What does the Machine Learning service include?
We develop custom Machine Learning models — NLP, computer vision, predictive models — for specific business problems that generic tools don't solve.
What's included
- Predictive models (demand, churn, risk, pricing)
- Natural language processing (NLP)
- Computer vision
- Validation, monitoring and retraining of models in production
How we work
We follow the same three-stage process on every project: 360° Diagnosis of your current situation, Solution Design with clear technical architecture and KPIs, and Implementation with short iterations and measurable results from the first weeks, with demonstrable ROI within 60–90 days.
Who it's for
For companies with a specific problem where a generic SaaS tool isn't precise enough, and who have historical data available to train their own model.
Frequently asked questions
How is a custom Machine Learning model different from a generic SaaS tool?
A custom model is trained on your business's specific data and context, which typically delivers higher accuracy than a generic tool trained for general use cases.
How much data do I need to train a Machine Learning model?
It depends on the use case; we assess this in the initial diagnostic. In some cases it's possible to start from pre-trained models and fine-tune them with less data than expected.
Who maintains the model once it's in production?
We offer ongoing monitoring and retraining plans, since a model's performance can degrade over time if it isn't updated with new data.