MVP-stage VR cognitive training platform
APIScog is being developed as a VR cognitive training platform built around ecologically valid, life-like environments. Starting with an airport-style scenario, the MVP explores how immersive tasks can train and measure attention, working memory, processing speed, visual discrimination and impulse control.
The experience
APIScog is being developed around life-like VR environments that reflect everyday cognitive demands. Instead of abstract game-style tasks, the MVP begins with an airport-style scenario where users practise attention, working memory, processing speed, visual discrimination and impulse control in context.
The aim is to create cognitive training that feels natural, engaging and relevant for a broad range of users — from people who want to strengthen everyday cognition to future use cases in ageing, MCI, ADHD and cognitive rehabilitation.
Attention & Focus
Target detection, sustained attention and distractor resistance
Working Memory
Holding, updating and applying task rules
Processing Speed
Fast, accurate decision-making under time pressure
Impulse Control
Withholding or cancelling responses when the task changes
Visual Discrimination
Identifying relevant targets among similar distractors
Eye metrics
Head movement
Hand / controller
Task performance
Response time 780 ms
Readings shown are illustrative. APIScog is at MVP stage and has no validated measures.
Platform capabilities
APIScog combines life-like VR environments, core cognitive training and exploratory digital markers in an MVP-stage platform designed to support cognitive wellbeing across age groups.
APIScog is being developed around life-like VR environments that feel closer to everyday cognitive demands. Beginning with an airport-style scenario, the platform aims to make cognitive training more natural, immersive and meaningful than abstract game-based tasks.
MVP focus: airport-based cognitive task environment
APIScog is designed to support cognitive wellbeing by training key domains including attention, working memory, processing speed, visual discrimination and impulse control. The aim is to create engaging cognitive training that is relevant across age groups and everyday mental performance.
Target domains: attention, memory, speed, discrimination and response control
Beyond task performance, APIScog is being developed to explore candidate digital markers such as eye movement, head orientation and hand/controller movement. These may help us better understand engagement, distraction, reorientation and response style during immersive cognitive tasks.
Candidate markers: gaze, head orientation and hand/controller behaviour
The system running
A recording from the APIScog scene viewer: the tracked figure, the direction of its gaze, and the objects it is attending to as the task runs.
This is development tooling rather than a product interface — it is how captured data is inspected, not what a user sees inside the headset.
How the platform worksThe approach
APIScog's methodology is grounded in well-established principles from cognitive neuroscience and VR research. Training within ecologically valid, real-life environments may engage wider neural networks and increase the likelihood of transfer to everyday life compared with abstract, game-based tasks.
Repeated, adaptive challenges may support brain network efficiency and cognitive resilience.
Life-like environments reflect everyday cognitive demands, making training more relevant and engaging.
Task performance and exploratory digital markers provide objective data on how users think, look and move during training.
Our path forward
APIScog is currently at MVP stage. The platform is not yet clinically validated and is not intended to diagnose or treat any condition. The current focus is feasibility testing, usability, cognitive task design and exploratory digital marker development.
Research in VR rehabilitation suggests that life-like virtual environments can improve ecological validity and may increase the likelihood that skills and knowledge gained in VR transfer to the real world. APIScog is being built to test this principle within immersive cognitive training.
Current stage
MVP / prototype development
Next step
Feasibility testing and pilot collaboration
Long-term aim
Validated VR cognitive wellbeing platform with exploratory digital markers
Collaborate with us
APIScog is at the stage where pilot partners, researchers and investors shape what comes next. If that is you, we would like to hear from you.
