Training Requirements

Our training specialists have been involved in early stage requirements and technology options analysis for key projects since 2008.

They have supported projects for aviation, land and maritime training, as well as developed complex requirements on large simulation projects.

 

Data Analytics

With over 20 years of experience across projects for government and industry our data analytics team have deep expertise in data science, analytics and microsimulation modelling.

From large micro-economic models to business intelligence dashboards and analysis of training data, our team are able to draw from a broad array of techniques and approaches to support our clients.

 

Modelling & Simulation

Our teams have been involved in a number of ground breaking simulation projects, including whole crew tactical trainers, virtual maintenance trainers as well as whole world simulation engines.

A number of the systems we helped to set up are still in service today, over 10 years later, which supports the value of the early work we carried out.

We continue to be involved in some of the leading simulation projects across the globe, pushing the limits of new technologies to deliver improved training outcomes.

 

Unmanned Systems

With qualified aeronautical engineers on staff, we are combining our aerospace knowledge with Artificial Intelligence techniques to deliver innovative approaches to unmanned systems.

Our research in this area focusses on the use of COTS unmanned aircraft combined with custom firmware that makes use of AI techniques for image recognition and flight path optimisation.

 

Generative AI

Whilst a relatively new field, the development of natural language models, refinement and deployment across an enterprise architecture is something our data scientists are familiar with.

Experience to date includes work within Pharmaceuticals, e-Commerce and Industry applications. Our experts have experience with both open source and proprietary language models, combined with proven data engineering approaches to ensure the models can be properly trained and improved over time.