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Industries

Industries we work with

The methods are the same everywhere; the questions aren't. Here's where data science and AI usually help first in each industry.

  • FinTech

    Risk, fraud and growth models for lending, payments and wealth products.

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    • Fraud detection
    • Credit and risk scoring
    • Churn and lifetime value

  • Banking & Financial Services

    Analytics and AI for collections, compliance, customer service and reporting.

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    • Collections prioritisation
    • Document processing
    • Automated reporting

  • E-commerce

    Recommendations, segmentation and forecasting for online stores and D2C brands.

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    • Product recommendations
    • Customer segmentation
    • Demand forecasting

  • Healthcare

    Operational analytics and careful AI for clinics, health-tech and providers.

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    • No-show prediction
    • Document summarisation
    • Operational dashboards

  • Retail

    Forecasting, pricing and loyalty analytics for physical and omnichannel retail.

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    • Store and product forecasting
    • Promotion analysis
    • Loyalty analytics

  • SaaS Companies

    Churn, expansion and product analytics for subscription software.

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    • Churn prediction
    • Product analytics
    • SaaS metrics dashboards

  • Education

    Analytics and AI for edtech platforms, schools and training providers.

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    • Dropout prediction
    • Course assistants
    • Enrolment forecasting

  • Logistics

    Forecasting, routing insight and document automation for logistics and supply chains.

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    • Volume forecasting
    • Delay prediction
    • Document automation

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