CrewAI

About CrewAI

CrewAI is a multi-agent automation platform that enables enterprises to build and deploy automated workflows using any large language model (LLM) across various cloud environments. It addresses the complexity of task automation by providing tools for rapid development, deployment, and performance tracking of AI-driven agents, enhancing operational efficiency and visibility.

```xml <problem> Enterprises face challenges in automating complex tasks due to the difficulty of developing, deploying, and tracking the performance of AI-driven agents across diverse cloud environments. Existing solutions often lack the tools for rapid development and the visibility needed to ensure operational efficiency. </problem> <solution> CrewAI is a multi-agent automation platform designed to streamline workflows by enabling the creation and deployment of AI-powered agents. The platform provides a framework and UI Studio for building multi-agent automations, whether through coding or no-code tools and templates. CrewAI offers tools for different deployment types and autogenerates UI, simplifying the process of moving agents to production. The platform also allows users to monitor the performance and progress of each crew, and provides testing and training tools to improve efficiency and results quality. </solution> <features> - Framework and UI Studio for building multi-agent automations - No-code tools and templates for rapid development - Tools for different deployment types - Autogenerated UI - Performance and progress monitoring - Testing and training tools for continuous improvement - Options for cloud, self-hosted, or local deployment - Integrates with various applications </features> <target_audience> The primary customers are enterprises across various industries looking to streamline workflows and enhance operational efficiency through AI-driven automation. </target_audience> ```

What does CrewAI do?

CrewAI is a multi-agent automation platform that enables enterprises to build and deploy automated workflows using any large language model (LLM) across various cloud environments. It addresses the complexity of task automation by providing tools for rapid development, deployment, and performance tracking of AI-driven agents, enhancing operational efficiency and visibility.

Where is CrewAI located?

CrewAI is based in San Francisco.

When was CrewAI founded?

CrewAI was founded in 2023.

How much funding has CrewAI raised?

CrewAI has raised 12000000.

Location
San Francisco
Founded
2023
Funding
12000000
Employees
26 employees
Major Investors
Insight Partners
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CrewAI

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

CrewAI is a multi-agent automation platform that enables enterprises to build and deploy automated workflows using any large language model (LLM) across various cloud environments. It addresses the complexity of task automation by providing tools for rapid development, deployment, and performance tracking of AI-driven agents, enhancing operational efficiency and visibility.

crewai.com50K+
cb
Crunchbase
Founded 2023San Francisco

Funding

$

Estimated Funding

$12M+

Major Investors

Insight Partners

Team (25+)

Michal Plachta

Bringing Agentic AI Innovations to Market

Company Description

Problem

Enterprises face challenges in automating complex tasks due to the difficulty of developing, deploying, and tracking the performance of AI-driven agents across diverse cloud environments. Existing solutions often lack the tools for rapid development and the visibility needed to ensure operational efficiency.

Solution

CrewAI is a multi-agent automation platform designed to streamline workflows by enabling the creation and deployment of AI-powered agents. The platform provides a framework and UI Studio for building multi-agent automations, whether through coding or no-code tools and templates. CrewAI offers tools for different deployment types and autogenerates UI, simplifying the process of moving agents to production. The platform also allows users to monitor the performance and progress of each crew, and provides testing and training tools to improve efficiency and results quality.

Features

Framework and UI Studio for building multi-agent automations

No-code tools and templates for rapid development

Tools for different deployment types

Autogenerated UI

Performance and progress monitoring

Testing and training tools for continuous improvement

Options for cloud, self-hosted, or local deployment

Integrates with various applications

Target Audience

The primary customers are enterprises across various industries looking to streamline workflows and enhance operational efficiency through AI-driven automation.