Deeper Insights secures $2.4m funding to support ambitious growth plans to help more organisations unlock the value of AI

London, England: Deeper Insights, the leading AI and Data Science consultancy, has secured over $2.4 million in new funding to support the company's ambitious roadmap for growth over the next 12 months.

The new investment brings the total funding raised to $5.7 million since inception and will be used to support new product launches and increase the company's global footprint in the USA, EMEA and APAC. In addition, Deeper Insights will expand its specialist Data Science teams and Natural Language Processing (NLP) and Computer Vision capabilities, to bring even more value to clients.

Since launching in 2018, Deeper Insights has helped numerous global enterprise organisations and fast-growing emerging brands unlock the value of AI, designing and implementing innovative AI solutions that solve some of the toughest human problems across healthcare, real estate, financial services, government and more.

Its forthcoming product launch - a next-generation, cloud native Unstructured Data Intelligence platform (UDI) - will enable organisations to automate their unstructured data onboarding and processing saving valuable time and cost and crucially, accelerating access to the world of AI and ML across their business.

Jack Hampson, Founder and CEO of Deeper Insights commented: “It's an exciting time for the brand as we begin scaling for growth in 2022 and expand into new markets. AI adoption is growing exponentially, particularly in accelerating digital transformation in industries where data is hugely complex and largely unstructured, rather than machine readable. By growing our UDI, AI and ML capabilities, more organisations can derive greater insights from their data and deploy the value directly into their daily operations.”

AI powered solutions are expected to grow to $62BN in 2022 according to Gartner, an increase of over 20% on the previous year, which will further propel Deeper Insight's growth.