BeeX conducts autonomous assessment of underwater structures by taking self-driving technology and adapting it to address high currents and low visibility


Problem: The existing methods of work, which is pollutive and largely dependent on the skill of the robot pilots / divers on workboats.  Asset owners rely on such subjective ways of data collection, it cannot provide a comprehensive view for an informed decision about the condition of the asset. It is also extremely slow. To save cost, usually a sampling is done instead of every square inch, i.e. inspect 30 piles out of 100 every year. But is this method really fail-safe in preventing collapse, and avoid the costs associated? Are the asset owners too dependent on their Service Providers? Why not move from day-rate (see what can be done everyday) to lump sum (get the job done)? 

Unique Value Proposition: Our USP is the autonomous capability in shallow waters. This autonomy allows for inspections to be objective across the whole plant, safer and carbon friendly.

We see autonomy is the key enabler towards doing inspections more sustainably, i.e inspect everything but much faster than before, so you don't necessarily pay more. The other less important points are that every inspection done by a BeeX vehicle has the positioning of anomalies at the end of the day instead of weeks. If they want, they can see the data remotely too. 


  • Operated across 7 sites in Singapore including Shell at Bukom Island (through contracted service provider to Shell) 
  • PTPE in Thailand was an early customer 
  • Have booked revenue from 2021-2023

Program themes:

Future of Mobility

Team members:

Grace Chia

Co-founder & CEO

    Goh Eng Wei

    Co-founder & CTO