AI case studies in Finance

Explore how Brainpool applies AI and machine learning to financial challenges, from FX forecasting and cash-flow prediction to carbon tracking and document information extraction. These projects show how tailored AI can help financial organisations analyse complex data, identify patterns and support better-informed decisions.

5 case studies
Finance

Transaction-level carbon footprint tracking

The challengeTurning bank transaction data into a personal carbon footprint, with every purchase classified automatically.
The outcomeFCA-regulated app live on iOS and Android
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Finance

Predictive machine learning for FX forecasting

The challengeA large Japanese bank needed more accurate near-term forecasts of currency movements.
The outcomeFX prediction accuracy up from 52% to 56%
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Finance

Information extraction for a Big 4 accountancy

The challengeA forensics department needed to extract information faster from Word, Excel, PowerPoint, email and PDF files.
The outcomeStrategy for an NLP document-processing platform
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Finance

HSBC Project Pulse

The challengeSurfacing coordinated market abuse that rule-based systems miss, with fully auditable detections.
The outcomeForecasting models and detection tools for UK financial services
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Finance

Enhancing Kx Systems with machine learning

The challengeKx Systems wanted machine learning available inside its kdb+ time-series database.
The outcomeOpen-source ML libraries built into kdb+, enabling more automation
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