01Data Audit & ScopingWe assess your real-world sensor or IoT dataset — quality, gaps, sampling rates — and define measurable prediction objectives aligned with your engineering goals.

02Model Architecture DesignSelection and justification of deep learning architectures (LSTM, Transformer, CNN-hybrid) suited to your signal type — time-series, multivariate, or event-driven.

03Training, Evaluation & TuningRigorous model training on real data, with cross-validation, error analysis, and hyperparameter optimisation. Benchmarked against baseline statistical models.

04Technical Writing & Reporting All methodology, findings, and model behaviour documented in clear, structured technical prose — ready for submission, client delivery, or internal knowledge transfer.