Deasy Labs

Metadata for GenAI workflows

Y CombinatorSummer 2023AcquiredB2BAnalyticsArtificial IntelligenceData LabelingBig DataAI Assistant

What they do

Problem

AI teams struggle to create and manage high-quality metadata needed to make GenAI workflows accurate, reliable, and production-ready without heavy reliance on domain experts.

Solution

A metadata orchestration platform that lets teams generate, customize, and embed metadata into GenAI workflows such as RAG and agentic frameworks.

Who it's for

Enterprise AI and data teams building and operating GenAI applications and workflows.

Founders

Reece Griffiths

Founder

Co-founder of Deasy Labs (YC S23): Data governance for language models in the enterprise. Exited Deasy Labs to Collibra in < 2 yrs (global leader in data governance). My documented startup journey: https://reecegriffiths.substack.com/ Prior experience: QuantumBlack: Product Manager for AI for Data Governance product (1.5 yrs); McKinsey & Company: Management consultant (2 yrs); X26: Founder of X26 (global entrepreneurs community); University of Cambridge: Masters in information engineering.

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Mikko Peiponen

Founder

Mikko is the co-founder of Deasie. He is a technologist with deep experience (5+ years) in data and machine learning space from McKinsey and QuantumBlack, where he implemented and deployed models at large enterprises. Prior to moving into the world of data governance for language models with Deasie, he was the Lead data scientist building AI data quality tool at QuantumBlack. Mikko holds a graduate degree from MIT.

Leonard Platzer

Founder

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