Unit10, Oxford Office Park, 3 Bauhinia St, Highveld, Centurion, 0157
+27 (0) 12 884 6077
info@digik.co.za.
We conduct a comprehensive AI maturity assessment and co-create a practical, phased AI roadmap tailored to your industry, data estate, and compliance needs (POPIA, financial regulations). Leveraging our deep experience with SARB and Eskom-scale projects, we identify quick wins in predictive maintenance, revenue forecasting, risk analytics, or customer insights — ensuring every step delivers measurable business value.
Using your existing data platforms (or building new ones), we design, train, and deploy custom ML models for demand forecasting, equipment failure prediction, credit risk scoring, churn analysis, and more. Technologies include Azure Machine Learning, Databricks, Python/R, and integration with your current BI tools — all delivered with our proven Agile methodology and full MLOps governance.
We implement private, compliant Generative AI solutions using Azure OpenAI, custom LLMs, or open-source models. Applications include intelligent document processing, automated report generation, knowledge assistants for internal teams, and customer-facing chatbots. All solutions are fully governed, auditable, and integrated with your existing Microsoft, Oracle, or cloud environments.
Augment your current Power BI, Tableau, or OBIEE dashboards with AI: natural-language querying, automated insight generation, anomaly detection, and predictive what-if scenarios. We turn your BI investment into an intelligent decision engine - exactly as we did with real-time financial stability insights for the South African Reserve Bank.
End-to-end MLOps pipelines for model deployment, monitoring, retraining, and versioning - whether on Azure, AWS, or on-premise. We embed Responsible AI practices (bias detection, explainability, audit trails) and POPIA-compliant data handling from day one, giving you enterprise-grade confidence and regulatory peace of mind.
We deliver targeted solutions such as predictive grid maintenance (Energy), fraud detection and macro-economic modelling (Finance), asset optimisation and ESG reporting (Mining), and regulatory analytics (Government). Every solution starts with your real-world data challenges and our 28-year track record in these exact sectors.