About Us
We are committed to providing a tool that labels data better than any human
Deasy Labs was founded by a team of data experts who, after building McKinsey & Company’s flagship AI data quality platform, realised the immense untapped value of unstructured data within the enterprise.
As a product manager within McKinsey’s data & AI practice, QuantumBlack, Reece previously led the build of McKinsey’s flagship AI data quality product. Prior to this, Reece spent several years serving McKinsey’s Fortune 500 clients on data transformation topics, and holds a masters in engineering from the University of Cambridge.
Leo began his engineering career at a chatbot startup, before moving to Amazon and then eventually QuantumBlack - where he was the Machine Learning engineer on McKinsey’s award-winning data quality platform. Leo holds a degree from the National University of Singapore.
Mikko spent more than 6 years serving global leaders on data science topics within McKinsey’s data and risk practices, before leading the build of McKinsey’s flagship ML-based data quality product. Mikko holds a graduate degree in quantitative finance from MIT.
We are proud to be backed by a group of visionary investors who believe in our mission to transform unstructured data management with AI.
Our mission is to empower businesses and organizations with cutting-edge AI tools that simplify and enhance data labelling. We strive to provide a platform that not only meets the diverse needs of our users but also transforms the way they interact with their data, driving better decisions and insights.