Relevance AI
Specialist AI agents for every task
Relevance AI is an enterprise platform for building, running and managing specialist AI agents. It addresses the operational work around agents: triggering them with the right data, orchestrating multi-step tasks, evaluating quality, monitoring production runs, and governing access to business systems. Agents can be created through a visual drag-and-drop canvas, by describing the agent in plain language for Invent to build, or through MCP from tools such as Claude Code, Codex and Cursor.
The platform combines agent building, orchestration, evaluation, tracing, job queuing, an LLM router, a context layer and an MCP gateway in one system. It supports triggers from schedules, webhooks, app events and custom signals; multi-agent workflows with handoffs and branching; knowledge and memory with hybrid RAG; sandboxed Python and JavaScript tools; and channels including voice agents and embeddable widgets. Integrations cover more than 2,000 apps across categories such as Slack, Salesforce, HubSpot and communication platforms. Enterprise controls include role-based access, SSO/SAML, human-in-the-loop approvals, audit logs, PII masking, data residency and OTEL/Delta Share export.
Relevance AI is aimed at enterprise teams that own operational outcomes, including sales, customer success, marketing, support, operations and HR. The pages describe a free trial and a demo option, alongside an Enterprise edition, but do not specify seat-based or usage-based pricing details.
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