Hazy
Synthetic data generation that preserves customer privacy and data utility
Profile
Hazy is redefining the way organisations use and share data across boundaries, borders and silos. We help financial services and other well-regulated industries unlock the value in their data. Hazy synthetic data generation lets you create business insights across company, legal and compliance boundaries – without moving or exposing your data. Our synthetic data use cases include: cloud analytics, external analytics, data innovation, data monetisation, and data sourcing. Hazy is the first synthetic data company to generate high-quality, production-ready synthetic transaction data, and is being used at well-regulated organizations including Nationwide Building Society, Accenture, BMW and the UK government
Led by
Harry Keen, Co-founder and CEO
Tim Budden, CTO
Tim is a CTO with a strong product focus who loves getting close to the customer problem. He began in software engineering and systems architecture at Clearstream in financial services where he was SVP of development, and designed, built and operated real-time settlement and financing systems. He was Head of Data Science at DataSift where he built innovative social media analytics products with strong privacy guarantees that ran inside Facebook and LinkedIn. On DataSift’s acquisition by Meltwater, he ran the Applied AI team applying Meltwater’s own corporate knowledge graph to investment risk and sales intelligence use cases. Before joining Hazy he was CTO at Sensat, building digital replicas of real-world locations for the Architecture Engineering and Construction sector.