Automation & Scripting
Removing the repetitive manual step that someone on your team does every week.
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Technical & Programming
AI & Machine Learning Implementation
Model development, fine-tuning, retrieval-augmented generation and getting a model out of the notebook and into use.
The gap between a notebook that produces a good metric and a system someone can actually use is usually larger than the modelling work itself.
We handle both ends: sound modelling with honest evaluation, and the packaging, serving and monitoring that turns it into something usable.
What you receive
- Model implementation in PyTorch, TensorFlow or scikit-learn
- Training pipeline with proper validation
- Evaluation against a held-out set with appropriate metrics
- Inference API or batch pipeline
- Documentation of limitations and failure modes
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Technical Documentation
READMEs, API references, architecture notes and user guides written for the person who has to use them.
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Next step
Ready to talk about AI & Machine Learning Implementation?
Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.
- Fixed quote agreed before any work begins
- A reference number you can quote on WhatsApp
- Confidential handling, and an NDA if you want one
- An honest answer if your deadline is not realistic
