Improve Efficiency, Increase Revenues

AI in Fintech

Most fintech companies have managed to gain market share because they have successfully automated and modernised traditional processes that established financial institutions were slower to enact. By leveraging machine learning, entrepreneurial fintech firms are gaining competitive advantages and disrupting the status quo. TurinTech empowers fintech companies to build accurate AI at scale, with minimum effort, and thrive in critical sectors such as lending, security, payments system and compliance.

USE CASES

Top AI use cases in Fintech

Fintech firms are using AI to combat fraud, gain hidden customer insight, supercharge data security and personalise customer experience.

Payments
  • Automate transaction classification for deeper customer insights
  • Reduce risk of customer loan fault detection with accurate predictions
  • Predict credit card defaults to prevent losses

Security
  • Detect transactional fraud faster with minimum false alerts
  • Better user access control to ensure data security
  • Classify money laundering risk quicker, with better accuracy

Customer Experience
  • Identify product co-selling opportunities to increase revenue
  • Customer segmentation for hyper-targeted messaging
  • Predict customer churn and recommend effective retention initiatives

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Read all Use Cases
TurinTech
Posted by TurinTech
November 18, 2021
Banking and Finance Fintech Healthcare Insights Insurance Use Cases
3 min read

Fraud Detection

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TurinTech
Posted by TurinTech
November 18, 2021
Banking and Finance Fintech Insights Insurance Retail and Consumer Goods Use Cases
4 min read

Customer Churn Prediction and Prevention

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TurinTech
Posted by TurinTech
November 18, 2021
Banking and Finance Fintech Insights Insurance Retail and Consumer Goods Use Cases
3 min read

Supercharge Customer Complaints Management

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OUR PARTNER NETWORK

We are pleased to work with amazing partners

We worked with our partners to deliver ever more innovative, effective and successful solutions. Their support has been vital in achieving the new generation of AI.

Testimonials

What do companies
say about us?

“A first and essential step in doing this (deploy optimal ML in production) is to optimise ML models and integrate them using scalable production code into the rest of the IT stack. Companies like TurinTech are early pioneers offering this capability.”
Ed Stacey

Managing partner at IQ Capital, Forbes Contributor

“This partnership signals an exciting opportunity to combine the forces of TurinTech and Exasol to help more enterprises scale AI and unlock its full potential.”
Stuart Power

Partner Manager, UK & I at Exasol

“TurinTech’s state of the art technology is now using AI to improve the way software itself is actually crafted. This represents one of the first steps in the exponential impact that AI can have. In the context of cloud it will materially improve efficiency costs and running speeds”
Jason Kingdon

Chairman & Chief Executive Officer of Blue Prism