Tag: Quantexa

Quantexa, data analytics firm, has scored £103.9m in a Series E funding round, lifting its valuation to $1.8bn and becoming a unicorn. 

MNT-Halan, an Egyptian digital lender, revitalised the FinTech unicorn population in 2023 after their latest $400m private equity round, led by Chimera Investment. The...

Quantexa, a developer of decision intelligence (DI) solutions, has acquired Ireland-based Aylien, which builds NLP and advanced AI tools for data to collect, analyse and understand unstructured data.

Holistic views of integrity risks within the supply chain allows teams to reduce the potential for illicit activity to slip through the net, according to Quantexa.

According to data and analytics software company Quantexa, insurers are taking on a single customer view strategy, however there are different interpretations of what this means.

With the world in the midst of a very turbulent market, Quantexa has offered advice as to how companies can achieve growth and manage risk during this time. The secret is using all available information and data to anticipate and respond to new risks and emerging opportunities.  

Quantexa, a developer of contextual decision intelligence (DI) solutions, has opened its new technology and analytics hub in Malaga Tech Park, Spain.

Combating fraud continues to be a major challenge in the UK. Last year, over £1.3bn was stolen by fraudsters in the UK in 2021, according to Feedzai. However, technology is still making a change.

Innovation in the insurance industry is not just important, it is essential. A more dynamic market has meant insurers are venturing into non-traditional sectors as well as looking for more advanced ways of serving existing markets. The industry must ramp up its innovation efforts if it is to tackle increasingly threatening risks, such as climate events and cyber-attacks.

For as long as insurance has been around, criminals have been committing insurance fraud. With increasingly sophisticated fraud activity, insurers are turning to artificial intelligence and machine learning. However, they must develop standards to prevent unfair discrimination and remove any bias in these technologies.