Deasie is the data guide for large language models, leading to chatbots that actually work.
Data is blocking GenAI: Most companies possess enormous volumes of unstructured data (e.g., reports, contracts, email chains) that can now be leveraged for chatbots, knowledge assistants, content generation tools etc. However, an existing lack of data governance means that AI applications are being fed with data that is: irrelevant, out of context, out of date, sensitive/not safe, conflicting and so on. These applications are unreliable and unsafe.
Enter Deasie: By intelligently breaking down and tagging the contents and sensitivity of the thousands of documents across your company, Deasie ensures that language models are only fed with relevant, high-quality and safe data. With Deasie’s out-the-box application layer, companies can quickly spin up e.g., chatbots, that can be trusted and are ready to move into production.
Built by data experts: Our founding team are xMcKinsey, MIT & Amazon, and previously led the build of McKinsey’s flagship ML data quality tool that we deployed with 10+ Fortune 500 companies. Deasie is backed by a number of the world’s leading institutional investors, including Y Combinator & General Catalyst.