Teleporting experts
anytime, anywhere
HyperTunnel® enables real-time and time-delayed collaboration between frontline workers and domain experts – from remote physical worksites to centralized immersive digital twins
Market Reality
Organizations have difficulty getting the right expert, at the right time, at the right place
This is more challenging for remote training and support of frontline workers, especially those that perform manual intensive tasks in complex and dangerous scenarios:
- Senior staff with operational knowledge continue to retire
- Costly and inefficient for experts to travel to remote worksites
- Knowledge transfer requires onsite immersive learning
Our Platform
HyperTunnel® is a mixed reality software platform for synchronous and asynchronous remote collaboration that instantly “teleports” experts providing training and support. We currently offer four products:
DistantPresence
remote assistant
Enable front-line workers to summon an expert for side-by-side guidance and supervision through a shared immersive digital twin, providing an avatar to mimic operations on the augmented shared workspace.




MindCapture
expert knowledge
Experts can record annotations and demonstrations in spatial context using the immersive digital twin. Content can then be deployed and 3D registered across multiple locations on demand.
ClassroomBuilder
training and simulation
ClassroomBuilder is a low-code development tool to create immersive digital twins of existing worksites for interactive simulations. Employees working on dangerous physical tasks can learn the same skills in a safe virtual environment.




VigilantCoach
augmented Intelligence
Computer Vision and Machine Learning to power an on-demand virtual expert for guidance and supervision. This AI is capable to “look over the shoulder” and alert frontline workers when deviating from a prescribed procedure.
How It Works
1

Generate and distribute immersive Digital Twins of remote worksites
2

Synchronize physical worksites with immersive Digital Twins
3

Augment the shared working space by leveraging Computer Vision
System Architecture Overview





