We build AI and machine learning systems for sectors where compliance isn't optional — shipping, oil & gas, energy, electrical, and manufacturing. Our solutions are designed with audit trails, explainable outputs, and regulatory frameworks built in from day one.
Most AI agencies build impressive demos. We build systems that survive regulatory scrutiny, integrate with industrial control systems, and deliver measurable value in environments where getting it wrong has real consequences.
The maritime sector operates under some of the strictest international regulations — IMO, SOLAS, MARPOL, and classification society requirements. AI can transform operations while maintaining full compliance, but only when it's built by teams who understand the regulatory landscape.
We build AI systems for vessel performance monitoring, predictive maintenance scheduling, route optimisation under emissions constraints, and automated compliance reporting. Every system produces auditable outputs that satisfy flag state and port state inspectors.
Oil & gas and energy companies face intense regulatory pressure — HSE requirements, environmental compliance, COMAH regulations, and industry standards like IEC 61511 for safety instrumented systems. AI implementations in these sectors must be safety-aware and fully traceable.
We deliver predictive maintenance systems that reduce unplanned downtime on critical equipment, anomaly detection for operational safety, automated environmental monitoring and compliance reporting, and intelligent process optimisation that works within your existing SCADA and control system infrastructure.
Manufacturing and electrical sectors demand AI that integrates with existing production systems, meets quality standards like ISO 9001, and produces verifiable results. Whether it's computer vision for quality inspection or predictive models for production scheduling, the systems need to be robust and reliable.
We build computer vision systems for automated quality inspection, predictive models for equipment failure and maintenance scheduling, production optimisation engines that reduce waste and improve throughput, and NLP systems for automated technical documentation and compliance reporting.
Generic AI consultancies optimise for impressive demos and proof of concepts. In regulated industries, the real challenge starts after the demo — when systems need to be auditable, explainable, compliant with industry-specific regulations, and integrated with legacy infrastructure that can't be replaced.
Audit trails, explainable AI, and documented decision logic built in from the start — not bolted on after deployment.
We work with SCADA, ERP, MES, and legacy control systems. Our AI plugs into your existing infrastructure.
We've built systems for shipping, petrochemicals, and manufacturing. We understand your constraints because we work in them.
AI helps regulated industries automate compliance monitoring, predict equipment failures before they cause safety incidents, optimise operations within regulatory constraints, and maintain auditable decision trails. Specific applications include:
We build AI systems with compliance by design. Every model includes full audit trails, explainable outputs, and documented decision logic. We work within frameworks like the EU AI Act, ISO 42001 for AI management systems, and industry-specific regulations such as IMO standards for maritime, COMAH for hazardous sites, and IEC 61511 for safety instrumented systems. Our systems are designed so regulators and auditors can understand exactly how decisions are made.
We provide end-to-end AI services tailored to industrial and regulated environments:
Costs depend on scope and complexity:
Based in the North East of England, our rates are 20–40% lower than London AI consultancies. We always recommend starting with a focused pilot to prove value before committing to full-scale implementation.
Generic AI agencies build impressive demos but struggle with the reality of regulated environments — audit requirements, data governance, safety-critical decisions, and industry-specific compliance. We understand these constraints because we work in them daily. Our team has built systems for shipping companies, petrochemical operations, and manufacturing plants where AI outputs must be explainable, traceable, and defensible under regulatory scrutiny.
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