The applications of artificial intelligence in finance are vast. From identifying and extracting valuable data for predictive models or analysing risk, to producing chatbots that make combining billions of data points easy.

The potential is there, it’s knowing how and when to harness AI that financial companies often struggle with, especially in a sector governed by regulation and compliance.

AI Services in Finance


Alternative data creation

Most financial organisations rely on internal or industry-specific data to analyse markets. By using web data, we add alternative data sources to help unearth further analysis and feed data-hungry algorithms.


Customer profiling & targeting

Do you really know your customers? You might know how much they spend with you, but what about targeting new customers who share the same characteristics, or alternative qualities you may not have thought about? AI helps you learn. Using web and social media data and powerful Neural Networks, helping you to understand your perfect customer qualities.


Automated management information (MI)

Financial institutions are usually large, complex beasts, with departments that are burdened with reporting requirements. We can use machine learning to automate MI reports, identifying the most relevant information and serving a summary of a day, week or month’s data in an easy to read document.

AI in Finance Case Study

Quant Insight had complex algorithms that professional analysts could access to predict market movements. But you needed a degree in computer science to understand them. Enter our team 10 who created a retail investor chatbot that could find an answer to a complex mathematical question using just plain english.

Our mission

Skim’s mission is to empower people to use data more effectively and to demisty artificial intelligence. Rather than holding up the common narrative of machines replacing humans, we see how machines can help humans to have easier lives and better businesses.

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