Research areas

Technologies, applications and ongoing testing.

Here we bring together the research directions NexCo is exploring. Each overview describes how the technology works, the application settings under consideration and the tests needed to assess its feasibility and usefulness.

When a research direction moves into prototyping or produces verifiable results, we will publish the method, metrics and progress.

4research directions
2areas
October 2026last updated

How to read the archive

Each label describes a specific stage.

Research direction
A technology and an application question that still need to be tested.
Project in development
An initiative with a defined scope, activities and next milestone.
Case study
A real setting with activities, a testing method and results that can be documented.

Archive

Published research

Area

4 items

01Research directionOngoing research

Digital spaces and positioning

Photorealistic 3D environments

We study how to reconstruct a navigable representation of a space from images captured from multiple viewpoints.

Research question

How far can the time and manual work needed to digitise a real place be reduced while maintaining visual quality and usability suitable for commercial use?

02Research directionOngoing research

Digital spaces and positioning

Visual Positioning System

We explore systems that compare images captured by a device with a visual map of the space to estimate its position and orientation.

Research question

In which environments and conditions can a visual map provide sufficiently reliable positioning to support navigation, augmented reality or autonomous systems?

03Research directionOngoing research

AI and data systems

Computer vision

We study how to recognise objects, interpret scenes and extract information from images and video to support real-world processes and applications.

Research question

How can images and video be turned into reliable information useful to a real process, even when lighting, viewpoint and capture conditions change?

04Research directionOngoing research

AI and data systems

Persistent memory for AI systems

We study the architecture of a software layer external to language models, designed to determine which information to retain, update and retrieve.

Research question

How can useful memory be built across sessions without turning incorrect, outdated or unauthorised information into seemingly reliable context?