Artificial Intelligence
Off-the-shelf models rarely solve industrial problems, because every organisation has different data, conditions and definitions of success. We define the problem with you, prepare the data and build a model that is tested on your real data and fits the way your team already works.
Ask about this serviceWhat you receive
- A problem definition with measurable success criteria
- Data cleaning, labelling and versioning
- Detection, classification, forecasting and anomaly models
- Model optimisation for servers or edge hardware
- Performance monitoring and retraining after deployment
How it's done
Define the problem
We agree on the goal, the available data and a measurable definition of success.
Prepare the data
Data is cleaned, labelled and split into training, validation and test sets.
Train and evaluate
We compare several architectures and measure the best model on held-out test data.
Deploy and monitor
The model runs on a server or edge device, and its performance is tracked over time.
Where it's used
- Production line quality control
- Aerial and satellite image analysis
- Equipment failure prediction
- Crop monitoring
Have a problem that needs solving? We'll test the solution on real data.
Write a few lines about your project and the Fanrob team will get in touch.
Ask about this service