Why we exist
We’re supercharging the information economy
Hazy sets enterprise data free. Our technology re-engineers data to make it faster, easier and safer to use, helping to power the new global economy.
Why we exist
Hazy sets enterprise data free. Our technology re-engineers data to make it faster, easier and safer to use, helping to power the new global economy.
Hazy was the first company to take synthetic data to market as a viable enterprise product. With links to academics from the Alan Turing Institute and UCL, our research team continues to stay on the cutting edge of synthetic data.
Explore our research papers:
ICLR 2023
We propose the first synthetic data generation framework of datasets with many-to-many relationships. We also extend our framework to ensure a formal privacy guarantee.
https://openreview.net/forum?id=Q120_4COf-K
ICML 2022
We analyse the impact of differential privacy on generative models vis-a-vis underrepresented classes/subgroups of data, specifically, studying their corresponding size and utility in the generated synthetic data.
https://arxiv.org/abs/2109.11429
TPDP 2022, part of ICML 2022
We introduce a user-friendly open-source python library for differentially private synthetic data generation relying on autoregressive modeling (code: https://github.com/hazy/dpart).
https://arxiv.org/abs/2207.05810We’ve been working with enterprise clients from day one. Our product can handle large datasets within the most complex and regulated environments in the world.
We develop our tech to be used in production, not in labs. It integrates into your infrastructure and works directly beside your source data for maximum security.
From banking to government, Hazy is trusted by leading organisations to use synthetic data to deliver real results, powering their innovation and growth.
Awards
The impact of our synthetic data across the most complex and regulated production environments has been recognised in leading market analysis.
Harry Keen is the co-founder and CEO of Hazy, a synthetic data company helping customers unlock rapid innovation by removing the privacy and security concerns from their raw data.
Harry has a masters in engineering from the University of Bristol and spent his early career working in and founding technology startups from open source digital manufacturing to machine learning-powered travel recommendation engines.
Since 2017, Harry has closed $9 million in funding for Hazy from backers including Microsoft, Notion, Albion and Nationwide Building Society.
Dr. Luke Robinson helps build deep tech companies to address global challenges and big market opportunities. His passion is finding ways to bring exceptional people together to solve problems others think are impossible.
Originally from Australia, Luke’s experience covers a range of fields that include quantum computing, neuroscience, machine learning and artificial intelligence, algorithm development, robotics, laser optics, semiconductors, renewables and quant finance.
Companies he’s helped build include; Hazy (synthetic data), Earth Rover (autonomous farming), LGN (distributed ML & sensor fusion), Thrive (chicken farming AI), Sunfish (concentrated photovoltaics) and Easy Legal (legal software). Luke’s academic background covers quantum computing, neuroscience, AI, mathematical ecology and evolution.
Carl’s focus as the Chief People Officer is on helping build high-performing, people-centric businesses with a mission-based grounding.
Carl has been an investor, principal, advisor and board member of renewable energy, software and infrastructure companies, and spent the first eight years of his career at JPMorgan in M&A and capital raising.
Carl served as an Advisory Committee Member at the U.N. Principles for Responsible Investment and is a graduate of Haverford College.
Peter is VP Engineering at Hazy. He leads the technical side of the business and focuses on infrastructure design and the technical strategy of Hazy’s software.
Peter has over 15 years of experience building secure data intensive systems for SMEs and large corporates. Prior to joining Hazy, he worked as a software engineer in Facebook, Oracle and Business Optics.
Peter has a BSc degree in Mathematics and Computer Science, and a BSc Honours Degree in Computer Science from the University of Cape Town. He works across the stack from C/C++ to Python or JavaScript (low-level and high-level languages). One of Peter’s favourite hobbies is hiking.
We're ambitious. We want to be the best without compromising our beliefs.
We're part of a community. We’re proactive and engaged in shaping our culture.
We listen and take the time to understand, innovate, share and adapt.
We communicate clearly and make considered decisions. We’ve got it under control.
We don’t want to miss out on great talent. If you don’t see a role but you have the skills to support our mission, send us your CV anyway.