Industrial-grade software
for energy operations that cannot fail.
Field operations do not tolerate software that fails. We build robust software for oil and gas companies — from upstream exploration data management to midstream logistics and downstream process automation — engineered for the reliability, connectivity constraints, and regulatory environment the energy sector demands.
Oil and gas software development built for operational reality — not ideal conditions
Software built for oil and gas field operations faces constraints that enterprise IT projects rarely encounter: mobile connectivity that ranges from intermittent to non-existent, device hardware that must withstand extreme temperatures, moisture, and physical abuse, user populations that include both technically proficient engineers and non-technical field workers, and regulatory requirements that vary by geography, asset type, and production stage.
Our oil and gas software development practice has delivered over twenty projects across upstream, midstream, and downstream operations — giving us practical experience with the specific technical and operational constraints that this sector imposes. We do not learn what offline-first architecture means on your project; we bring that knowledge in from day one.
Offline-first is not an edge case — it is the baseline requirement
Field software that requires network connectivity to function is not field software — it is office software deployed in the wrong environment. Every application we build for field use operates fully without connectivity: capturing data, performing validation, storing records locally, and queuing synchronisation for when connectivity returns. Conflict resolution, data integrity, and sync monitoring are designed into the architecture from the start.
SCADA and historian integration without OT security compromise
Connecting IT systems to operational technology (OT) networks requires a security architecture that prevents the cloud integration from creating an attack vector into the process control network. We design SCADA integration with read-only data collection through secure gateways, one-way data diodes where appropriate, and network segmentation that maintains the OT/IT boundary that IEC 62443 and equivalent frameworks require.
Specialisations & capabilities
Work order management, preventive maintenance scheduling, inspection tracking, and permit-to-work systems designed for crews operating in remote or low-connectivity environments — with offline capability that does not compromise data integrity.
Platforms aggregating, validating, and analysing production data from wells, facilities, and SCADA systems — giving operations real-time visibility into performance and enabling data-driven decisions about optimisation and intervention.
Software tracking the structural and mechanical integrity of pipelines, vessels, and process equipment — integrating inspection data, corrosion measurements, and failure mode analysis to support risk-based inspection planning.
Systems for tracking and reporting environmental performance data — emissions monitoring, water management, regulatory reporting, and HSE incident management designed to meet the reporting requirements of UK NSTA, US EPA, and equivalent international regulators.
Software ingesting, processing, and visualising data from SCADA systems, field sensors, and IoT devices — providing operational dashboards, anomaly alerts, and historical trend analysis across distributed infrastructure.
Rugged mobile applications for field technicians — inspection forms, HSE checklists, equipment readings, and work order completion — designed for offline operation and synchronisation when connectivity returns.
How every engagement runs
We invest in understanding your specific operational context — production environment, asset types, regulatory obligations, and field workforce — before designing any software.
Numbers that reflect real outcomes
Tools we use in production
Building oil and gas software that works in the field — not just in the office?
Book a free discovery call with our energy sector team. We will review your operational requirements, connectivity environment, and regulatory obligations — and outline an approach that works for your specific field conditions.
What makes oil and gas software harder than standard enterprise development?
The oil and gas software development landscape contains many vendors who have built software for process industries but few who understand the specific operational context of field operations: the connectivity constraints, the device requirements, the HSE criticality, and the regulatory reporting obligations that shape every technical decision. The difference is visible in how a development team responds to the requirement ‘it needs to work offline’ — whether they treat this as an architectural constraint that shapes every component of the system, or as a feature to add before launch.
Our approach to energy sector software solutions starts with field research rather than requirements documents. We visit operations sites, interview field crews and operations managers, and observe actual workflows before designing any solution. This fieldwork consistently surfaces requirements that stakeholders did not think to include in written specifications — the handheld device that cannot display small fonts clearly in direct sunlight, the approval workflow that breaks down when the approver is on a drilling platform without connectivity, the regulatory report format that differs between jurisdictions in ways the business did not realise.
The second dimension of upstream software development complexity is data integration. Oil and gas operations generate data from heterogeneous sources: SCADA historian systems, laboratory information management systems, well test equipment, and environmental monitoring stations — each using different data formats, update frequencies, and quality indicators. Building the integration layer that reconciles these sources into a coherent operational picture is where domain-experienced software engineering makes the most difference.
How oil and gas software is designed to meet UK NSTA, EPA, and international regulatory requirements
Environmental compliance software for oil and gas operations must handle reporting requirements that vary significantly by geography, asset type, and production stage. UK NSTA production reporting, US EPA emissions reporting under 40 CFR Part 98, EU ETS reporting, and equivalent frameworks in other jurisdictions each have specific data requirements, calculation methodologies, and submission formats that must be reflected in the application’s data model — not handled as ad hoc exports from a generic operational database.
HSE software solutions for oil and gas carry specific design requirements beyond standard enterprise compliance tools: the data model must support the specific incident classification frameworks (RIDDOR in the UK, OSHA 300 in the US) and the calculation methodologies for LTIR, TRIR, and DART rate that the industry uses for performance benchmarking. Permit-to-work systems must enforce isolation and reinstatement sequences that match the operational procedures of the specific asset type — onshore pipeline, offshore platform, and refinery processes each have different PTW requirements.
Oil and gas digital transformation projects typically begin with field data capture — replacing paper-based inspection and work order processes with mobile applications that create structured, searchable digital records. The value case is clear: faster reporting, earlier anomaly detection, and reduced administrative burden on field crews. The implementation challenge is ensuring that the digital process is genuinely adopted by field workers rather than generating parallel paper systems — which requires UX design that respects the field worker’s context, not just the operations manager’s reporting needs.
Offline-first field software development requires specific architectural decisions that affect every layer of the application. The local data store must support the query patterns required by the application without a network connection — typically SQLite on mobile or a local PostgreSQL instance on ruggedised laptops. Synchronisation logic must handle the scenarios where multiple field workers modify the same record while offline — with conflict resolution rules that reflect the operational priority of different data types. Sync queue monitoring must surface failed synchronisations clearly so that data integrity issues are caught before they affect operational decisions.
SCADA integration for IT-layer applications requires a security architecture that does not compromise the OT network. Our standard approach uses a unidirectional security gateway (data diode) or a DMZ-hosted data aggregation layer that collects data from the OT network without allowing any inbound network path from IT systems. Data is collected through OPC-UA or vendor APIs (OSIsoft PI, AVEVA, Honeywell Experion), normalised into a common time-series format, and made available to IT applications through a secure API layer that has no visibility into the OT network structure.
Asset integrity management software for oil and gas assets requires a data model that supports the specific inspection methodologies — ultrasonic thickness measurement, magnetic flux leakage, visual inspection — used for different asset types, and the risk-based inspection (RBI) frameworks that determine inspection frequency based on consequence of failure and probability of failure. Predictive maintenance features that identify failure precursors from sensor data require time-series analysis capabilities and anomaly detection models trained on the specific failure modes of the asset population.