Relevance AI

Relevance AI is an AI agent platform built for businesses to design, deploy, and manage an AI workforce of autonomous agents, on the metaphor that companies should hire, train, manage, and scale AI agents like employees. Founded in 2020 in Sydney, Australia, it has become a defining brand in the agentic-AI-platform category, with particular strength in go-to-market automation across sales, marketing, and customer success. The platform targets revenue teams, operations leaders, and founders who want to delegate whole business functions to AI rather than automate individual tasks. Relevance AI connects to 2,000-plus integrations spanning CRM (Salesforce, HubSpot, Zoho, Pipedrive), sales engagement (Outreach, Apollo, Instantly), email, scheduling, databases (Airtable, Notion, Google Sheets), and communication (Slack, Teams). It supports all major LLM providers, including OpenAI, Anthropic Claude, Google Gemini, and Mistral, with bring-your-own-key for enterprise. Relevance publishes an MCP server for its documentation, a search-and-retrieval endpoint that external AI agents connect into, and lists MCP as one of three build paths alongside Invent and drag-and-drop. Compared with n8n and Zapier, the workflow builder has less visual granularity for complex conditional logic, which suits operator personas more than developer-first teams. Relevance AI has moved from publicly tiered pricing to a fully enterprise, sales-led model with no public rates; every paid plan now requires a sales conversation, though a self-serve trial signup is still available. Its prior public tiers (historically Free, Pro, Team, and Business) offered a clear self-serve path from free evaluation to scaled deployment, and the current sales-only model adds evaluation friction. Enterprise features include SSO, RBAC, audit logs, agent evaluations, A/B testing, calling and meeting agents, enterprise triggers, and dedicated account management. Teams wanting transparent, self-serve pricing before a sales conversation can compare Lindy or n8n Cloud. Relevance AI is not the right fit for individual developers who prefer code-first automation, for whom n8n (open source, self-hostable) or a framework like LangChain fits better. For simple two-app automations without AI reasoning, Zapier or Make are faster to set up. For teams that want transparent, self-serve pricing before committing to sales, Lindy, Bardeen, or n8n Cloud publish public pricing with trial access. For enterprises that need SOC 2 and ISO 27001 compliance and a managed AI workforce without engineering resources, Relevance AI is well matched. Current state Q3 2026: Relevance AI has Invent, a plain-language agent builder that generates agents, tools, and evals from a description, and its evals score agent quality continuously against expert-defined criteria with weekly trend tracking. Three build paths are available: Invent, drag-and-drop, and MCP. Named case studies include Qualified ($7M pipeline with 35-plus agents), Send Payments (40 hours per week saved), and Zembl (30 percent more conversions). Enterprise security includes PII masking, OTEL and Delta Share observability, SAML 2.0 SSO, and data-residency controls, and Relevance holds SOC 2 Type II, ISO 27001, and GDPR. The company has raised more than $40 million from venture investors. Not affiliated.