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These examples show the kinds of problems we work on, the approach we took and what was delivered. Some client details are anonymised to respect confidentiality.

Examples marked “Illustrative” describe typical projects of this kind rather than a specific client engagement.

Illustrative example

Logistics · Mid-sized business

7 weeks · 4 min read

A documentation assistant for an operations team

Replacing an unreliable chatbot prototype with a retrieval-augmented assistant that cites its sources and is measured against a test set written by the people who use it.

  • Python
  • Anthropic API
  • pgvector
  • PostgreSQL
  • FastAPI
  • 87%answers rated correct (from 52%)
  • 150expert-written test questions

Illustrative example

Food distribution · SMB

10 weeks · 4 min read

Weekly demand forecasting for a regional food distributor

Replacing spreadsheet averages with SKU-level forecasts that feed straight into the ordering process, cutting stock-outs on fast movers and write-offs on perishables.

  • Python
  • pandas
  • LightGBM
  • statsmodels
  • SQL
  • Docker
  • 31%lower forecast error vs. baseline
  • 2,400SKUs forecast every week

Illustrative example

B2B SaaS · Product company

8 weeks · 4 min read

Taking a churn model from notebook to production API

Turning a promising but unmaintainable churn model into a tested, monitored service that the product team can call and anyone can retrain.

  • Python
  • scikit-learn
  • MLflow
  • FastAPI
  • Docker
  • AWS
  • <50 msp95 prediction latency
  • 0manual steps to retrain

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