(and why AI boosted XR solutions?)
Our enterprise grade suite of AI assisted XR Twin solutions enable the provision of a digital replica of your built environment or physical asset. Use for more efficient design review & testing, measured stakeholder engagement, enriched training and more effective monitoring. Use one or all solutions, it's up to you.
Helps reduce rework
Rework in infrastructure development occurs at the design and construction phase and has massive cost implications for all involved in the project. It leads to unnecessary additional effort, impact quality and has additional safety implications in conducting any onsite reworks.
The direct costs alone can often come to 5% of the total construction, which is significant on a $5.5 billion dollar project.
Our review solution was developed to help rework through speeding up design validation and collaboration.
engage: Speeds up understanding
Community engagement is a key component of on time and on budget infrastructure delivery yet research shows that more needs to be done to collaborate on design with end users.
Research by the University of Melbourne shows that community opposition has contributed to the suspension or abandonment of at least $20 billion in infrastructure projects across Australia’s East Coast alone within the past decade. And that stakeholder and community pressure play "a significant role on project outcomes".
Our engage solution is created with the goal of enhancing design collaboration and understanding with end users.
learn: Measurable realistic learning environments
Our learn solution is developed with high consequence training in mind enabling the ability to provide trainees with highly realistic but measured learning environments. This helps reduce the cost of providing training while at the same time enhancing trainee engagement and learning benefits.
manage: Sustainable asset management
Asset managers play a key role in ensuring that their asset is maintained and planned for effectively. manage works as a front end dashboard for visualizing complex data including sensor data from the physical environment and was developed to enable asset managers monitor performance of their asset for enhanced sustainability and operational efficiencies.