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Sorrel was launched to empower businesses to make sense of customer reviews and feedback

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Drawing on time in the restaurant and customer experience sectors, Sorrel co-founders Sam and Bobby recognised that analysing customer reviews had become overwhelming and methods were outdated. With the sheer wealth and location of review data, it was impossible for businesses to process data manually and analyse with speed or accuracy. 

 

Sorrel’s technology represents a new age of review analysis and, by analysing immense amounts of data at scale, helps businesses make better decisions and evolve in a way that their customers want.

BACKGROUND

Sam Cadogan,
CEO and Co-Founder

Sam has owned, operated and advised a wide range of early stage startups. He has a background in venture capital and Mergers and Acquisitions and is a Chartered Accountant. 

Sam started his career at Deloitte, training as a Chartered Accountant within their Mergers and Acquisitions team. 

Moving into venture capital, Sam was able to combine his passion for developing early stage businesses with his background in corporate finance. Working with a wide range of startups, Sam gained a deep understanding of how successful businesses scale whilst delivering innovative technology to address industry challenges.

 

Sam owned and operated a London based restaurant business, where he gained an understanding of the challenges faced by consumer business owners when improving their business in a way which resonates with customers. 

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BACKGROUND

Bobby Lowe,
CTO and Co-Founder

Bobby is a Natural Language Processing (NLP) Data Scientist with a PhD in Organic and computational Chemistry. 

 

After his studies, Bobby joined Iris Concise where he consulted for numerous brands, including the Hotel chain IHG, using NLP to analyse customer review data from over 350 UK Hotel branches. After Iris, Bobby went on to join PEP Health, a health-tech start-up, where he specialised in sentiment analysis for patient experience.

 

From the outset of his career, Bobby learned the significant value of customer feedback and its robust analysis. He also witnessed the array of businesses not acting upon customer feedback - as the data was often hard to process and make sense of. 

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