Sold by: CrewAI
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.
4.4
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
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
Custom pricing options
Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote. Sign in to view any offers that have been extended to you.
Legal
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
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.
Similar products
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.
Airia discovers shadow AI, enforces runtime guardrails across models and agents, and maps compliance evidence to EU AI Act, ISO 42001, and NIST AI RMF.
Enterprise AI platform with Admin Console and Employee Portal. RBAC, audit trail, 10+ Bedrock models. Every employee gets a role-specific AI agent. One-click CloudFormation deploy.
The most powerful answer engine for businesses. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
Customer reviews
Shashank S.
Breaks Complex Tasks into Clear, Manageable Agent Roles
Reviewed on Oct 22, 2026
Review provided by G2
What do you like best about the product?
I like that CrewAI lets me break a complicated task into smaller jobs and give each agent a clear responsibility.
What do you dislike about the product?
Setting up a workflow is fairly straightforward, but making it dependable in day-to-day use takes more work.
What problems is the product solving and how is that benefiting you?
It’s useful for workflows such as researching a topic, organizing the findings, and preparing a final report.
Abinash D.
Crewai Speeds Up Role-Based Multi-Agent Prototyping
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
The best feature of Crewai is how quickly I can start prototyping, run, and work on multiple agents and make them role-based with its tool.
What do you dislike about the product?
It feels like it lacks control and tracing over observability compared to graph frameworks for free users; it's more difficult in the observation part.
What problems is the product solving and how is that benefiting you?
It solves the hassle of spinning multiple collaborative agents for my ideas and prototyping.
Jithin G.
CrewAI Makes Multi-Agent Prototyping Fast and Easy
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
The best thing about CrewAI is how easy it is to set up AI agents that can work together like a real team. As a developer, I really appreciate how quickly we can build working prototypes and plug in different models.
What do you dislike about the product?
Sometimes the agents get stuck in endless loops while trying to use tools or when talking to each other, which quickly wastes time and drives up API costs. Also, it can be hard to customize when we need full control over exactly how tasks are passed around.
What problems is the product solving and how is that benefiting you?
Instead of writing one huge, messy prompt that ends up confusing the AI, CrewAI lets me build small, focused agents that work together like a real team. That means no more headaches from writing complex background code just to pass data from one AI task to the next. Ultimately, it saves me time.
Nikhil V.
Clean, Straightforward UI with Consistent AI Results and Fair Pricing
Reviewed on Oct 12, 2026
Review provided by G2
What do you like best about the product?
I really like the user interface. It’s clean and straightforward, which makes it easy for me to manage my tools, repositories, and automations all in one place. The pricing also feels fair for the range of features included, especially for software engineers like me. The AI works well across many of my projects and tends to deliver consistent results from one project to the next. On top of that, the signup process is smooth and hassle-free; with just my login credentials, I’m taken straight to the projects assigned by my enterprise.
What do you dislike about the product?
I dislike that it fails to handle multiple automation runs simultaneously, and that integration is a little difficult. I recommend improving its integrations with major cloud services so developers can set up easier workflows.
What problems is the product solving and how is that benefiting you?
It helps me automate my projects for testing and debugging, which saves me a lot of time. I can then use that time to focus on developing new projects.
Telecommunications
CrewAI Makes Multi-Agent Orchestration Fast, Powerful, and Developer-Friendly
Reviewed on Oct 11, 2026
Review provided by G2
What do you like best about the product?
CrewAI delivers exceptional value as a multi-agent AI orchestration framework by pairing an accessible setup featuring clean Python/YAML-based configurations and intuitive CLI onboarding with a developer-centric UI that makes building, debugging, and observing complex agentic workflows seamless. Its intelligent core orchestrates autonomous role-playing agents that collaborate, delegate tasks, and execute sequential or hierarchical processes with remarkable efficiency. Supported by native integrations with LangChain, LlamaIndex, local LLMs (Ollama), and major vector databases, CrewAI maintains high performance and low latency across custom enterprise pipelines. The platform yields an immediate return on investment by automating multi-step business research and technical workflows, supported by active community channels, enterprise-grade documentation, and dedicated customer support.
What do you dislike about the product?
While CrewAI provides a flexible multi-agent framework, its primary drawbacks stem from an over-abstracted architecture that can make non-deterministic agent loops and circular delegation difficult to debug, along with memory and context decay in multi-step workflows. Non-technical users face onboarding friction due to its reliance on raw Python code or strict YAML configurations, while UI/UX options are split, as the full visual studio interface remains paywalled behind enterprise platform tiers. High-density runs with multiple agents carry latency and cost risks from continuous API calls, and native SaaS integrations are limited compared to custom developer setups. Additionally, smaller RIAs or SMBs can find the enterprise pricing tiers restrictive, while open-source support relies mainly on asynchronous community channels like GitHub or Discord rather than real-time live assistance.
What problems is the product solving and how is that benefiting you?
CrewAI solves the critical challenges of LLM context overload, single-prompt limitations, and complex multi-step process fragmentation by organizing autonomous AI agents into collaborative, specialized teams. Paired with a zero-cost open-source core and flexible cloud/AWS pricing models, it delivers low-latency orchestration and robust UI developer controls via code or visual flows. Native integrations with LangChain, Ollama, and vector databases allow agents to delegate tasks, pass structured memory, and query tools seamlessly. Backed by guided onboarding documentation and active enterprise/community support, this directly benefits daily workflows by automating complex research, software development, and analytical pipelines with measurable accuracy and immediate operational ROI.