
  • Real production governance: tracing, audit logs, human-in-the-loop approval and cost visibility
  • 2,000+ integrations cover most existing sales, CS and ops stacks
  • Enterprise trust signals — customers include Canva, KPMG, Databricks, Autodesk and Confluent
Cons
  • 20,000 monthly credits on Pro is a usage cap that heavy users could exhaust
  • Newer, less established brand than larger workflow-automation platforms
  • September 2025 pricing overhaul split billing into Actions + Vendor Credits, which reviewers say makes real cost harder to predict at scale
  • Action overages and retry billing have caught some teams off guard on their first high-volume billing cycle
  • Shared workspace model makes credential isolation difficult for agencies managing multiple client environments
  • Some users report slow or impersonal customer support response times
  • Real learning curve to build and maintain reliable multi-step agents

Which one should you choose?

Gumloop

Best for: Teams that want a self-serve, no-code way to build and run AI agents without engineering involvement.

Relevance AI

Best for: Sales, CS, marketing and ops teams that want multi-model, governed AI agents rather than a single-LLM chatbot.

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Read the full Gumloop review

Gumloop is a visual builder for running AI agents and workflows with a team, letting non-technical users automate work across integrations without writing code. It's positioned as a self-serve agent platform for teams that want to build and run their own AI agents rather than relying on IT or engineering to build automations for them.

Read the full Relevance AI review

Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), a paid Pro tier, a paid Team tier and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.