
We build analytics solutions that are as flexible as your data. Depending on your needs, we can design and deploy:
Descriptive and diagnostic analytics – Using SQL, Python, or R to explore trends and identify root causes.
Predictive models – Machine learning models like regression, decision trees, random forests, and gradient boosting to forecast outcomes or spot emerging risks.
Prescriptive analytics – Optimisation models and scenario simulations that recommend the best course of action, rather than just describing what happened.
Natural language and unstructured analytics – Leveraging Python and Spark for text, sentiment, and image analysis to extract insights from reports, social content, or documents.
Custom AI and deep learning models – Deploying TensorFlow, PyTorch, and generative AI frameworks for complex tasks such as classification, anomaly detection, and content generation.
We can deploy these models in ways that suit your environment – from cloud-based pipelines to embedded decision engines in your applications.
Our focus is on practical, explainable analytics. We’ll ensure your team can trust and act on the results, whether that means visualising outcomes in Power BI, integrating into operational workflows, or triggering real-time actions via APIs.
With Pragmaticians, advanced analytics isn’t just clever code – it’s insight you can use to make better, faster decisions.