VolvenixRelevance AI vs Make
AI-enhanced independent comparison — features, pros, cons, pricing and rankings.
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| Dimension | Relevance AI | Make |
|---|---|---|
| Accuracy & Reliability | ||
| Ease of Use | ||
| Features & Capability | ||
| Value for Money | ||
| Performance & Speed | ||
| Popularity & Adoption |
Who each tool serves best — and when to pick the other one.
Operations, product, and data teams seeking to automate complex workflows visually without coding.
- You want to automate multi-step workflows without writing code.
- Your team needs to integrate and orchestrate multiple datasets visually.
- You require a modular platform to build custom automation agents.
Organizations requiring extensive API access, advanced security compliance, or large-scale enterprise features.
- You need a public API for deep integration and custom development.
- Free-tier limits are a blocker for your automation scale and usage.
- You require enterprise-grade security features like SSO and MFA.
Visual no-code multi-step workflow automation with modular agent building.
Teams in operations, marketing, sales, or IT who need to automate complex workflows visually without coding.
- You need to automate complex workflows involving multiple apps without coding
- You want a visual interface to design and monitor your automations
- Your team requires integrations across marketing, sales, IT, and operations tools
Users seeking simple one-step automations or those unwilling to invest time learning a visual builder.
- You need only simple, single-step automations with minimal setup
- Free-tier limits are a blocker for your automation volume or team size
- You require extensive enterprise security features like SSO or MFA
The ability to visually design and control multi-step workflows without coding.
A canonical comparison across capabilities common to this category. Vendor-specific extras appear below in "Highlighted Features".
| Capability | Relevance AI | Make |
|---|---|---|
|
Free Tier Available
Usable without payment (with usage limits)
|
✓ | ✓ |
| Feature | Relevance AI | Make |
|---|---|---|
| Visual workflow builder | Drag-and-drop interface to create multi-step workflows | Drag-and-drop interface to create workflows |
Each tool's marketing-listed features. Where a feature appears under one tool but not the other, it usually reflects how the vendor describes their product — not a definitive capability gap.
- Modular Agent Builder — Create reusable automation agents for complex tasks
- Data Integration — Connect and orchestrate multiple datasets within workflows
- Team collaboration — Shared workspace and collaboration tools
- Analytics Dashboard — Monitor workflow performance and usage metrics
- Multi-Step Automation — Supports complex workflows with multiple steps
- App Integrations — Connects to hundreds of apps and services
- Advanced Scheduling — Set triggers and schedules for workflows
- Error Handling — Manage and retry failed workflow steps
- Intuitive visual no-code workflow builder
- Modular and reusable agent components
- Supports integration of multiple datasets
- Suitable for non-technical users
- Flexible automation for operations and product teams
- Visual drag-and-drop workflow builder
- Supports complex multi-step automations
- Extensive app integrations
- Good monitoring and observability tools
- Flexible freemium pricing
- No public API for custom integrations
- Lacks enterprise security features like SSO and MFA
- Limited mobile app or offline support
- Steep learning curve for new users
- Some advanced features require paid plans
- No native mobile app for workflow management
- Automate repetitive operational tasks
- Integrate and orchestrate data workflows
- Build custom multi-step automation agents
- Streamline product team processes
- Visualize and monitor workflow execution
- Automate marketing campaign workflows
- Streamline sales lead management
- Integrate IT service operations
- Synchronize data across cloud apps
- Monitor and alert on workflow failures
No third-party integrations confirmed.
Where each tool runs — web, mobile, desktop, browser extension, API.
No platforms confirmed.
Natural languages each tool generates and understands. Primary languages are listed first.
What each tool can accept (input) and produce (output) — text, image, audio, video, code.
Offers a free tier with basic features and paid plans for advanced capabilities and team collaboration.
-
Free
Free -
Pro
popular
$20.00/mo -
Team
$30.00/mo
Free tier available with limits; paid plans unlock higher usage and advanced features.
-
Free
Free -
Core
popular
$9.00/mo -
Pro
$29.00/mo
Regulatory frameworks each tool claims compliance with (HIPAA, SOC 2, GDPR, etc.).
Vendor-published numbers each tool highlights — usage scale, breadth, and operational stats. Different tools track different metrics, so direct row-by-row comparison usually isn't meaningful.
- Workflow Steps Supports complex multi-step workflows
- User Access Individual and team plans available
- Operations per month Up to 100,000+
- Active workflows Unlimited on paid plans
Who each tool is positioned for — primary audience first.
No specific audience listed.
How each tool is classified in the Volvenix catalog.
These vocabulary domains are managed in our catalog but not yet exposed at the tool level. We're tracking them for future expansion of this comparison.
- Encryption Types — AES-256, ChaCha20, RSA-2048, and similar at-rest/in-transit cipher families.
- Encryption Contexts — where encryption is applied (data at rest, in transit, end-to-end).
- Plan-tier Model Mapping — which AI models are available on which pricing tier (currently only the model list is tracked, not the per-plan availability).
- What is this tool?
- Relevance AI is a no-code platform for designing and automating multi-step workflows using visual AI agents.
- How much does it cost?
- It offers a free tier with basic features and paid plans starting at $20/month for advanced capabilities.
- Does it have a free plan?
- Yes, Relevance AI provides a free plan suitable for individuals and basic usage.
- What integrations does it support?
- It supports integration of multiple datasets but does not have a public API for external integrations.
- Who is it best for?
- Operations, product, and data teams looking to automate workflows visually without coding.
- What is this tool?
- Make is a visual automation platform that connects apps into multi-step workflows without coding.
- How much does it cost?
- Make offers a free tier with limits and paid plans starting at $9/month for higher usage and features.
- Does it have a free plan?
- Yes, Make provides a free plan with 1000 operations per month and 3 active workflows.
- What integrations does it support?
- Make supports hundreds of app integrations including popular marketing, sales, and IT tools.
- Who is it best for?
- It is best for teams in operations, marketing, sales, and IT needing customizable workflow automation.
| Info | Relevance AI | Make |
|---|---|---|
| Pricing | Freemium | Freemium |
| Category | AI Agents & Automation | AI Agents & Automation |
| Deployment | Cloud | Cloud |
| Learning Curve | — | Intermediate |
| Free Plan | ✓ | ✓ |
| AI Agent | ✗ | ✓ |
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LevityMake and Relevance AI both have an overall score of 5.5/10 and offer freemium pricing models. Make is primarily focused on workflow automation and integration, enabling users to connect various apps and automate tasks without coding. Relevance AI, on the other hand, specializes in AI-driven data enrichment and search capabilities, targeting use cases involving natural language processing and semantic search. While Make emphasizes process automation across multiple platforms, Relevance AI is geared towards enhancing data relevance and insights through machine learning.
ⓘ How Volvenix scores work
Scores are computed by Volvenix — not supplied by the vendors, and not third-party benchmark results. Each 0–10 dimension (Overall, Features, Usability, Support, Pricing) is a directional estimate aggregated from catalog signals — editorial cataloguing, content depth, engagement, and provider-reputation indicators — so treat them as a starting point, not a lab result.
Confidence reflects how complete the underlying data is for both tools; lower confidence means fewer signals were available, not a worse tool. We never accept payment for rankings or scores. More about how Volvenix works →