Usuário(a):Rodrigocampos89/Testes

Deasie

Deasie
Rodrigocampos89/Testes
Atividade	Data Governance, Artificial Intelligence
Produtos	Data governance platform for language models

Deasie Company Logo

Deasie is an American data governance platform that enhances the security and reliability of language model usage within enterprise settings. The platform specializes in creating intelligent metadata to address data governance challenges related to structured and unstructured data, such as sensitive data handling, permission management, and document versioning for language model inputs.

Overview

Deasie aims to ensure language models are fed with data that is relevant, high-quality, and secure. It connects to an organization's various data sources, categorizing them based on content and sensitivity to address challenges related to unstructured data in generative AI technologies.

History

Founded in early 2023 by Reece Griffiths, Mikko Peiponen, and Leonard Platzer, Deasie was established to address the lack of robust data governance tools, identified as a significant barrier to the adoption of generative AI in enterprises. The founders brought their diverse experiences from Amazon, McKinsey/QuantumBlack, and MIT. The founders brought their diverse experiences from Amazon, McKinsey/QuantumBlack, and MIT.

Product

The platform automates compliance and quality checks on unstructured data, employing data tagging to facilitate the secure and efficient use of data in AI models.

Funding

In October 2023, Deasie raised $2.9 million in seed funding from Y Combinator, General Catalyst, RTP Global, Rebel Fund, and J12 Ventures for team expansion and product enhancement.

Market Impact

Deasie has been recognized for its innovative approach to data governance, attracting attention from large enterprises, including Fortune 500 companies, and marking it as a leader in data quality and security for AI models.