A data processing platform founded by former data scientists at JustEat has raised £1.1 million. 

London-based has been backed by Episode 1, Superseed and angel investors. 

It offers companies the ability to unlock the analytics value in their data without needing to hire data engineers. 

After launching in 2017, the company is already working with scale-ups like The Modern Milkman, Blue Light Card and VROMO. 

CEO Andrew Thomas is a former Data Director at and Head of Data Science at Just Eat. 

His co-founder Matt Sawyer, the start-up’s Chief Data Officer, is a former CDO at, Head of BI at Just Eat and Group Head of Data at momondo. 

The duo realised that companies incurred huge time and financial costs when making their data ready for analysis. That’s why they founded, to help companies leverage the value of the data that they collected.

The capital raised will be used to expand the team, deliver the product road map and to expand its array of data connectors. claims to improve a company’s speed to insight by 10x and save at least $50-80,000 per year on data engineering hires. 

“Most companies now realise that they can’t continue to compete without underpinning decision making with data but when looking to leverage a cloud data warehouse the choice they face is either outsource the processing of data to expensive agencies or hire data engineering and build this internally,” said Thomas.  

With our platform, businesses can put the power of data engineering in the hands of their analysts and achieve a massive acceleration in value in a much shorter time while retaining the valuable knowledge about their own business logic in-house.” 

Simon Murdoch, Partner of Episode 1, added: “kleene is a brilliant solution allowing the data analysts to build and maintain their own data warehouse from their company’s many sources of data.  

Analysts can then focus their time on finding insights to transform the fortunes of their companies. kleene is a great investment not just for our fund but for all our portfolio companies.