CrewAI integrates with 700+ applications to enable hundreds of use cases

Streamline Your  Workflows   with AI-Powered Development

Our AI multi-agentic platform provides a wide range of tools for every step in the agent life cycle.
Plan
Build
Deploy
Monitor
Iterate
Evaluator
Crew Studio
Auto API Creation
Management UI
Crew Testing
Chat with Docs
Templates
Deploy CLIA
Quality Reporting
Training UI
CrewAI Courses
Integrations
Auto Generate UI
Crew Dashboards
Auto Train
Trusted by industry leaders

 Powerful Tools For Every Step

Step 1: Plan

Designing muti-agentic automations begin with lots of practical courses and videos. There are also lots of tactical tools from ROI models to use case libraries and idea generators that we can provide to your team to get started.

Step 2: Build

Start by using CrewAI’s framework or UI Studio to build your multi-agent automations—whether coding from scratch or leveraging our no-code tools and templates. We make it easy to build crews of agents for any use case you can think of. This includes a wide range of different AI agent arrays and structures.

Step 3: Deploy

Intelligently deploying collections of AI agents involves optimizing agent collaboration, task allocation, and communication. By assigning specialized roles to agents based on their capabilities, monitoring their performance in real-time, and dynamically adjusting workflows, you can maximize efficiency.

Step 4: Monitor

Use CrewAI to set clear performance metrics for each agent and crew, utilizing our real-time management dashboards to track progress and automate alerts for anomalies or delays. Regularly review agent interactions, adjusting task allocations, and using CrewAI's analytics tools to evaluate outcomes ensure smooth operations. Continuous feedback loops help fine-tune agent behaviors and improve overall system efficiency.

Step 5: lterate

We enable you to regularly update models based on new data and feedback, continuously monitoring performance to identify improvement areas, and implement adaptive learning mechanisms. You can test agents in diverse scenarios ensures robustness. Collaborate across teams for input, and gradually deploy changes to avoid disruptions. Prioritize scalability and maintain thorough documentation for future iterations.

 Everything  You Need In A Multi-Agent Platform

On-Premises Capable

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

HIPAA & SOC2 Compliant

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

Massively Scalable

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

IP Protection

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

Secure

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

VIP 24x7 Support

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

Easy User Management & Permissioning

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.

Supports AWS, Azure, GCS

Deploy crew.ai within your own infrastructure for full control and compliance with internal policies.