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Relevance AI

Platform for building and deploying autonomous AI agents for business teams.

Last updated: Aug 14, 2026

Pricing

Updated: Jul 3, 2025
Starting Price
Free
Pricing Model
freemium
Free Plan
Yes
Free Trial
Yes

About Relevance AI

Relevance AI, built by OnSearch Pty Ltd, is a platform for creating and running AI agents that automate business workflows in sales, customer success, marketing, HR, and operations. Rather than a single chatbot, it lets teams assemble specialist agents from pre-built templates, such as a research and enrichment agent, a pre-meeting prepper, or a post-call action agent, and have them work with some autonomy while still routing certain decisions through human approval. Under the hood, the platform routes requests across multiple LLMs to balance cost and performance, and it includes built-in evaluation, monitoring, and real-time tracing so teams can see how an agent is performing. A shared context layer lets multiple agents draw on the same business knowledge rather than each starting from scratch. The company reports over 1,000 app integrations, including HubSpot, Salesforce, Slack, Gmail, and major data warehouses like Snowflake and Databricks, plus a public API and MCP support for developers. Relevance AI targets enterprise go-to-market and operations teams, and its pricing is usage-based, reportedly averaging under ten cents per completed task. The platform holds SOC 2 Type II and GDPR compliance. One limitation: because agents run somewhat autonomously, teams still need to configure approval steps to keep quality and cost under control.

At a glance

Company
OnSearch Pty Ltd
Platforms
Web, API
API
Available
Integrations
HubSpot, Salesforce, Slack, Gmail, LinkedIn, Snowflake, Databricks
Last verified
August 2026
Last updated: August 14, 2026

Who It's For

  • •AI developers and engineers
  • •Data scientists
  • •Businesses seeking to integrate AI into their operations
  • •Startups looking to build AI-powered products
  • •Enterprises requiring scalable AI solutions

How It Works

  1. 1Users can leverage Relevance AI's pre-built modules and templates to jumpstart their AI projects.
  2. 2The platform provides tools for data ingestion, cleaning, and transformation to prepare datasets for AI models.
  3. 3Users can build and fine-tune large language models (LLMs) and other AI models using the platform's orchestration and management features.
  4. 4Relevance AI facilitates the deployment of AI applications as APIs or custom solutions, integrating them into existing workflows.
  5. 5The platform includes features for monitoring, optimizing, and iterating on deployed AI models to ensure optimal performance.

How to Use Relevance AI

  1. 1Begin by signing up for a Relevance AI account and accessing the platform dashboard.
  2. 2Upload your data or connect to various data sources to prepare it for AI processing.
  3. 3Utilize the drag-and-drop interface or code editor to design and build your AI application.
  4. 4Deploy your AI application through the platform's deployment options, such as API endpoints.
  5. 5Monitor the performance of your deployed AI model and make necessary adjustments for improvement.

Key Features

  • •Pre-built agent templates
  • •Multi-model LLM routing
  • •Built-in evaluation and monitoring
  • •Human-in-the-loop approval workflows
  • •Shared context layer across agents
  • •Real-time tracing

Use Cases

  • •Automate lead research and enrichment for sales teams
  • •Prepare briefing notes before customer meetings
  • •Trigger post-call follow-up actions automatically

Pros & Cons

Advantages

  • •Simplifies complex AI development with user-friendly tools and pre-built components.
  • •Accelerates the deployment of AI applications, reducing time to market.
  • •Provides a comprehensive suite for end-to-end AI lifecycle management.
  • •Offers strong support for Large Language Models (LLMs) and vector embeddings, crucial for modern AI applications.

Disadvantages

  • •The breadth of features might have a learning curve for complete beginners.
  • •Pricing might be a consideration for very small businesses or individual developers with limited budgets.

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Frequently Asked Questions

What is Relevance AI?

Relevance AI, built by OnSearch Pty Ltd, is a platform for creating and running AI agents that automate business workflows in sales, customer success, marketing, HR, and operations. Rather than a single chatbot, it lets teams assemble specialist agents from pre-built templates, such as a research and enrichment agent, a pre-meeting prepper, or a post-call action agent, and have them work with some autonomy while still routing certain decisions through human approval.

How much does Relevance AI cost?

Relevance AI has a free plan; paid plans start at $17.10. A free trial is available.

Is Relevance AI free?

Yes, Relevance AI offers a free plan you can start with.

What are the best Relevance AI alternatives?

Popular Relevance AI alternatives include Zapier, n8n, Make.

What is Relevance AI used for?

Relevance AI is commonly used for Automate lead research and enrichment for sales teams, Prepare briefing notes before customer meetings, Trigger post-call follow-up actions automatically.

Does Relevance AI have an API?

Yes, Relevance AI offers an API for developers.

What platforms does Relevance AI support?

Relevance AI is available on Web, API.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.