Tool A
Make
Design, build, and automate anything visually
Tool B
Relevance AI
Build and deploy custom AI agents and workflows
Choose this if…
Make
- 1Make fits your category use case
- 2You prefer their ecosystem & integrations
Choose this if…
Relevance AI
- 1You need Multimodal
- 2You need Image Input
- 3You need Web Search
Overview
Make is a visual platform that lets you design, build, and automate workflows without coding. It connects thousands of applications to orchestrate complex operations seamlessly.
Developed by Celonis, Make was formerly known as Integromat and functions as a premier no-code workflow engine.
Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to build autonomous agents that execute multi-step operations.
Established in Sydney, Australia, Relevance AI supports multiple foundation models and complex state management features.
Features Comparison
22 totalPricing & Plans
Free plan includes 1,000 operations per month with basic features.
Core plan starts at $9/mo, Pro plan starts at $16/mo.
Free plan includes 100 credits per month to test agents.
Team plans start at $19/mo up to custom enterprise tiers.
Pros & Cons
Pros
Highly intuitive visual drag-and-drop editor
Massive catalog of native application integrations
Advanced conditional router logic pathways
Cons
Steep initial learning curve for advanced aggregations
Pros
Powerful low-code visual configuration workspace
Extensive multi-agent execution pipeline loops
Seamless dataset handling and indexing controls
Cons
Credit usage mapping can be complex to monitor closely
Use Cases
The Verdict
Make
8/22 features · ⭐4.8
Make is a visual platform that lets you design, build, and automate workflows without coding. It connects thousands of applications to orchestrate complex opera…
Relevance AI
12/22 features · ⭐4.7
Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to b…
Both Make and Relevance AI are capable AI tools serving distinct use cases. Relevance AI leads on raw feature breadth (12 vs 8), making it a stronger choice if you need maximum capability.
Frequently Asked Questions
What is the main difference between Make and Relevance AI?
Make — "Design, build, and automate anything visually" — focuses on automation-ai, productivity-ai, while Relevance AI — "Build and deploy custom AI agents and workflows" — targets automation-ai, agent-ai. The key differences lie in their feature sets and pricing models.
Is Make free to use?
Yes, Make offers a free tier. Free plan includes 1,000 operations per month with basic features.
Is Relevance AI free to use?
Yes, Relevance AI offers a free tier. Free plan includes 100 credits per month to test agents.
Which is better: Make or Relevance AI?
It depends on your use case. Make is rated ⭐4.8 and is best suited for individuals, teams, enterprise. Relevance AI is rated ⭐4.7 and is ideal for teams, developers, individuals. Use this comparison to evaluate features that matter to your workflow.
Does Make have an API?
Yes, Make provides API access for developers and integrations.
More AI Matchups
Still deciding?
Try another comparison or explore the full AI tools directory.