Autonomous AI agents startup, CrewAI has secured $18 million in funding, including an inception round led by boldstart ventures and a Series A led by Insight Partners. The funding round also included contributions from Blitzscaling Ventures, Craft Ventures, Earl Grey Capital, and notable AI figures such as Andrew Ng and Dharmesh Shah.
The company’s open-source platform executes over 10 million agents monthly and is utilised by nearly half of the Fortune 500. The company recently partnered with IBM to help enterprises across the US and globally adopt AI agents at scale.
CrewAI was founded by João Moura in January 2023. Moura, who previously directed AI engineering efforts at Clearbit, launched CrewAI shortly after Clearbit’s acquisition by HubSpot.
“This investment is a major validation of our vision: CrewAI is delivering on the promise of generative AI for enterprise, transforming automation by harnessing the power of AI agents,” said Moura in a post on X.
In response to user demand, CrewAI introduced CrewAI Enterprise, allowing large organisations to build, monitor, and iterate on complex AI agents efficiently. The platform has attracted 150 beta enterprise customers in under six months.
New functionalities include self-iteration, performance evaluation, persistent memory, and various agent collaboration structures.
“With the launch of CrewAI Enterprise, we’re making it even easier for large organisations to design, test, and deploy complex AI agents at scale, with high-quality results,” said Moura.
Following a successful private beta, CrewAI has launched its Enterprise Cloud offering, a universal platform that enables organisations to build crews of AI agents suited to their unique workloads. The platform supports any large language model (LLM) or cloud platform, allowing teams to achieve high-quality results.
Built on CrewAI’s popular open-source framework, the Enterprise offering facilitates rapid iterations by providing templates, extensive VIP support, and integrated security features. CrewAI Enterprise allows users to leverage its framework or Crew Studio to create complex multi-agent systems easily.
Organisations can deploy multi-agent automations in a secure production environment while maintaining appropriate access and control measures. They can also track ROI through testing and training tools to continuously enhance efficiency and quality of results.
The new platform enables teams of all sizes to automate workflows and develop AI-agent native features and applications. During the beta phase, CrewAI observed companies utilising the platform to build crews for hundreds of different use cases.
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