About Deasy Labs
Deasy Labs was acquired by Collibra in July 2025 (global leader in enterprise data governance).
Deasy Labs provides metadata orchestration for AI workflows. Deasie's platform provides the best way for AI teams to create and embed high-quality, customized metadata into their AI workflows (e.g., RAG, Agentic frameworks).
Our three founders (from Amazon, McKinsey/QuantumBlack & MIT) previously built an ML data governance tool from 0 to 1 within McKinsey, which we deployed with 11 Fortune 500 companies. We saw in early 2023 the ability to create high-quality metadata (without reliance on domain experts) would be a key factor in achieving the accuracy & speed in GenAI applications required for production.
Our investors include General Catalyst, Y Combinator, RTP Global and world experts in enterprise data. Website: https://deasylabs.com
Company details
Funding
Total raised
$3.5M
Last stage
Acquired
Investors
Founders
Mikko Peiponen
Lead Data Scientist at McKinsey/QuantumBlack with 6+ years in data science and ML. Holds a graduate degree in quantitative finance from MIT.
Reece Griffiths
Product Manager at McKinsey/QuantumBlack leading the build of McKinsey's flagship AI data quality product. Masters in engineering from the University of Cambridge.
LinkedIn
Leonard Platzer
Co-founder of Deasy Labs: The Metadata Engine for search usecases. Prior experience: QuantumBlack: Software Engineer, Machine Learning at AI for Data Quality product; Previous Engineer at Amazon, Mercedes-Benz and ChatBot Startup (E-Bot 7); Bachelor from National University of Singapore and Graduate from UWC Mostar
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