Relevance AI
No-code platform to build and manage teams of autonomous AI agents
No-code platform to build and manage teams of autonomous AI agents
What it can do
Build agents from natural language
SupervisedDescribe a desired workflow in plain language and the platform generates the agents, tools, and evals.
sourceOrchestrate multi-agent workforces
SupervisedCompose teams of specialized agents that collaborate, each with its own tools and task scope, running on triggers and signals.
sourceEnforce quality with Evals
SupervisedDomain experts define pass/fail thresholds and the platform scores agent output before deployment.
sourceGovern with human-in-the-loop oversight
SupervisedRBAC, audit logs, approval workflows, and a task timeline let humans review, escalate, and stop agent actions.
source
Overview
Relevance AI is a no-code platform for building and managing AI agents and multi-agent teams (an AI workforce). It is a proprietary cloud SaaS aimed at mid-market and enterprise teams, with a strong go-to-market focus as of 2026.
What it does
Users build agents from natural language, a drag-and-drop builder, or programmatically via an MCP server. The platform composes multi-agent workforces, enforces quality with an Evals framework, and governs agents with RBAC, audit logs, approval workflows, and a task timeline. Most capabilities sit at supervised-agent; higher autonomy levels are configurable.
Integrations & setup
Connects to HubSpot, Salesforce, Slack, Gmail, Apollo, and Notion, with two-way MCP support and a REST API. It is model-agnostic across Claude, GPT, and Gemini.
Pricing
Freemium with a free tier, paid plans reportedly from around $19/mo, and contact-sales enterprise, metered separately as actions and vendor credits. A 2025 pricing overhaul drew complaints.
Best for / not for
Best for teams that want to build governed agents without code and value evals and oversight. Less suited to those needing self-hosting or predictable flat pricing.
Alternatives
Lindy targets assistant-style agents; n8n targets developer-friendly workflow automation with AI nodes.
What people are saying
Loved for
- +experience
- +data
- +learning
Common gripes
- −packaging
- −infrastructure
- −capacity
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