An overview of Relevance AI's no-code AI agent builder, its Actions and Vendor Credits pricing model, and how it compares for building AI workforces in 2026.
Category
AI
Pricing
Freemium, credit-based subscription (Actions plus Vendor Credits), from Free (Pro plan from $19/month billed annually)
Verified
Not yet
Last updated
July 19, 2026
Founded
2020
Headquarters
Sydney, Australia
No-CodeAPIAI
Overview
Relevance AI is a no-code AI agent platform founded in 2020 and headquartered in Sydney, Australia. It lets non-developers build and orchestrate AI agents that can be combined into multi-agent 'workforces' to automate business processes such as research, outreach, and customer support.
Key Features
The platform provides a no-code agent builder, a library of more than 2,000 integrations, custom Actions for defining agent tool calls, calling and meeting agents, and agent evaluation with A/B testing analytics. Enterprise customers get SSO, role-based access control, and audit logging.
Pricing
Relevance AI uses a two-part pricing model of Actions (task steps) and Vendor Credits (underlying LLM/compute cost). Plans range from a Free tier with 200 Actions/month, through Pro at $19/month and Team at $234/month (both billed annually), up to custom Enterprise pricing.
Key Features
No-code agent builder — Lets non-developers design AI agents and automated workflows without writing code.
Multi-agent workforces — Combines multiple agents into coordinated teams that can handle multi-step business processes.
2,000+ integrations — Connects agents to a large library of third-party tools and data sources.
Custom Actions — Defines the discrete tool calls or task steps an agent can execute.
Calling and meeting agents — Purpose-built agents for handling phone calls and meeting-related tasks.
Agent evaluations and A/B testing — Provides analytics to test and compare agent performance.
Enterprise security controls — Includes SSO, role-based access control, and audit logs on higher-tier plans.
Actions and Vendor Credits billing — Separates task-step usage (Actions) from underlying AI model/compute cost (Vendor Credits) for transparent metering.
Pros & Cons
Pros
No-code agent builder lowers the barrier to building AI automation
Large integration library (2,000+) connects agents to existing tools
Transparent two-part usage pricing separates task steps from model cost
Free tier available for experimentation before committing to a paid plan
Enterprise-grade security controls (SSO, RBAC, audit logs) available
Cons
Costs can scale quickly once agents move into production-level usage
Two-part Actions plus Vendor Credits pricing can be confusing to estimate upfront
Advanced governance features are gated behind Team and Enterprise tiers
Company headcount and detailed operational scale are not publicly disclosed
Pricing
Free $0 per month
Pro $19 per month, billed annually
Team $234 (or $349 month-to-month) per month, billed annually
Enterprise Custom Contact sales
Frequently Asked Questions
What is Relevance AI?
Relevance AI is a no-code platform for building and orchestrating AI agents, including multi-agent 'workforces' that automate multi-step business tasks.
How does Relevance AI pricing work?
Pricing is based on two metered components: Actions (the number of task steps an agent executes) and Vendor Credits (the dollar cost of underlying LLM and compute usage).
Is there a free plan?
Yes, Relevance AI offers a Free plan with 200 Actions per month and a one-time allotment of 1,000 Vendor Credits.
Who founded Relevance AI?
Relevance AI was founded in 2020 by co-CEOs Daniel Vassilev and Jacky Koh, along with Daniel Palmer.
Where is Relevance AI headquartered?
Relevance AI is headquartered in Sydney, Australia.
Does Relevance AI offer enterprise security features?
Yes, the Enterprise plan includes SSO, role-based access control (RBAC), and audit logs.
What integrations does Relevance AI support?
Relevance AI connects to more than 2,000 third-party tools and services.
How much funding has Relevance AI raised?
Relevance AI has raised a reported $37 million in total funding, including a $24 million Series B led by Bessemer Venture Partners.