Our story began in the energy sector, when a leading oil and gas operator set out to optimise digitise its integrated network of wellsites, gathering lines, and compression facilities. The field operates under constantly changing flow and pressure conditions, with multiple artificial lift systems in use — making it time-consuming and difficult for engineers to coordinate production efficiently.

 

To address this, we developed an intelligent wellsite control system that helps production engineers move from optimising single-variable, single-well controllers to managing multi-variable, multi-well control strategies across the entire field. The system replicates the diagnostic and optimisation workflow of an engineer; analysing pressures, rates, and lift performance across hundreds of wellsites simultaneously to detect key petrotechnical events, prioritise opportunities, and recommend targeted adjustments - whilst maintaining stable, efficient, and scalable operations.

 

This first of kind project enabled teams to reimagine how their assets are monitored, optimised, and controlled at a system-level, establishing a new foundation for scalable field optimisation practices. The solution has delivered up to a 70% reduction in engineering time and, across multiple projects, an average 2% uplift in field production.

 

Following this success, we’ve broadened the application to help solve optimisation problems across a range of industries, each facing a common challenge: complex, dynamic systems where performance depends on countless interacting variables. Whether in energy, utilities, mining, motorsport, or infrastructure, the realities are the same — constant trade-offs, shifting conditions, and data streams too vast to analyse manually.

 

So we created Nexgineer™, a platform designed to integrate seamlessly into engineering workflows, delivering advanced capabilities across high-performance industries. This is achieved through our dedicated solutions — Field Optimizer, Strategy Optimizer, and Site Optimizer — each with its own targeted functionality for optimisation, analytics, automation, and real-time decision support.

 

As a team, we collaborate with organisations to identify where advanced analytics, data-driven methods, and optimisation techniques can strengthen traditional engineering systems and processes. Through our projects, we’ve seen that once these capabilities are embedded into daily operations, engineers can analyse faster, act sooner, and coordinate systems more effectively — transforming how optimisation happens in practice.