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CrewAI

AI Agents / Agent Infrastructure · San Francisco, California, USA

Matrix Employer Score™

93.25

Medium confidence

Employer Intelligence Evidence

Evidence-backed signals supporting our assessment of this AI employer.

Evidence-backed
AI Impact
Medium Confidence
91
3 evidence items
View evidence

Supporting signal

Agent Deployment & Workflow Impact

Agent Deployment & Workflow Impact

Medium Confidence

Oct 9, 2026

CrewAI's Gelato case study describes agents embedded in Gelato Connect for product catalog mapping and carrier-integration code generation, testing and deployment. It reports carrier onboarding falling from five days to ten minutes and SKU mapping timelines falling over 90%; these are supplier-published customer claims.

Source: CrewAI Gelato case studyprimaryOpen source ↗

Agent Deployment & Workflow Impact

Medium Confidence

Oct 7, 2026

CrewAI's PwC case study describes agents generating, executing and iteratively validating proprietary-language code and reports code-generation accuracy improving from approximately 10% to 70%. This named customer implementation and reported outcome are distinct from the generic historical multi-agent adoption statement.

Source: CrewAICompanyOpen source ↗

Multiagent Adoption

Medium Confidence

Sep 26, 2026

CrewAI is used by developers and enterprises to orchestrate multi-agent workflows and automation.

Source: CrewAICompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
AI Leadership
High Confidence
93
3 evidence items
View evidence

Supporting signal

Agentic AI Platform & Autonomy Leadership

Agentic AI Platform & Autonomy Leadership

High Confidence

Oct 7, 2026

CrewAI Flows documentation describes automatic state persistence at class or method level, resuming by saved state identifier and forking a persisted snapshot into a new run. These concrete durability mechanisms add evidence beyond generic role-based multi-agent orchestration.

Source: CrewAICompanyOpen source ↗

Multiagent Orchestration

High Confidence

Sep 26, 2026

CrewAI develops frameworks and enterprise infrastructure for role-based multi-agent orchestration.

Source: CrewAICompanyOpen source ↗

Agentic AI Platform & Autonomy Leadership

High Confidence

Sep 26, 2026

CrewAI develops frameworks and enterprise infrastructure for role-based multi-agent orchestration.

Source: CrewAICompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026
Employer Strength
Medium Confidence
92
3 evidence items
View evidence

Supporting signal

AI Agent Employer Strength

AI Agent Employer Strength

Medium Confidence

Oct 9, 2026

CrewAI describes a named NVIDIA integration connecting its Factory platform with AI Enterprise, NIM microservices and NeMo tools for deployment on customers' infrastructure, adding specific enterprise engineering collaboration beyond fundraising.

Source: CrewAIprimaryOpen source ↗

AI Agent Employer Strength

High Confidence

Oct 7, 2026

CrewAI's October 2024 company announcement reports more than $18 million raised, with investor support including Andrew Ng and Dharmesh Shah.

Source: CrewAICompanyOpen source ↗

Agent Platform Execution

Medium Confidence

Sep 26, 2026

CrewAI maintains an open developer ecosystem and enterprise agent platform.

Source: CrewAICompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 9, 2026
Market Transferability
High Confidence
96
3 evidence items
View evidence

Supporting signal

Agentic AI Skill Transferability

Agentic AI Skill Transferability

Medium Confidence

Oct 7, 2026

CrewAI Flows documentation describes typed Pydantic state, automatic state persistence through the persist decorator, a default SQLite backend and restoration of state across workflow executions.

Source: CrewAI DocumentationCompanyOpen source ↗

Agent Orchestration Portability

High Confidence

Sep 26, 2026

Agent orchestration, Python and workflow automation skills transfer across many enterprise AI contexts.

Source: CrewAICompanyOpen source ↗

Agentic AI Skill Transferability

High Confidence

Sep 26, 2026

Agent orchestration, Python and workflow automation skills transfer across many enterprise AI contexts.

Source: CrewAICompanyOpen source ↗
Evidence items: 3Methodology: v1.2Updated: Oct 7, 2026

Matrix Employer Score™ components are supported by structured employer evidence, versioned methodologies, and confidence ratings.

Hiring Signal

Hiring

Employer Signal

92

Hiring Opportunity

88

Company Overview

Employer Snapshot

AI Category

AI Agents / Agent Infrastructure

Primary Location

San Francisco, California, USA

Founded

2023

Employees

80

Why AI Talent Watches CrewAI

CrewAI develops a platform and open-source framework for orchestrating multi-agent AI systems and enterprise automation.

Why Join

Build open-source and enterprise infrastructure for orchestrating increasingly complex AI agent systems.

Employer Intelligence

Hiring: Hiring

Talent Competition: Very High

Technical Bar: Very High

AI Talent Matrix Confidence: Medium confidence

Talent Intelligence

Matrix Employer Score™ Breakdown

View Matrix Employer Score™ Methodology →

Core Employer Intelligence

AI Impact

91

AI Leadership

93

Employer Strength

92

Market Transferability

96

Career & Workplace

Career Growth

100

Compensation

90

Engineering Culture

100

Work-Life Balance

80

Evidence-Backed Signals

Career Upside

100

Talent Density

90

Hiring Opportunity

88

Talent & Career Programs

Remote Policy

Remote Friendly

Visa Sponsorship

Case by Case

Internship Program

Limited

New Grad Program

Limited

AI Focus

AI Agents / Multi-Agent Systems / Enterprise Automation

Flagship Products

CrewAI; CrewAI Enterprise

Data & Methodology

How AI Talent Matrix interprets this employer

Last Updated

9/5/2026

AI Talent Matrix Confidence

Medium confidence

AI Talent Matrix scores and signals are comparative employer-intelligence indicators and should not be interpreted as guarantees of hiring, compensation, career outcomes, or individual fit.

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