Certain tourism attractions operate large, enclosed underwater environments that require frequent cleaning to maintain visibility, hygiene and optimal guest experiences. These environments may house delicate marine creatures which may be harmed by water turbulence or physical contact with humans who enter the habitat. Equally, humans may be harmed if direct skin is exposed to some of these creatures. Current cleaning approaches rely heavily on manual scuba diving, which is labour-intensive, constrictive, and could be disruptive for both animals and staff. Also, traditional underwater maintenance tools are often limited in their ability to achieve desired cleanliness levels of the habitats.

The challenge is to develop an automated or semi-automated underwater cleaning solutions that can operate safely in confined, low-visibility environments, minimise disturbance to marine life, and reduce reliance on human divers. Solutions may involve robotics, tethered systems, advanced sensing (environmental state), precision control (navigation around the habitat), locomotion without excessive water turbulence, or novel cleaning mechanisms, but must prioritise safety, effectiveness, reliability and animal welfare.

Large-scale tourism infrastructure depends on critical mechanical and structural components that operate under constant load and environmental exposure. Failures can lead to immediate operational shutdowns, regulatory intervention, and significant business disruption.
Today, many operators rely on periodic visual inspections, which are inherently reactive and unable to detect internal or early-stage degradation.
The challenge is to implement predictive monitoring solutions that can detect early signs of wear, fatigue, or corrosion before visible failure occurs — using non-invasive sensing, data analytics, or continuous monitoring approaches.
Solutions should provide actionable insights, minimise false alarms, and support planned maintenance rather than emergency response.

Visitor expectations are shifting toward interactive, personalised, and emotionally engaging experiences, particularly among younger and repeat audiences. However, many attractions operate within tight physical, safety, and operational constraints that limit large-scale retrofits or hardware-heavy installations.

The challenge is to create immersive, technology-enabled experiences that significantly increase engagement and memorability without requiring major physical modifications, extensive downtime, or complex maintenance. Solutions should be scalable, content-refreshable, and resilient to connectivity limitations, while remaining accessible to diverse visitor profiles.

Tourism attractions generate large volumes of data across ticketing, operations, marketing, and partner channels. However, this data is often fragmented or manually processed, limiting the ability to make timely, data-driven decisions.

The challenge is to build integrated analytics and intelligence platforms using insourcing data and market/industry data that enable near-real-time insights, predictive forecasting, and actionable recommendations — such as dynamic pricing, targeted promotions, and demand anticipation. Solutions must balance technical sophistication with usability, enabling non-technical teams to act on insights confidently and consistently.