Helping businesses unlock the potential in their data.

Hazy is the most advanced and experienced synthetic data company. We accelerate innovation while increasing privacy at some of the world’s leading financial institutions. And we have fun and (sometimes) wear purple doing it.


We were founded in early 2017 by Harry Keen (CEO), James Arthur (CTO emeritus) and Dr. Luke Robinson (CSO). With one foot in big business and the other in academia, Hazy stands on the belief that privacy by design should not slow down innovation.

Originally a UCL AI spin out, London-based Hazy was initially incubated by Post Urban Ventures and CyLon cybersecurity accelerator. Our startup began trying to fix the flaws of traditional data redaction and then data anonymisation. We soon discovered anonymised data will always pose a risk to re-identification.

We looked at the opportunity in applying machine learning to synthetic data, which starts with the basis that with no real data there is no real risk. We pivoted our focus completely to AI-generated smart synthetic data and have worked to make it both differentially private and statistically representative. We quickly discovered that the organisations that would most benefit from smart synthetic data are highly regulated large enterprises with legacy architecture.

Hazy offsite brainstorming

Over the years Hazy has attracted a team of the best data scientists and engineers in synthetic data and privacy, and with roots in regulated industries. Together we are incorporating cutting-edge research as soon as it’s published into production.

We’ve also grown our leadership team including our COO Andrew Keen, who brings more than 20 years’ experience in the enterprise software space.

Together we are all laying the groundwork for an information economy that allows you to work with people’s data while always respecting their privacy.

In 2018, Hazy won the $1 million Microsoft Innovate AI prize for the best AI startup in Europe.

In 2019, Hazy won a number of awards including the Grand Prix at the prestigious Société Générale Banking CyberSecurity Innovation Awards and the CogX Award for Best Innovation In Data Protection And Privacy.

Hazy now works with some of the world’s leading companies, including Accenture, BMW Group and Nationwide, the world’s largest building society. The company is backed by investors including Microsoft (M12), Notion, Amadeus, Albion and Pentland.

Société Générale Banking CyberSecurity Innovation Awards

Proven pioneers

Hazy synthetic data is being generated on-premise and being used in production at some of the best world’s top financial institutions. Our partners and investors believe in our mission to increase privacy and innovation.

Microsoft innovate AI prize

Microsoft innovate AI prize

Societe Generale Innovation Award

Societe Generale Innovation Award

CogX Best Innovation in data protection

CogX Best Innovation in data protection


Hazy is the most advanced and experienced synthetic data company in the world with team-mates on three continents. We use advanced artificial intelligence and machine learning techniques to generate a new type of smart synthetic data that solves the privacy, compliance and access constraints placed on businesses today.

Harry Keen

Harry Keen

CEO & Co-founder
@harry_keen18 Harry Keen

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.

Luke Robinson

Luke Robinson, PhD

Head of Science & Cofounder
Luke Robinson

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.

Andrew Keen

Andrew Keen

Andrew Keen

Andrew Keen has over 20 years’ experience transforming sales, product and service performance to deliver growth in the software industry.

He has directly led sales, customer success, operations, professional services and product teams in corporate and SME organisations to build the operating models to increase revenue and profit. Led global change programmes including restructuring, turnaround, M&A (DD & PMI) and scaling. He specialises in strategy-led growth and building scalable operations to deliver profitable and sustained revenue.

Andrew also has a masters degree in artificial intelligence and an early career in machine learning.

Carl Tishler

Carl Tishler

Chief People Officer
Carl Tishler

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.

Hazy’s partners and investors

Join our team

Hazy is always looking for world class talented team members. If you have data science or ML experience relevant to data privacy or synthetic data and love working on big challenges as part of a close-knit team, feel free to contact us at

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