About Us
We are committed to providing a tool that labels data better than any human
Deasie 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.
Tony began his career as a contributor to a reputable open-source ecosystem focused on distributed systems, followed by time building large-scale software at Amazon. At Deasie, Tony focuses on ensuring reliability and scalability of Deasie’s product. Tony graduated from the University of Waterloo with a Bachelor of Computer Science degree.
Across her time at Uber as well as various early-stage AI companies, Sitong has spent many years building and deploying NLP and LLMs in a production environment. At Deasie, Sitong focuses on optimizing model precision and accuracy, and holds an engineering degree from Columbia University, New York.
David has built and deployed software for leading US bank, Morgan Stanley, and AI solutions utilized by the US Department of Defense. David specializes in building scalable, deployable, and enterprise-ready cloud native software, and holds a degree in computer science from Northeastern University.
Isabelle's background sits at the intersection of technology and design, with a multi-year track record of guiding more than thirty Fortune 500 enterprises in successfully adopting and scaling cutting-edge technology platforms.
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.