Relevance AI
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
3 rankings evaluated
Score range: 7.1 – 7.5
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#3Best AI Agent Builders for Non-Developers in 2026
Score: 7.2 · Best for: Building specialized AI workforces with reusable agent skills
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#5Most Customizable AI Agent Platforms 2026
Score: 7.1 · Best for: Business teams customizing agent behaviour without an engineering lift
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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.
Key Facts
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| Relevance AI pricing (July 2026) | Relevance AI pricing (as of September 2026): the public /pricing page shows only an Enterprise "Talk to sales" plan. The vendor's docs say the Free plan is retired for new signups and existing accounts; Free users must upgrade to Pro or Team to keep using the product. Billing uses the Actions + Vendor Credits model the vendor adopted in September 2025 (an Action is counted each time an Agent runs a Tool; Vendor Credits cover LLM and tool costs at wholesale, with no markup). Pro costs $29/month billed monthly or $19/month billed annually (2,500 Actions and $20 of Vendor Credits a month); Team costs $349/month billed monthly or $234/month billed annually (7,000 Actions and $70 of Vendor Credits a month). Extra Actions cost $80 per 1,000 and extra Vendor Credits $20 per 10,000. Enterprise is custom. | Sep 2026 | Relevance AI docs (pricing) |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Founded | 2020 | Apr 2026 | Relevance AI |
| Users | As of July 2026, the vendor cites "thousands of teams" rather than a user count; its May 2025 Series B post reported 40,000 agents created in January 2025 alone. | Jul 2026 | Relevance AI blog (Series B announcement) and relevanceai.com homepage |
| Free Tier | Free: 200 Actions/month plus one-time 1,000 Vendor Credits (as of July 2026) | Jul 2026 | Relevance AI docs — Pricing |
| Pro Plan | $29/month (Pro, 2,500 Actions/month plus $20 Vendor Credits/month; $19/month billed annually) as of July 2026 | Jul 2026 | Relevance AI docs — Pricing |
| Business Plan | Business tier discontinued in the September 2025 repricing; nearest current tier is Team at $349/month ($234/month billed annually, 7,000 Actions/month) as of July 2026 | Jul 2026 | Relevance AI docs — Pricing and packaging changes |
| LLM Support | Supports OpenAI GPT, Anthropic Claude, Google Gemini, Zhipu GLM, and Moonshot Kimi model families (homepage model picker shows GPT-5.5, GPT-5.4 Mini, Claude Opus 4.8 / Sonnet 5 / Haiku 4.5, Gemini 3.1 Pro, Gemini 3 Flash, GLM-5.2, and Kimi K2.6 as of July 2026) | Jul 2026 | Relevance AI homepage |
| Agent Capabilities | Multi-step AI agents with tool integration | Jul 2026 | Relevance AI homepage |
| Knowledge Base | Upload documents for agent knowledge base | Jul 2026 | Relevance AI docs — Knowledge |
Strengths
- ●Team-of-agents orchestration
- ●Reusable tool libraries
- ●Vector search and RAG built in
- ●Sydney-based with strong APAC presence
- ●Python steps with arbitrary PyPI installs, configurable CPU, memory and GPU, up to four hours
- ●Model choice across Anthropic, OpenAI, Azure, Gemini and OpenRouter, with fallbacks
- ●Bidirectional MCP plus a Claude Code plugin
- ●Agents, escalation rules and decision edges are configurable in natural language
- ●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
Limitations
- ●Credit pricing can be unpredictable on long workflows
- ●No free plan: the docs state "The Free plan is retired for new signups and existing accounts" (relevanceai.com/docs/get-started/pricing.md, read 29 September 2026)
- ●Documentation depth varies across capabilities
- ●The wider connector catalogue is supplied through Pipedream rather than built natively
- ●JavaScript and TypeScript SDK only: no Python SDK and no CLI
- ●Cloud-only, with single-tenant hosting described as in progress
- ●Region is chosen at signup across US, EU and AU and cannot be changed afterwards
- ●RBAC, SSO, SCIM and audit streaming are Enterprise-gated, and RBAC is documented as still rolling out
- ●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
Based on evaluations in 3 rankings: Best AI Agent Builders for Non-Developers in 2026, Most Customizable AI Agent Platforms 2026, Best LLM App Platforms for Building AI Agents in 2026
Pricing Plans
Pro
($19.00/mo billed annually)
2,500 Actions/mo + $20 Vendor Credits/mo; $19/mo billed annually. Extra Actions $80 per 1,000.
- ✓Higher Actions + Vendor Credits allocation
- ✓BYOK on Pro
- !Price not publicly published
Team
($234.00/mo billed annually)
7,000 Actions/mo + $70 Vendor Credits/mo; 5 build users + 45 end users; $234/mo billed annually.
Enterprise
Custom (the only tier shown on /pricing)
- ✓SSO, dedicated infra, SLA
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 $29/month ($19/month billed annually) includes 2,500 Actions per month, access to advanced LLMs, and priority support. The former Business plan was discontinued in the September 2025 repricing; the current Team plan, at $349/month ($234/month billed annually), includes 7,000 Actions 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
Most Customizable AI Agent Platforms 2026
Most coverage of AI agent platforms rewards how quickly a working agent can be stood up. This ranking asks the opposite question: once it exists, how far can it be bent? What can be plugged into it, how much of the logic sits under the builder's control, and how much of that customization is reachable without an engineering team. It evaluates 8 platforms as of July 2026 on extensibility, ease of customization, customization depth, governance and deployment flexibility. It sits alongside Best AI Agent Platforms 2026, which weighs agent-building experience and autonomy more heavily, and Best LLM App Platforms 2026, which weighs evaluation and production tooling. The same platforms place differently across the three because the three ask different questions. Scores are comparable within a ranking and never across them.
Best AI Agent Builders for Non-Developers in 2026
Eight AI agent builders are ranked here for operations, marketing and customer-success teams that construct multi-step AI agents without writing production code. Gumloop scores 8.1 and ranks first, followed by Dust at 7.3, Relevance AI 7.2, Lindy 7.0, Replit Agent 6.2, Sema4.ai (Robocorp) 6.1, Trigger.dev 5.4 and Moxo 5.3, re-scored on 28 and 29 September 2026 on visual builder ergonomics, model and tool integration, observability and debugging, pricing accessibility, and documentation and templates. Relay.app, which shut down in September 2026, was removed (relay.app, read 29 September 2026), and Stack AI and Magic Loops were considered but not scored because neither was in the Automation Atlas database at evaluation time. Each figure carries its own source and retrieval date.
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; shutting down September 2026), 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 (now an IBM product, 2023) is a visual node-based builder for LangChain applications. This 2026 comparison covers programming models, tool ecosystems, deployment, and pricing.