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22 May 2026, 11:28 AM – 05 Jul 2026, 11:28 AM
AI & Data SolutionsAI-Enhanced
Machine Learning & Predictive Analytics
End-to-end ML — data pipelines, model development, MLOps and production deployment — for forecasting, recommendation, classification and anomaly detection.
Overview
We help organisations apply machine learning to deliver measurable business value. Our ML practice covers the full lifecycle: data engineering and feature stores, exploratory analysis and experimentation, model training and hyperparameter optimisation, and production deployment with MLOps pipelines.
We build solutions for demand forecasting, churn prediction, customer lifetime value, fraud detection, anomaly detection, pricing optimisation and inventory planning. Our team works with structured, unstructured and time-series data using modern frameworks (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow) and cloud ML platforms (SageMaker, Vertex AI, Azure ML).
What We Offer
Predictive Modelling & Forecasting
Recommendation Engines
Fraud & Anomaly Detection
Customer Segmentation & LTV
Pricing & Inventory Optimisation
Feature Engineering & Feature Stores
MLOps Pipelines (MLflow, Kubeflow, Vertex AI)
Model Monitoring & Drift Detection
A/B Testing Framework
Responsible AI & Bias Audits
How AI Powers This Service
MLOps & model governance built-in:
• Experiment Tracking — automated logging of params, metrics and artifacts
• Model Registry — versioning, staging and approval workflows
• Drift Detection — data and concept drift monitoring with automated alerts
• Automated Retraining — scheduled and trigger-based retraining pipelines
• Explainability & Fairness — SHAP, LIME and bias audits for regulated models