Data assessment
A frank look at whether you have enough clean, labelled data for the problem.
What's included
From raw data to a model you can rely on
Model development
Predictive, classification, regression and forecasting models, compared against a simple baseline.
Evaluation you can read
Metrics tied to the business decision, plus a breakdown of where the model gets it wrong.
Hand-off into your product
A documented, versioned model behind an API or batch job, ready to deploy.
Overview
Most ML projects fail at the hand-off, not the maths
We've seen plenty of ML projects finish as a notebook with a nice accuracy score that nobody ever wires into the product. So we start from the other end. What decision should the model improve? Can your data actually support it? Only then do we build anything.
Typical jobs are predicting churn or demand, scoring leads, sorting records into categories and estimating prices. If a simple baseline does the job, that's what we'll recommend.
Tools & platforms we use
- Python
- scikit-learn
- XGBoost
- PyTorch
- pandas
- Jupyter
Questions
Common questions about machine learning projects
4 questions
How much data do we need?
It depends. A few thousand good rows is enough for some tabular problems. Image and language work needs more, or starts from a pre-trained model. We look at your data before we quote.
Do we really need machine learning for this?
Not always. Sometimes a few rules or a simple statistical method does the job, costs less and is easier to explain. If that's your case we'll tell you.
Can you work with our existing data team?
Yes. We can work next to your analysts or engineers, or take it end to end and hand over documented code.
How do you know the model is good enough?
We agree the target number first, test on data the model has never seen and compare against how you do it today. 'Good enough' ends up as a number.
Quick question?
Ask us about Machine Learning Development
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Ready to get started?
Tell us what you want to predict.
Describe the decision and the data you have. We'll reply with a straight answer on feasibility and a fixed estimate.
We'll redo the first milestone at no cost if it doesn't match the brief.
NDA signed before we see anything. Delivered under your brand.