Relevance AI

Relevance AI is a low-code and no-code platform designed to build AI agents and multi-agent teams that autonomously perform tasks typically handled by human employees. It supports deployment of agents across various business processes including sales lead engagement, research, customer support, content creation, data analysis, and scheduling. The platform integrates with existing workflows and tools, offering a proprietary AI chaining runtime to handle complex tasks without requiring coding expertise. Users can create embeddable AI applications from data to production, leveraging a knowledge base powered by Retrieval-Augmented Generation (RAG) to provide agents with access to specific information beyond their pre-trained models. The platform features a no-code workflow builder, API integrations, and connections to over 2000 applications such as Gmail, Slack, and Notion. It supports multiple large language model providers including OpenAI, Anthropic, and Google, without vendor lock-in. Relevance AI also provides tools for testing and validating AI agents through Evals, which include test suites and simulated interactions. The platform is SOC 2 Type II and GDPR compliant, catering to businesses and teams aiming to scale enterprise-grade automation.