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
Green FinTech Disruptor Partners with Brainpool AI to track transaction-level Carbon Footprint.
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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Using Predictive Machine Learning to Forecast FX Fluxuations
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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Information Extraction for the big 4 accountancies
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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HSBC Project Pulse
Finance

HSBC Project Pulse: building cash-flow forecasting for UK SMEs

The challengeGiving UK SMEs a clearer view of their cash flow.
The outcomeSpecialist forecasting brought into an SME cash-flow app.
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Enhancing Kx Systems with Machine Learning
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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