Since the formation of MEK in 2011, the company has carried out management and engineering activities on behalf of prime contractors working from both customers’ premises and our offices in Somerset, UK. Our engineers’ collective experience supports customers in delivering complex programmes across the Land, Sea and Air domains and includes the following technical areas:

  • Modelling and Simulation
  • Data and Image Processing
  • Technical Authoring
  • Systems and Software Engineering, Requirements, Test and Integration
  • Safety Management and Engineering
  • Supportability Engineering (RAM, ILS)
  • Programme and Project Management, Project Controls
  • Validation and Verification
  • Supply Chain Management

We are delighted to provide an indication of our previous and current projects within the articles linked below, but should there be wider questions regarding our capabilities, then please don’t hesitate to contact us.

Key Services

Systems & Software Engineering

With experience throughout the entire systems and software engineering lifecycles, we offer everything from advice against specific standards to complete management of development and legacy projects.

Control System Design

Our engineers have worked on loop closure from simple actuators to systems as complex as autonomous flight control units for clients in the aerospace industry.

Data Science & Modelling

Whether it's describing systems from physical principles, building regression models or finding ways to classify data, we have the skills and experience to help.

Latest Case Studies

Geometry Based Pose Estimation

This is one of two case studies working on the question of relative pose estimation for an aircraft.

This study makes use of the Hough Transform and unsupervised learning to provide estimates of range and relative roll.

Actuator Sizing

A case study on the sizing aspects of the all new MEK actuator.

This work focusses on the basic load at rate capability of the system.

Template Based Pose Estimation

This is the second of two case studies to address the question of relative aircraft pose estimation.

This study makes use of a novel template based method to support the extraction of features for supervised learning classifiers.

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