We help energy and resource organisations design robust data foundations, deliver operational analytics, and enable teams with practical AI capabilities.

Data Pipelines & Platforms

We design and build reliable data pipelines and platforms that support operational decision-making in asset-intensive environments. Our focus is on transforming raw operational and subsurface data into trusted, analytics-ready datasets that can be used confidently by engineers, geoscientists, and operations teams.

Our work covers batch and streaming pipelines, data integration across systems, data quality and observability, and scalable architectures that work across on-premise, cloud, and hybrid environments. The emphasis is always on robustness, maintainability, and production readiness.

Data pipelines

  • Operational data ingestion and integration

  • Scalable batch and streaming pipelines

  • Data quality, validation, and observability

  • Cloud, on-premise, and hybrid architectures

Analytics & Applied AI

We deliver analytics and applied AI solutions that are grounded in operational reality. Rather than experimental models, we focus on interpretable, deployable analytics that support day-to-day decision-making in drilling, production, and subsurface operations.

Our approach combines domain understanding with modern analytical techniques, covering descriptive and diagnostic analytics, predictive models, anomaly and failure detection, forecasting, and optimisation. Solutions are designed to integrate into existing workflows and be trusted by operations teams.

  • Operational dashboards and KPI frameworks

  • Predictive analytics and forecasting

  • Anomaly and failure detection

  • Interpretable ML models and MLOps

applied ai

Data & AI Training

We provide practical data and AI training tailored for domain professionals working in energy and resource industries. Training is designed to bridge the gap between theory and real operational use cases, enabling teams to apply data and AI concepts with confidence.

Programs can be customised to different roles and maturity levels, covering data fundamentals, analytics, applied AI, and platform-based workflows. The focus is on building capability that delivers immediate value, not just academic knowledge.

  • Data literacy for domain professionals

  • Applied analytics and AI use cases

  • Hands-on, tool-based training

  • Practical, industry-relevant examples