
Reviewed by Harsh Desai · Last reviewed:
Relevance AI
AI agents that perform, run by teams who own the number
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Relevance AI is a no-code platform for building autonomous AI agent workforces from Relevance AI (OnSearch Pty Ltd). It is trusted by enterprises like Canva and Autodesk and lets you compose multi-agent systems that handle sales prospecting, lead enrichment, and GTM operations across 2,000+ connected apps without writing code.
What Relevance AI does:
- •No-code agent builder visually compose custom AI agents and multi-agent workflows without writing code, with drag-and-drop steps targeted at GTM operators.
- •AI Workforces deploy entire teams of agents that work together autonomously on complex tasks like prospecting, deal follow-ups, and meeting booking.
- •500M+ contact search engine access a built-in B2B database for finding and enriching leads directly inside your agent workflows, no separate data tool needed.
- •Copilot and Autopilot modes switch between human-in-the-loop AI assistance and fully autonomous execution depending on the risk level of each task.
- •Bring your own LLM the model-agnostic engine integrates OpenAI, Anthropic, Google, or open-source models, so developers control model choice and cost.
- •2,000+ app integrations connect agents to HubSpot, Salesforce, Slack, Gmail, Apollo, Gong, and Notion for end-to-end workflow automation.
- •Pre-built agent templates start from a marketplace of ready-made agents for common sales, marketing, and customer support use cases.
- •REST API and MCP support programmatically manage agents, workforces, and data, and connect to other tools via the Model Context Protocol on paid plans.
Pricing:
- •Free $0/month: 200 Actions/month, $2 bonus vendor credits, 1 user, ideal for testing the product before committing.
- •Pro $19/month (billed annually): 30,000 Actions/year, $240 vendor credits/year, 2 build users, Autopilot mode, task scheduling.
- •Team $234/month (billed annually): 84,000 Actions/year, $840 vendor credits/year, 5 build users, 45 end users, shared projects, analytics dashboard.
- •Enterprise custom: unlimited users and projects, dedicated account manager, advanced security, tailored onboarding.
Limitations:
- •Two-part billing is hard to predict since September 2025, Relevance AI charges separately for Actions and vendor credits (LLM usage). Both deplete as agents run, and small businesses on tight budgets report bills spiking mid-month.
- •Real setup needs technical knowledge anything beyond basic single-agent workflows (multi-agent systems, custom API integrations) requires developer-level skills. Non-technical operators hit a wall fast without help.
- •Free plan is too limited for real use 200 Actions/month is enough to test the product, not run a live workflow. Meaningful usage starts at $19/month, and costs scale steeply with agent activity.
- •Customer support is slow independent reviews consistently flag delayed response times. When an agent is stuck or burning credits unexpectedly, waiting for support is a real cost.
Our Verdict
Relevance AI scores 8/10 because it is the most production-ready no-code AI agent platform in 2026 for sales and marketing teams that need autonomous workforces beyond what Zapier or Make can deliver. It pairs a visual builder with a real REST API, MCP support, and a 500M+ contact database, and the Canva and Autodesk customer base proves it scales beyond small experiments.
For the Vibe Builder, Relevance AI is the logical next step after you have wired Zapier and Notion together and realised you need agents that can reason and act on their own. Drop in a pre-built prospecting or follow-up template, point it at HubSpot or Salesforce, and you get a multi-agent workforce that qualifies leads and books meetings without constant supervision.
For the Developer, the bring-your-own-LLM engine and full REST API mean you are not locked into one model or one workflow shape. Swap OpenAI for Anthropic mid-project, deploy custom logic via the API, and use MCP to connect agents to internal tools, all while the visual builder gives non-technical teammates a way to maintain the workflow without touching code.
Skip it if you only need single-task automation or a simple support chatbot, in which case consider Zapier for trigger-based flows or try Make for visual scenario builders. Also consider Manus if you want a more research-and-execute agent rather than a sales-focused workforce.
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Frequently Asked Questions
How much does Relevance AI cost in 2026?
Relevance AI uses a tiered, usage-based model. Free is $0/month with 200 Actions and $2 bonus vendor credits. Pro is $19/month (annual) with 30,000 Actions and $240 vendor credits. Team is $234/month with 84,000 Actions and $840 vendor credits. Enterprise is custom. Vendor credits cover LLM usage and are billed separately from Actions.
Relevance AI vs Zapier: which one should I pick?
Choose Relevance AI when you need autonomous multi-agent workforces that reason across CRM, email, and meetings; choose Zapier for simple trigger-action automations between two or three apps. Relevance AI replaces stitched-together workflows with agents that handle prospecting, follow-ups, and lead qualification in one platform built by Relevance AI.
Does Relevance AI have an API and MCP support?
Yes. Relevance AI ships a comprehensive REST API on paid plans for managing agents, workforces, and data programmatically. It also supports the Model Context Protocol, so agents can connect to external tools and data sources without custom integration code, making it suitable for engineering teams building production AI systems in 2026.
Can non-technical users build agents in Relevance AI?
Yes for basic single-agent workflows (drag-and-drop builder, pre-built templates). However, multi-agent systems and custom integrations require developer help. Most teams have one technical lead set up the workforce, then operators run it via the visual interface. The free plan is enough to test the product before committing budget.
Which LLMs can Relevance AI use?
Relevance AI is model-agnostic and supports OpenAI, Anthropic, Google, and major open-source models via the bring-your-own-LLM engine. Developers can swap models per agent, control costs, and use MCP to connect to internal data. Vendor credits are tracked separately from platform Actions, so model spend is visible in the dashboard.
What is Relevance AI?
Relevance AI is AI agents that perform, run by teams who own the number.
Is Relevance AI free?
Yes, Relevance AI offers a free version. Paid plans start at $19/month.
Who should use Relevance AI?
Relevance AI is built for vibe builders who want AI to handle the technical work and developers looking to accelerate their workflow. Common use cases include Sales Prospecting Automation, Marketing Campaign Execution, Lead Qualification & Follow-up, Multi-agent Workflow Orchestration, Enterprise GTM Operations Scaling.
What are the best alternatives to Relevance AI?
Popular alternatives to Relevance AI include Openclaw, Hermes Agent, Manus. Compare features and pricing in our AI Agents directory to compare options.
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Relevance AI
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