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CrewAI

Open Source

About CrewAI

CrewAI provides an enterprise agent build and runtime platform for businesses. The platform allows business and technical teams to build agents while platform teams retain governance control. It gives business teams and engineers a unified build and runtime platform that is centrally governed. A Control Plane is positioned in the execution path of every workflow. The system converts production runs into training data.

Products

  • Discovery: Matches patterns from agent runs against tickets, chats, apps, and workflows to produce a ranked list of automation opportunities.
  • Build: Provides a prompt and canvas style builder for creating multi-agent operational workflows.
  • Govern: Provides a Control Plane for observability, compliance, and reversibility of agent interactions.

Used for

  • Enriching leads with data on company size, printer infrastructure and revenue estimates.
  • Generating lesson content and instructor guides for curriculum design.
  • Extracting, consolidating and evaluating lead data from multiple internal systems.
  • Replacing legacy RPA tooling for customer support ticket response.
  • Testing voice agents for QA purposes.

Who it is for

  • Used by business teams building agent workflows.
  • Used by technical teams and engineers.
  • Used by platform teams responsible for governance.
  • Used by companies within the Fortune 500.

From CrewAI's own website, read 2026-10-23. How we build listings.

How to evaluate LLM Infrastructure & APIs

This is how the CIOPages Research Team evaluates this category. It is not an assessment of CrewAI. It comes from our Generative AI & LLM Platforms buyer guide.

25%
Model Capability & Task Fit
Reasoning and instruction-following on your tasks (not public leaderboards), multimodal coverage (text, image, audio, video) where you need it, context-window length for your documents, breadth of the model menu (frontier, mid, small), and measured quality on a held-out set of your real prompts
20%
Deployment, Data Residency & Governance
Where inference physically runs (multi-tenant API, your VPC, on-prem, air-gapped), explicit no-training-on-your-data and retention commitments, regional residency, SOC 2 / ISO 27001 / HIPAA / FedRAMP and EU AI Act alignment, and DLP, content filtering, and full prompt/response audit logging
15%
Build & Customization Tooling
First-class retrieval-augmented generation and grounding, managed fine-tuning and (where relevant) continued pre-training, an integrated evaluation and regression-testing harness, prompt/version management, and native or tightly integrated vector search over your corpora
15%
Agentic & Orchestration Readiness
Reliable tool/function calling, support for open agent protocols (MCP, A2A), a managed agent runtime with memory and state, multi-agent orchestration, and guardrails — permissions, human-in-the-loop checkpoints, and step-level tracing for autonomous workflows
15%
Portability & Lock-in Risk
How model-agnostic the API is, whether multiple model families are reachable through one interface, the real cost of swapping providers (prompt, tool-schema, and eval rework), reliance on open standards, and whether you can take fine-tuned weights or your data with you on exit
10%
Cost, Throughput & Operability
Token economics at your projected volume, batch and provisioned-throughput options, prompt-caching support, rate limits and quota headroom for production, p95 latency under load, regional availability and uptime SLAs, and built-in usage, cost, and quality observability

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.crewai.com Pricing page
CategoryAI & ML Platforms
SubcategoryLLM Infrastructure & APIs
DeploymentCrewAI cloud, Dedicated VPC, Customer infrastructure

We publish a detail only when we can point at the page it came from. Know when CrewAI was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
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