
Deasy Labs provides a cutting-edge platform for creating and leveraging metadata within AI workflows, enabling enterprises to efficiently manage unstructured data. Their solutions include auto-suggested metadata generation, hierarchical metadata structuring, and intelligent retrieval agents, which enhance data quality and relevance for AI applications. With a strong focus on data governance and automation, Deasy Labs aims to transform knowledge management in organizations, making it easier to integrate and utilize metadata at scale. The company is backed by a team of experts from McKinsey & Company, positioning it as a leader in the AI and data management space.

Deasy Labs provides a cutting-edge platform for creating and leveraging metadata within AI workflows, enabling enterprises to efficiently manage unstructured data. Their solutions include auto-suggested metadata generation, hierarchical metadata structuring, and intelligent retrieval agents, which enhance data quality and relevance for AI applications. With a strong focus on data governance and automation, Deasy Labs aims to transform knowledge management in organizations, making it easier to integrate and utilize metadata at scale. The company is backed by a team of experts from McKinsey & Company, positioning it as a leader in the AI and data management space.
Founded: 2023
Headquarters: San Francisco, United States
Product: AI platform for auto-tagging, hierarchical metadata, and relevance-ranking of unstructured enterprise data
Seed funding: $2.9M (announced Oct 12, 2023)
Team size (reported): 8 employees
Unstructured enterprise data management, metadata generation, and data governance for AI applications.
2023
Artificial intelligence / Data governance
$2.9M
Seed round included participation from Y Combinator, General Catalyst, RTP Global, Rebel Fund, and J12 Ventures
“Raised seed with participation from notable early-stage investors including Y Combinator and General Catalyst”