BlockDox is an intelligent software platform that looks at all of the important data from within your space, whether it's a building, rail station, train or bus, to give you the feedback of what’s working and what needs to be improved. Our team is here to help you understand how to use data on occupancy, energy and air quality to maximise your performance on energy savings, space utilisation, cleaning schedules, occupancy and many more. Inform your strategies with real-time data and measure the results.
Use BlockDox to save your budgets and earn the most from your space.
We use different sensors to gather a variety of data
We have our own dashboard with customisable reporting, but data can be easily integrated with your existing systems
Based on your needs, we can send alerts notifying you when your space is approaching non-ideal conditions
Once you’re ready to implement your new operational strategy, we can monitor the progress and provide the alerts and reports when most convenient for you.
At BlockDox, we believe we have discovered a breakthrough that eliminates waste and frustration for building and transport managers. We help property, FM, operations, energy, and sustainability managers as well as bus and rail operators to understand exactly what’s happening with their buildings.
BlockDox’s powerful algorithms harness the very latest in computational power to process immense amounts of data collected from micro-sensor technology. Our team of highly-skilled data scientists works with these various data points to provide you with greater and better insights so that you can successfully achieve your facilities management goals.
BlockDox’s highly interactive platform helps you to create a healthy and productive environment whilst reducing operational costs and meeting your sustainability/net-zero targets. What's more, you can choose to share data and insights easily with trusted partners.
If you're a transport operator we can help you with passenger counting data to improve timetabling, crowd & disruption management, occupancy and passenger density and comfort.
See our case studies here.