CrewAI

CrewAI is a platform for building, running and governing AI agents inside a business. Its site describes it as a unified build and runtime platform, so that business teams and engineers can build agents while platform teams keep central control over them.

The product has several parts. Discovery reviews tickets, chats, apps and workflows and suggests automation opportunities, ranked by effort, value and readiness. The builder lets users create multi-agent workflows from a prompt or a canvas-style editor, and the visual editor can be exported to Python. Engineers can work code-first, using role-based agents and deterministic workflows.

The Control Plane sits in the execution path of every workflow. According to the site, it provides real-time tracing of LLM calls, tool calls and memory reads with cost accounting, role-based access control and audit trails, human-in-the-loop approval gates, and runtime hooks that apply PII redaction and policy checks. The Optimize section describes automated and human-guided training, testing across several models, and evaluation through integrations with Arize, Galileo, DataDog and Patronus.

The site names enterprise teams in finance, food ordering, education, and sales as users, and says that 65% of the Fortune 500 use the platform. Those are the company's own claims and are not independently verified here.

The free Basic plan includes the visual editor, an AI copilot, GitHub integration and 50 workflow executions per month. The Enterprise plan is priced on request. It adds SSO, RBAC, workload identity, PII redaction and policies, deployment on CrewAI cloud, a dedicated VPC or the customer's own infrastructure, a 45-day onboarding programme, and forward deployed engineering and training.

The company also publishes an open source project on GitHub, and its documentation is available on the site. Enterprise buyers can book a demo or request a trial to discuss deployment options.