What we build
Mertech develops machine learning systems that solve concrete engineering and scientific problems rather than demos. We select the simplest model that meets the requirement, then scale up only when the data justifies it.
- Computer vision for inspection, microscopy and medical imaging
- Time-series and signal models for sensors and biomedical recordings
- Predictive models for engineering and biological data
- Embedded AI that runs on low-power hardware
How we work
- Define the metric. We agree what success means before training anything.
- Prepare the data. Cleaning, labelling and leakage checks come first.
- Train and validate. Cross-validation, ablations and an untouched test set.
- Deploy. Packaged models, monitoring and a documented retraining path.
Typical deliverables
| Deliverable | Description |
|---|---|
| Trained model | Versioned weights with reproducible training code |
| Evaluation report | Metrics, error analysis and limits of use |
| Deployment package | API, container or embedded firmware build |
Related: Data Analytics and Biomedical Engineering.