Services
Machine learning
Machine learning is useful when there is a specific problem, suitable data and a way to measure the result. We assess whether it makes sense, build the model and take it into production where the company can use it.
What we do
- Feasibility assessment: problem, available data and expected benefit
- Data preparation and choice of the simplest approach that works
- Training and verification of models against agreed metrics
- Deployment, integration into systems and monitoring over time
- Documentation of limits and of the correct use of the model
When it helps
- You need classifications, forecasts or recommendations on volumes that cannot be handled by hand
- There is a history of data a model can learn from
- You want to know whether machine learning is really worth it compared with simpler rules
- A model exists but is not in production or is not monitored
What you get
- Feasibility study with an honest recommendation
- Trained model verified with clear metrics
- Integration and deployment
- Monitoring and guidance to keep it up to date
Other services
Let's talk about your case
Tell us about the process or decision you want to improve: we will reply with an initial assessment, with no obligation.