BLETCHLEY LABSINDUSTRIES
Where we put machine intelligence to work.
Deep focus beats broad claims. We work in the sectors we understand — and bring production‑ready intelligence to each of them.
01 / MARINE
Marine Engineering & Offshore
Focused, production‑ready intelligence for vessels, platforms, and the people who run them.
Marine and offshore operations run on tight margins, hard environments, and equipment that cannot be allowed to fail. We apply machine learning where it strengthens reliability and performance — from the engine room to the training room.
- Predictive maintenance for vessels, machinery, and offshore platforms
- Engineering training and competency assessment tools
- Condition monitoring and anomaly detection
- AI support for offshore operations, planning, and compliance
02 / ASSETS
Asset Management & Critical Infrastructure
Advanced analytics and decision intelligence for the infrastructure New Zealand depends on.
Water, energy, ports, and transport assets carry decades of service life and consequence. We build decision intelligence that strengthens asset management and improves long‑term performance, aligned with ISO 55000 asset management principles.
- Asset health scoring and failure prediction
- Lifecycle and renewal optimisation
- Risk‑based maintenance prioritisation
- AI based decision support
03 / WORKFLOWS
Business Workflows
RAG‑based document intelligence and automation for the work that slows teams down.
Every organisation carries recurring knowledge work — policies to interpret, documents to review, and questions that return week after week. We embed AI directly into these workflows, creating controlled, auditable processes that free your teams to focus on judgement, not administration.
- RAG‑based document intelligence for HR and policy
- Enterprise‑wide Q&A assistants grounded in your documents
- Automation of repetitive operational work
- Reporting and compliance checks that run themselves
YOUR SECTOR
Working somewhere else?
The methods travel. If you have a hard problem and real data, we are interested.
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