I tested Relevance AI alongside 15+ automation platforms to identify the top 10 alternatives for 2025. Here's what stood out for teams prioritizing ease of use, cost predictability, or hosting control.
Top 10 Relevance AI alternatives: At a glance
Check out the top 10 alternatives to find who they’re best for, their starting price, and the edge they have over Relevance AI. Here’s a quick summary of my findings:
Why I looked for Relevance AI alternatives
Relevance AI is an automation tool that helps teams build and run AI agents. It combines workflow orchestration with a credit-based pricing system where each action or model call consumes credits.
It’s a capable platform, but here’s why I looked for its alternatives:
- Pricing: Costs can increase quickly because both action and storage consume credits. I found it difficult to forecast monthly spend, given the uncertain workflow volumes, expensive credits, and top-ups to add extra actions.
- Lack of deployment flexibility: The tool works as a managed service, but some companies prefer to self-host, deploy in a virtual private cloud, or run on-prem for security and control.
- Limited prebuilt AI agents: Relevance AI only offers a handful of prebuilt agents. I wanted to create an invoice chasing agent and had to create it myself from scratch. It was time-consuming and took a lot of brainstorming effort.
So, let me break down the alternatives in detail to help you understand how they address these shortcomings.
1. Lindy: Best no-code AI agent tool to automate everyday tasks
Lindy is an AI automation platform that combines AI agents with a visual workflow builder. It works well for teams that want to automate processes across sales, support, and operations without managing open-source infrastructure.
Why it beats Relevance AI
- Provides ready-to-use templates that reduce setup time.
- Offers SOC 2, HIPAA, and PIPEDA compliance for regulated teams.
- A credit-based pricing system that covers phone minutes, actions, and model calls with clear documentation.
Pros
- Drag-and-drop workflow builder for non-technical users
- 4,000+ integrations, including popular business apps like Google Docs, Notion, Airtable, HubSpot, and more.
- Supports human-in-the-loop approvals for better control.
- AI agents work across multiple channels and can handle calls, emails, and chats.
Cons
- Complex workflows may need some time to set up.
Pricing
- Free: Up to 40 monthly tasks
- Pro: $49.99/month, up to 1,500 tasks
- Business: $199.99/month, unlimited calling
- Enterprise: Custom
Bottom line
Lindy suits teams that want to build custom AI agents for their workflows with security and compliance.
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2. n8n: Best for workflow automation with self-hosting
n8n is an open-source workflow automation tool for technical teams. It offers both a managed cloud service and a free self-hosted option, giving users complete control over their infrastructure.
Why it beats Relevance AI
- Provides a self-hosting option for companies that require data control.
- Uses execution-based billing, which can be easier to forecast than credits.
- Supports custom code and JavaScript expressions for flexibility.
Pros
- Active open-source community with hundreds of ready nodes.
- Extensible through community and partner nodes.
- Affordable entry-level cloud plans.
Cons
- Integration catalog is smaller than Zapier or Make.
- Less intuitive UI for non-technical teams.
Pricing
- Free to self-host
- Cloud-hosted plans from $24/month, billed monthly
Bottom line
n8n fits teams that want affordable automation with control over deployment.
3. Flowise: Best open-source visual builder for RAG
Flowise is an open-source platform that lets teams design and deploy AI agents and retrieval-augmented generation (RAG) pipelines with a drag-and-drop builder. It supports tracing, evaluations, and flexible integrations, making it ideal for developer teams.
Why it beats Relevance AI
- Runs fully open-source, giving companies more deployment flexibility.
- Includes built-in tracing and evaluation tools for monitoring workflows.
- Supports LiteLLM proxy, which simplifies access to multiple models.
Pros
- Visual interface that speeds up prototyping.
- Active GitHub community with frequent updates.
- Compatible with the MCP client and server.
Cons
- Cloud plans require configuration effort.
- Expensive to self-host.
Pricing
- Free to self-host, cloud-hosted free plan comes with 100 monthly predictions
- Paid plans from $35/month
Bottom line
Flowise works best for teams that want an open-source canvas with optional cloud support.
4. StackAI: Best for enterprise agentic RAG
StackAI is for companies that need retrieval-augmented generation (RAG) with strong governance. It supports knowledge bases, data loaders, and agent workflows while offering enterprise-grade compliance.
Why it beats Relevance AI
- Provides SOC 2, HIPAA, and GDPR compliance.
- Offers deployment options like on-prem and VPC.
- Tailors features for regulated industries and enterprise IT teams.
Pros
- Centralized knowledge base management.
- Enterprise controls, including SSO and audit logs.
- Support for large-scale deployments.
Cons
- Only has two plans, free and enterprise.
- No pricing details for the enterprise plan.
Pricing
- Free plan: 500 runs per month
- Enterprise: Custom pricing
Bottom line
StackAI is a strong fit for enterprises that need compliance and deployment flexibility.
5. BuildShip: Best for low-cost prototyping
BuildShip is an AI-focused automation platform that uses a credit-based model tied to runtime. It helps startups and small teams experiment with automation without high upfront costs.
Why it beats Relevance AI
- Offers transparent, per-second credit metering for each node.
- Provides a low-cost entry compared to Relevance AI.
- Supports team features like version control and shared libraries.
Pros
- Affordable for early-stage teams.
- Clear usage metrics that are easy to monitor.
- Add-ons like custom domains and no cold start.
Cons
- Newer ecosystem with fewer integrations.
- Limited advanced enterprise features.
Pricing
- Free: 3000 monthly credits
- Paid plans from $25/month, billed monthly
Bottom line
BuildShip is ideal for teams that want affordable prototyping and straightforward metering.
6. Langflow: Best for OSS agents with MCP support
Langflow is an open-source framework for building and deploying AI agents. It includes native support for the Model Context Protocol (MCP) and comes with ready-made agent components.
Why it beats Relevance AI
- Provides built-in MCP client and server support.
- Includes agent memory out of the box.
- Lets teams self-host without relying on a managed vendor.
Pros
- Developer-friendly with a flexible component library.
- Compatible with major LLMs and vector databases.
- An active contributor community keeps the project updated.
Cons
- No official hosted version or pricing.
- Limited enterprise-ready compliance features.
Pricing
- Free to use as open source
Bottom line
Langflow works well for technical teams that want AI agents with MCP support.
7. Make: Best for visual iPaaS with agent features
Make is a workflow automation platform that connects with more than 2,500 apps through a visual drag-and-drop builder. It also recently introduced AI Agents in beta, bringing them into its automation scenarios.
Why it beats Relevance AI
- Provides affordable, operations-based pricing that scales flexibly.
- Now supports AI agents inside workflows.
Pros
- Features like branching, scheduling, and error handling.
- Strong documentation and a large user community.
- Affordable starting pricing.
Cons
- Operation-based billing can increase with complex workflows.
Pricing
- Free: 1,000 credits/month
- Paid plans from $10.59/month, billed monthly
Bottom line
Make is a good choice for teams that need app integrations and visual automation.
8. Zapier: Best for simple automations with the largest integration library
Zapier is an automation platform that has more than 8,000 app integrations. It has recently added Zapier Agents, giving teams AI capabilities alongside its established quick automations.
Why it beats Relevance AI
- Provides the highest number of app integrations.
- Offers separate pricing for Agents, so users can test without upgrading core plans.
- Supports tools like Tables and Interfaces for complex automation.
Pros
- Reliable infrastructure with years of usage at scale.
- No-code workflow builder that suits non-technical users.
Cons
- Becomes costly as the task volume increases.
- Advanced features often require higher-tier plans.
Pricing
- Free plan with 2-step Zaps
- Paid plans from $29.99/month, billed monthly
Bottom line
Zapier fits teams that need quick automations and a lot of app integrations for their workflows with optional agent support.
9. Typebot: Best for conversational forms and chat
Typebot is a low-code platform for building chat-based forms and support flows. It integrates with popular website builders and supports WhatsApp on higher tiers, making it attractive for customer-facing use cases.
Why it beats Relevance AI
- Chat-first automation rather than broad agent workflows.
- Simple pricing model based on monthly chats.
- Integrates with web builders and messaging platforms.
Pros
- Easy to embed in WordPress, Webflow, or Notion.
- Native WhatsApp integration on the Pro plan.
- Live chat handoff through integrations like Chatwoot.
Cons
- Not designed for back-office or multi-agent workflows.
- Chat volume caps may require upgrades as usage grows.
Pricing
- Free: 200 chats/month
- Paid plans from $39/month, billed monthly
Bottom line
Typebot is for teams whose priority is capturing leads and running chat-based support without a technical setup.
10. ZenML: Best for ML and LLM pipelines with governance
ZenML is an open-source MLOps and LLMOps framework that helps teams build, track, and govern machine learning and language model pipelines. Its Pro tier adds enterprise security and compliance features.
Why it beats Relevance AI
- Reproducible pipelines rather than just workflow automation.
- Provides SOC 2 and ISO 27001 compliance on Pro.
- Integrates with a wide range of ML and LLM tools.
Pros
- 50+ integrations across clouds, orchestrators, and feature stores.
- Designed for both ML and LLM projects.
- Open-source foundation with a strong contributor base.
Cons
- Requires a sales call for the managed Pro plan.
- Doesn’t replace no-code automation tools.
Pricing
- Community edition: Open-source and free
- ZenML Pro: Managed plan with custom pricing
Bottom line
ZenML is for engineering teams that need structured ML and LLM pipelines with compliance.
How I tested these alternatives
I compared these platforms on the criteria that matter the most for the users. Here’s what I looked for:
- Agent capabilities: Can the tool handle reasoning, memory, and tool use? This matters because many workflows need more than simple triggers and actions.
- Automation workflows: Does it offer a wide app catalog, reliable triggers, and error handling? This determines whether it can support cross-team use.
- Governance and deployment: Are SOC 2, HIPAA, or on-prem options available? Enterprise teams need proof of compliance.
- Cost predictability: Is pricing clear and easy to forecast at scale? Buyers want to avoid hidden overages.
- Developer ergonomics: Does it support code steps, SDKs, or APIs?
I reviewed each tool’s official documentation, pricing pages, and update notes, then compared them against these criteria. I started with around 15 tools, but these 10 stood out in my process.
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Which Relevance AI alternative should you choose?
The best Relevance AI alternative for you depends on your team’s needs and whether you prioritize compliance, integrations, affordability, or self-hosting. Here’s how to decide:
Choose Lindy if you
- Want AI agents, a drag-and-drop workflow builder, and ready-to-use templates for sales, support, or admin tasks.
- Need SOC 2, HIPAA, or PIPEDA compliance.
- Have voice workflows and need AI voice agents for calling tasks.
Choose alternatives
- Pick n8n, Flowise, Langflow, or ZenML when you need self-hosting or open-source control.
- Go with Make or Zapier for the widest app catalogs and iPaaS features.
- Get StackAI if compliance and enterprise deployment are priorities.
- Typebot works for conversational funnels and WhatsApp chat.
- Choose BuildShip for affordable prototyping.
Stick with Relevance AI if you
- Already run workloads in Relevance AI, and its pricing model and features fit your team’s needs.
Final verdict
Relevance AI automates your tasks and helps you save time and effort. However, its credit-based pricing, overages for credits and actions, and limited deployment options are a let down.
Lindy gives you the best balance of compliance, ease-of-use, and workflow automation with AI agents. Make and Zapier offer good integration libraries, while n8n, Flowise, and Langflow give developers complete control through self-hosting.
StackAI and ZenML fit best in regulated industries. The right choice depends on whether your priority is compliance, integrations, or affordability.
How Lindy can be the perfect Relevance AI alternative
Relevance AI offers limited templates, with only the Team plan offering calling and meeting agents. Lindy, on the other hand, lets you create custom AI agents that help your team with everyday workflows like emails, cold calling, meetings, and sales.
Lindy stands out among Relevance alternatives for three reasons:
- Drag-and-drop workflow builder for non-coders: You don’t need any technical skills to build workflows with Lindy. It offers a drag-and-drop visual workflow builder.
- Create AI agents for your use cases: You can give them instructions in everyday language and automate repetitive tasks. For instance, create an assistant to find leads from websites and sources like People Data Labs. Create another agent that sends emails to each lead and schedules meetings with members of your sales team.
- Free to start, affordable to scale: Build your first few automations with Lindy’s free version and get up to 40 tasks. With the Pro plan, you can automate up to 1,500 tasks, which offers much more value than Lindy’s competitors.
Frequently asked questions
What is the Relevance platform used for?
The Relevance platform is used to build and run AI agents that automate workflows. It’s a SaaS automation tool where each action or model call consumes an action and AI credits.
What are the Relevance AI missing features?
Self-hosting options, flexible deployment in private clouds, and predictable pricing are some of the missing features in Relevance AI. Many teams also want broader integrations and more AI agents.
Relevance AI vs n8n: How do they compare?
Relevance AI is a SaaS-based automation tool with credit-based pricing, while n8n offers self-hosting and execution-based pricing. Teams choose Relevance AI for convenience and n8n for control and customizability.
Which Relevance AI competitor is best for enterprises?
Lindy, StackAI, and n8n are among the top Relevance AI competitors for enterprises. StackAI offers comprehensive compliance options, while Lindy provides SOC 2 and HIPAA compliance. n8n is SOC 2 certified, catering to teams prioritizing security and deployment flexibility.
Which tool offers the most integrations?
Zapier offers the most integrations and connects with 8,000+ apps. Lindy supports integrations with thousands of apps via native connectors and third-party services like Zapier and Make, giving users workflow flexibility.
What are the best free Relevance AI alternatives?
From my testing experience, Lindy is the best Relevance AI alternative for most teams as it’s easy to use and has a drag-and-drop workflow builder for non-technical users. Other options include Make and Zapier with good app coverage, while n8n and Flowise suit teams that want open-source control.
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