We work primarily with structured data (tabular and time-series). If your dataset is limited, we can enrich it using synthetic data or transfer learning techniques.
It depends on your use case. We can work with limited datasets and apply data augmentation or generate synthetic data to reach the necessary thresholds. Contact us for an evaluation of your case.
If you have an internal data team, we’ll collaborate with them.
Yes. Backwell Tech works exclusively with anonymized data and offers on-premise deployment to meet your security requirements.
We handle both classification (e.g. churn, conversion probability) and regression (e.g. demand forecasting, pricing sensitivity). Every prediction is accompanied by recommended next steps.
Absolutely. We integrate seamlessly with folders, data lakes, APIs, or cloud buckets.
Yes. Our platform handles millions of records and hundreds of features across different sources, whether in batch or real-time.
We use key metrics such as precision, recall, F1 score, MSE, and MAE to monitor and validate model performance. Post-deployment, predictions are continuously evaluated and models retrained when needed.
We divide data into training, validation, and test sets to avoid overfitting and ensure real-world reliability.
Yes. The system monitors performance and can trigger retraining automatically if drift or degradation is detected.
Our framework supports both single models and ensembles (multiple models combined), depending on what delivers the best results.
Yes. Our Explainable AI (XAI) modules provide feature attribution, decision traceability, and score breakdowns, enabling both technical and business users to trust the outputs.
We include bias detection during training and regularly assess prediction fairness across feature groups.
We support organizations in manufacturing, logistics, energy, finance, and beyond, especially those looking to scale predictive insights and automation.
Timelines vary, but after initial training and setup, predictions and recommendations can run in near real-time. We’ll work closely with you during onboarding to streamline this.
Pricing depends on factors like data volume, training complexity, and deployment type (on-premise). Contact us for a tailored quote.
