Relevance AI

Relevance AI (trading as OnSearch Pty Ltd) is a venture-backed AI agent platform that enables teams to build, connect, and deploy “AI workforces”—multi-agent systems that perform multi-step workflows with access to the organization’s data and tools. The company positions its platform as low/no-code for non-engineers, with a builder workflow that centers on: (1) creating agents, (2) equipping them with tools and integrations, (3) grounding them in knowledge sources using retrieval-augmented generation (RAG), and (4) orchestrating agents together into workforces for end-to-end execution. Relevance AI also offers a Marketplace with pre-built agents/tools that customers can clone and customize.

From a product perspective, Relevance AI has two primary experiences: a builder platform for creating/configuring agents, tools, knowledge, and workforces, and “Relevance Chat” for interacting with agents in a conversational interface. Key platform modules include Invent (a text-to-agent generator described as “describe what you need” in plain language), Workforce (a visual canvas for building multi-agent systems), and Knowledge (a RAG-powered knowledge system that searches connected knowledge bases and grounds agent responses in that retrieved context). The company also emphasizes operational controls such as scheduling, human-in-the-loop escalation, logging, and governance features that it frames as part of AgentOS for scaling agent operations.

Relevance AI’s business model is consistent with enterprise software: customers deploy purpose-built agent teams (often with Relevance’s embedded deployment/helping setup) and run tasks through an “enterprise-grade platform.” The company’s messaging suggests value is measured in task throughput, unit economics, and quality/evaluation outcomes, with Relevance presenting operating metrics (e.g., task runs per month, spend per month, cost per task, and eval pass rates) on its site. Its go-to-market targets a wide range of functions (sales, customer support, marketing, HR/operations) and focuses on organizations that want automation that goes beyond static chatbot-style responses, emphasizing delegation and multi-step workflows rather than single-turn assistance.

Strategically, Relevance AI’s position is reinforced by its recent funding trajectory and productization of agent orchestration workflows (Invent/Workforce) plus operational tooling (AgentOS). In May 2025 it announced a $24M Series B led by Bessemer Venture Partners, and in May 2025 it rolled out major product updates around Workforce, Invent, integrations, and AgentOS.