Your AI Team






Automate collaborative work
Build a collaborative team to working on collaborative problems to achieve collaborative goals.
Recruit a team of specialists
Our no-code builder allows you to distill your processes and knowledge into specialist agents.
Your AI workforce, your process
Easily add escalation to any process or conversation so you can always be in control.
Enable agent to agent feedback
Improve the quality control of your AI workforce by enabling agent to agent feedback.
No training on your data
No training on your data. Your data is never used to train models.
A multi-agent system (MAS) is a group of intelligent agents that interact and work together towards achieving common goals. Agents in a MAS combine their individual capabilities and knowledge to collaborate on solving problems that are beyond the scope of any individual agent.
Some key characteristics of a multi-agent system are:
- Composed of multiple autonomous agents
- Agents have particular capabilities and expertise
- Agents communicate and coordinate with other agents
- Decentralized control and decentralized data
- Emergent global behavior from local agent interactions
Some of the key benefits of developing a multi-agent system are:
- Modularity - Agents can be added or removed as needed
- Robustness - System continues operation if some agents fail
- Scalability - Easy to expand system by adding agents
- Flexibility - Agents can be customized for different roles
- Faster problem solving - Parallelization of work across agents
- Broader intelligence - Combination of multiple skill sets
Relevance AI provides a no-code platform for easily building intelligent multi-agent systems. Here are the key steps:
- Identify the Goals and Scope - Define the objectives and outcomes you want to achieve an map out different tasks and workflows required.
- Create and Train Agents - Use pre-built agents or create custom agents. Train agents on specific domains and give them specialized skills
- Define Agent Interactions - Model how agents will communicate and work together
- Deploy and Iterate - Deploy your multi-agent system. Monitor performance and add/adjust agents as needed
Thousands of businesses have already seen transformational results











