We design, train, and integrate machine learning models specifically aligned to your business objectives. Leveraging both traditional and deep learning techniques, we deliver transparent, high-accuracy solutions with scheduled retraining to keep pace with evolving conditions.
Off-the-shelf analytics can’t capture your organization’s nuances. Without tailored models, you risk generic insights, missed opportunities, and underutilized data assets.
A custom-built machine learning pipeline that transforms raw and enriched data into actionable predictions—enhancing decision-making, optimizing processes, and unlocking new growth opportunities.
Derive metrics such as growth rates and engagement signals to spotlight key drivers, and prioritize inputs to maximize model precision and interpretability.
Evaluate algorithms—logistic regression, decision trees, random forests, gradient boosting—and optimize hyperparameters for balanced accuracy and explainability.
Validate against historical data (Accuracy, AUC-ROC, F1, RMSE, R²) and provide clear factor-importance insights using SHAP or similar tools.
Implement semi-annual retraining cycles to adapt to market or data shifts, with automated drift detection to trigger model refreshes seamlessly.
Expose real-time API endpoints for on-demand predictions and background processing services for batch scoring, persisting outputs in your database for downstream use.
Traditional ML handles classification, regression, risk scoring and cross-sell detection; Deep Learning tackles time-series forecasting, anomaly detection and sentiment/text analysis.
Leverage tailored predictions to guide critical business decisions.
Automate scoring and risk assessments, freeing teams for higher-value work.
Maintain performance through scheduled retraining and drift monitoring.
Understand why—and how—models arrive at their predictions.
We replaced costly, unreliable tools with a custom Azure Databricks pipelines that unifies CRM and market data into a clean Delta Lake. A bespoke ML cross-sell model now fuels predictive recommendations and automated next-best-actions within the CRM, accelerating deals and boosting revenue.