Sold by: crewAI
Deployed on AWS
CrewAI Enterprise Platform is a fully managed SaaS solution listed in AWS Marketplace that enables rapid creation, deployment, and management of AI driven agents across any infrastructure. With built-in governance, auditability, and real time observability, organizations can accelerate automation adoption, meet compliance requirements, and demonstrate ROI by deploying AI agents in CrewAI.
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Overview
CrewAI Enterprise Platform is a turnkey SaaS solution for designing, deploying, and managing AI agents that automate complex workflows across any environment, private data centers, or hybrid infrastructures. Teams can define agents in human readable YAML or use our visual, low code editor to assemble multi step processes that call REST APIs, invoke serverless functions, run Python code, or interface with popular SaaS systems like Salesforce, ServiceNow, and Slack. With one click GitOps pipelines and a unified CLI or UI, you can test locally, replay executions for debugging, and promote agents through dev, staging, and production in minutes.
Built for the enterprise, CrewAI enforces role based access controls, policy driven approvals, and immutable audit logs for every agent execution, ensuring compliance and security at scale. Real-time dashboards surface throughput, latency, error rates, and estimated costs so you can monitor SLAs, pinpoint bottlenecks, and demonstrate automation ROI. Out of the box connectors, extensible REST and webhook frameworks mean you can integrate CrewAI into existing systems without heavy engineering lift. From customer support and software engineering, CrewAI Enterprise Platform empowers your organization to innovate faster by abstracting away operational complexity.
Highlights
- Rich Integrations Ecosystem. Tap into databases, messaging systems, serverless functions, and SaaS apps with out of the box integrations or custom tools.
- Visual & YAML Based Agent Design. Build AI agents via drag and drop workflows or human readable YAML for maximum flexibility.
- Managed Support. Rely on CrewAI expert services team for onboarding, incident response, and ongoing operational guidance.
Details
Sold by
Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Basic | Includes 100 executions/mo, 2 live crews, 5 seats, self-service. | $99.00 |
Vendor refund policy
No refunds.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Karthick N.
CrewAI Makes Building Collaborative AI Agents Fast and Simple
Reviewed on Jul 09, 2026
Review provided by G2
What do you like best about the product?
What I like best about CrewAI is that it makes it easy to build AI agents that can work together as a team. It has a simple structure, is easy to learn, and helps automate tasks with less coding. It also saves time and makes complex workflows easier to manage.
What do you dislike about the product?
One thing I dislike about CrewAI is that the documentation can be confusing for beginners. Sometimes it takes time to understand how to set up complex workflows, and debugging errors can be difficult.
What problems is the product solving and how is that benefiting you?
CrewAI helps automate repetitive tasks by allowing multiple AI agents to work together. This saves me time, reduces manual work, and makes it easier to complete complex tasks more efficiently.
Jayanth C.
Crew AI: Fast, Production-Ready AI Agents with Great Model Support and Custom Pricing
Reviewed on Jul 08, 2026
Review provided by G2
What do you like best about the product?
Crew AI was very useful to build AI agents in a production-level and fast development process. The documentation is to understand, and the models' support in Crew AI is simply awesome; we can see many intelligent LLM models. The best thing about Crew AI pricing is customization according to our requirements. There is no performance lag while using it. I am using it for my internal projects. Easy to integrate with other apps because of the Python language. The Best UI/UX is impressive a lot because of coloring choice
What do you dislike about the product?
Crew AI generally performs better overall, but it feels more tied to the OpenAI models. I’m also running into some issues when trying to use other models, such as Gemini and Grok.
What problems is the product solving and how is that benefiting you?
CrewAI addresses the challenge of orchestrating multiple AI agents to work together on complex tasks, rather than relying on a single LLM prompt. It lets me set up specialized agents with clear roles, goals, and tools so they can collaborate effectively, which makes workflows more modular, scalable, and maintainable. For me, this has translated into less development time, better accuracy and consistency across AI workflows, simpler automation for multi-step processes, and an easier path to building production-ready AI applications with stronger task delegation and monitoring.