Deasie, a startup that aims to provide companies with greater control over text-generating AI models, has announced the successful completion of a seed funding round worth $2.9 million. The funding round saw participation from prominent investors such as Y Combinator, General Catalyst, RTP Global, Rebel Fund, and J12 Ventures.
Founders’ Background and Insights
The founders of Deasie, Reece Griffiths, Mikko Peiponen, and Leo Platzer, previously worked together at McKinsey, where they developed data governance tools. During their time at McKinsey, they observed significant problems and opportunities related to enterprise data governance, specifically in the context of generative AI.
"We saw that there were significant problems around enterprise data governance," Griffiths said in an email to TechCrunch. "We realized that these problems could impact a company’s ability to adopt generative AI."
Their observations are consistent with the findings of a recent IDC survey of over 900 executives at large enterprises, which found that:
- 86% agree that more governance is needed to ensure the quality and integrity of generative AI insights.
- Only 30% of respondents felt extremely prepared or ready to leverage generative AI today.
Deasie’s Solution
Deasie has developed a product that connects to unstructured company data, such as documents, reports, and emails, to automatically categorize them based on their content and sensitivity. The platform uses algorithms to identify relevant information and evaluates the corresponding data in terms of its overall relevance and importance.
"Enterprises have enormous volumes of unstructured data that have rarely received any attention from a governance perspective," Griffiths explained. "The probability that language models retrieve answers that don’t make sense, or are exposed to sensitive information, scales with the volume of data."
Deasie’s platform ensures that only high-quality and relevant data is fed into generative AI applications.
Key Features
Here are some key features of Deasie:
- Automated Data Categorization: Deasie connects to unstructured company data and automatically categorizes it based on its content and sensitivity.
- Algorithms for Relevance and Importance Evaluation: The platform uses algorithms to identify relevant information and evaluate the corresponding data in terms of its overall relevance and importance.
- Data Governance: Deasie ensures that only high-quality and relevant data is fed into generative AI applications.
Future Plans
Deasie plans to use the funding to further develop its product and expand its team. The company aims to become a leading provider of tools for controlling generative AI models.
"We’re excited to have the support of such experienced investors," Griffiths said. "With this funding, we’ll be able to accelerate our development and bring our solution to market even faster."
Deasie’s success highlights the growing importance of data governance in the context of generative AI. As companies continue to adopt these technologies, they will need to ensure that their data is accurate, reliable, and secure.
