Relevance AI is a platform for building and deploying custom AI agents that automate operational work across a business. It provides a visual, low-code environment where teams can design agents that reason, call tools, process documents and data, trigger actions and collaborate as coordinated digital workers. Instead of isolated prompts or fragmented scripts, Relevance AI supports a cohesive agent workforce that handles repetitive tasks, assists teams in real time and scales across departments.
The platform works with multiple foundation models, including OpenAI, Anthropic and open-source systems, and combines them with vector search, tool calling, structured logic and API integrations. Teams can orchestrate multi-step workflows, connect agents to internal systems and track performance through built-in evaluation, observability and governance controls. Common use cases include lead qualification, support automation, onboarding, data cleaning and enrichment, report generation and internal knowledge retrieval.
Relevance AI is built for companies that want automation without relying on a large engineering team. Analysts, operations leaders and subject-matter experts can create agents that operate safely alongside humans and improve through usage. The platform enables a scalable AI workforce that reduces manual effort, accelerates decisions and increases output with fewer resources.
