Machine Learning & Data Science
Predictive models, recommendations and data-science solutions built in Python and deployed into production.
When your data can predict or recommend, we help you put it to work. We build machine-learning and data-science solutions - and, crucially, deploy them into your product where they create value.
What it is
Custom models and data-science work: predictions, recommendations, scoring, forecasting, anomaly detection and analysis - built on your data.
What's included
- Problem framing and data assessment
- Feature engineering and model development
- Evaluation and validation
- Deployment into your product or workflow
- Monitoring and iteration
Our approach & stack
We work in the Python data ecosystem (pandas, scikit-learn, PyTorch/TensorFlow where needed), and - just as importantly - we ship models to production rather than leaving them in a notebook.
Outcomes
- Predictions and recommendations that drive decisions
- Insight pulled out of data you already have
- Models running live, not stuck in research
Why us
We connect models to real data pipelines and products, so the value actually reaches users.
Tell us what you'd like to predict on WhatsApp.