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Relevance AI

No-code platform for building AI agent workforces

freemiumupdated Aug 16, 2026

Relevance AI is a no-code platform from Sydney, Australia for building and deploying AI agent workforces that execute business workflows autonomously. Backed by a $24M Series B led by Bessemer Venture Partners, it offers 9,000+ integrations, a visual agent builder, a marketplace of pre-built agents, and multi-model support across OpenAI, Anthropic, and AWS Bedrock. Agents handle sales development, lead research, meeting prep, onboarding, and support workflows.

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Relevance AI takes an agentic-first approach to business automation — rather than adding AI to existing workflow tools, it positions AI agents as autonomous team members that own entire processes end-to-end. The platform provides three ways to create agents: describe what you want in plain English and let the AI build a first draft, clone a pre-built agent from the community marketplace covering common use cases like sales research and customer support, or build from scratch using the visual workflow editor. Agents connect to over 9,000 integrations including HubSpot, Salesforce, Slack, Gmail, Apollo, LinkedIn, Gong, and Smartlead, reading and writing to these systems without human intervention.

The platform structures AI adoption in four maturity levels. At Level 1, agents assist with individual tasks on demand. Level 2 introduces Autopilot where agents run scheduled workflows independently. Level 3 deploys full AI Workforces — teams of coordinated agents triggered by events and signals across inbound, outbound, onboarding, and expansion workflows. Level 4 is self-driving, where agent workforces optimize themselves, build new agents, and run their own tests while humans handle strategy. The SuperGTM product specifically targets go-to-market teams, joining calls, sitting in calendars, and integrating with CRMs so sales reps can delegate tasks from day one without changing their workflow.

Pricing separates Actions (what agents do) from Vendor Credits (LLM costs). The free tier includes 200 actions per month with $2 in vendor credits, unlimited agents, but just 1 user and 1 project. The Pro plan at $19/month adds scheduling capabilities. Team at a higher tier provides 7,000 actions, $70 in vendor credits, 5 build users, 45 end users, and analytics. Enterprise adds SSO, RBAC, multi-region support, and custom limits. A Programmatic GTM option lets developers build agents through Claude Code, Cursor, or OpenAI Codex instead of the visual builder. The platform is SOC 2 certified and available on AWS Marketplace with Bedrock integration for teams that need models served within their own AWS region.

Pricing

Free 200 actions/mo, Pro $19/mo, Team and Enterprise tiers

Platforms

SaaS, no-code visual builder, 9,000+ integrations, AWS Marketplace

Categories

Tags

Use Cases

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FAQ

What is Relevance AI?

Relevance AI is a no-code platform from Sydney, Australia for building and deploying AI agent workforces that execute business workflows autonomously. Backed by a $24M Series B led by Bessemer Venture Partners, it offers 9,000+ integrations, a visual agent builder, a marketplace of pre-built agents, and multi-model support across OpenAI, Anthropic, and AWS Bedrock. Agents handle sales development, lead research, meeting prep, onboarding, and support workflows.

Is Relevance AI free?

Relevance AI offers a free tier alongside paid plans. Free 200 actions/mo, Pro $19/mo, Team and Enterprise tiers

What are the best Relevance AI alternatives?

The top editor-verified Relevance AI alternatives are Browser Use, Agno, Claude-Flow.

How does Relevance AI score in our review?

Our hands-on review scores Relevance AI 82/100 overall, based on speed, privacy, and developer-experience testing.