Relevance AI
by Relevance AI Pty Ltd
No-code AI agent builder for business tasks with multi-step workflows, knowledge base integration, and team collaboration. Relevance AI is a no-code AI agent builder founded in 2020 in Sydney, Australia. As of April 2026, the platform reports more than 100,000 users building AI agents for sales prospecting, lead research, content creation, data analysis, customer support, and operations tasks.
Performance Scores
2 rankings evaluated
Score range: 7.5 – 7.7
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#5Best LLM App Platforms for Building AI Agents in 2026
Score: 7.5 · Best for: Revenue, marketing, and operations teams that want prebuilt task-specific agents with minimal engineering effort.
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#7Best AI Agent Builders for Non-Developers in 2026
Score: 7.7 · Best for: Building specialized AI workforces with reusable agent skills
Key Facts
| Attribute | Value | As of | Source |
|---|---|---|---|
| Founded | 2020 | Apr 2026 | Relevance AI |
| Users | 100,000+ users | Apr 2026 | Relevance AI |
| Free Tier | Free: 100 credits/day | Apr 2026 | Relevance AI |
| Pro Plan | $19/month (Pro, 2,500 credits/mo) | Apr 2026 | Relevance AI |
| Business Plan | $199/month (Business, 10,000 credits/mo) | Apr 2026 | Relevance AI |
| LLM Support | Supports GPT-4, Claude, and Gemini | Apr 2026 | Relevance AI |
| Agent Capabilities | Multi-step AI agents with tool integration | Apr 2026 | Relevance AI |
| Knowledge Base | Upload documents for agent knowledge base | Apr 2026 | Relevance AI |
Strengths
- ●Prebuilt agent library accelerates standard sales and ops use cases
- ●Visual builder accessible to non-engineering teams
- ●Managed runtime with usage tracking and team controls
- ●Team-of-agents orchestration
- ●Reusable tool libraries
- ●Vector search and RAG built in
- ●Sydney-based with strong APAC presence
Limitations
- ●Customisation ceiling is lower than code-first frameworks
- ●Vendor lock-in — agents are not portable to other runtimes
- ●Pricing scales with run volume and can become unpredictable at high usage
- ●Credit pricing can be unpredictable on long workflows
- ●Limited free tier compared to competitors
- ●Documentation depth varies across capabilities
Based on evaluations in 2 rankings: Best LLM App Platforms for Building AI Agents in 2026, Best AI Agent Builders for Non-Developers in 2026
About Relevance AI
Relevance AI is a no-code AI agent builder founded in 2020 in Sydney, Australia. As of April 2026, the platform reports more than 100,000 users building AI agents for sales prospecting, lead research, content creation, data analysis, customer support, and operations tasks.
Relevance AI enables users to build AI agents that perform multi-step business tasks. Each agent can be configured with a goal, a set of tools (web search, data extraction, document analysis, API calls, spreadsheet operations), and a knowledge base of uploaded documents. Agents use large language models — including GPT-4, Claude, and Gemini — to reason through multi-step tasks, make decisions, and produce structured outputs. Unlike simple chatbots that respond to single prompts, Relevance AI agents execute sequential tasks: research a prospect on LinkedIn, enrich the data with company information, draft a personalized outreach email, and log the result in a spreadsheet.
Relevance AI uses a credit-based pricing model. The Free plan provides 100 credits per day with basic agent features. The Pro plan at $19/month includes 2,500 credits per month, access to advanced LLMs, and priority support. The Business plan at $199/month provides 10,000 credits per month, team collaboration, custom branding, and API access. Enterprise pricing is available for organizations needing higher volumes, SSO, and dedicated infrastructure. Credit consumption varies by task complexity: a simple web search uses 1-2 credits, while a multi-step research workflow with document analysis may consume 10-20 credits.
Relevance AI integrates with Zapier, Make, Slack, Google Sheets, HubSpot, Salesforce, Gmail, and Notion. The REST API enables embedding AI agents into custom applications and workflows.
Integrations (8)
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AI Agent PlatformsSee How It Ranks
Best AI Agent Builders for Non-Developers in 2026
A ranked list of the best AI agent builders for non-developers in 2026. This ranking evaluates platforms that let operations, marketing, and customer-success teams construct multi-step AI agents without writing production code. The shortlist includes Lindy, Gumloop, Relay.app, Relevance AI, and Dust. Tools were evaluated on visual agent design, model and tool integration, observability and debugging, pricing accessibility, and documentation depth. Stack AI and Magic Loops were considered but excluded where the platform was not present in the database at evaluation time.
Best LLM App Platforms for Building AI Agents in 2026
A ranked list of platforms for building LLM-powered applications and AI agents in 2026. This ranking covers tools that combine prompt engineering, model orchestration, retrieval-augmented generation, tool calling, and deployment into a single workflow for product and engineering teams. Entries span low-code agent builders (Gumloop, Lindy, Relevance AI), code-first orchestration (CrewAI), open-source visual builders (Langflow), enterprise prompt engineering platforms (Vellum), and team-oriented agent suites (Dust). Scoring reflects developer experience, model and integration breadth, pricing, governance posture, and runtime reliability.
Questions About Relevance AI
What are the best AI-native automation tools in 2026?
The leading AI-native automation tools in 2026 are Lindy and Relevance AI (agent builders), Gumloop (visual agent workflows), Relay.app (human-in-the-loop AI workflows), Bardeen (browser AI agents), and CrewAI (multi-agent code framework). "AI-native" here means the LLM is the orchestrator, not a step inside a traditional workflow.
Best AI app builders for non-developers 2026
For non-developers building AI apps in 2026, the leading low-code platforms are Bardeen, Lindy, Gumloop, Relevance AI, and n8n on the workflow side, with Retool and Supabase as the closest "no-code adjacent" options for builders willing to write a small amount of SQL or JavaScript.
Can you build AI agents in n8n?
Yes. As of May 2026, n8n ships an AI Agent node that wraps LangChain tools, memory, and vector stores, allowing visual or code-based construction of ReAct-style agents with branching, retries, and human-in-the-loop steps. The free Community Edition supports the AI Agent node with no usage cap when self-hosted.
What are the best AI agent platforms for customer support in 2026?
The best AI agent platforms for customer support in 2026 are Lindy, Gumloop, Relevance AI, Intercom Fin, and CrewAI. Lindy and Gumloop offer no-code agent building, Relevance AI specializes in multi-agent enterprise workflows, Intercom Fin provides a turnkey support agent on the Intercom platform, and CrewAI suits Python-engineered support automation.
Learn More
Building AI Agents with n8n in 2026: Tools, RAG, and Deployment
n8n is a fair-code workflow engine that ships a native AI Agent node wrapping LangChain tools, memory, and vector stores. This tutorial covers agent design patterns, retrieval-augmented generation with Pinecone or pgvector, deployment options (Cloud vs self-hosted), and operational guardrails as of May 2026.
CrewAI vs Langflow 2026: Code-First vs Visual AI Agent Frameworks
CrewAI and Langflow are open-source AI agent frameworks with different audiences. CrewAI (founded 2023) is a Python framework for code-first multi-agent orchestration. Langflow (DataStax, 2023) is a visual node-based builder for LangChain applications. This 2026 comparison covers programming models, tool ecosystems, deployment, and pricing.