Our commitment to sustainability and Net Zero

BioSpatial Insights is committed to achieving Net Zero by 2050, in line with the UK government’s Net Zero Strategy and global commitments to delivering Net Zero. We do this though the following:

Energy and carbon management

  • We use electricity from renewable sources, supplemented by on-site solar generation to reduce reliance on the grid.

  • Our workspace is insulated to modern building regulations.

  • We minimise heating demands through optimal temperature management.

  • We are committed to replacing the gas boiler in use with a low-carbon heat pump system for space and water heating.

Efficient use of resources and consumables

  • We operate an almost entirely digital workflow.

  • We minimise printing and physical consumables and only use them where necessary to support delivery or client requirements. This reduces paper consumption and waste generation.

Sustainable procurement and equipment lifecycle management

  • Environmental considerations are part of procurement decisions for IT and office equipment, including energy efficiency and product longevity.

  • We use equipment for as long as it remains functional and fit for purpose, avoiding unnecessary replacement.

  • When equipment reaches end of life, it is donated or recycled through appropriate channels.

Digital infrastructure and data management

  • We do not operate energy-intensive on-premise servers.

  • Data storage, and where necessary processing, are undertaken using reputable third-party cloud hosting providers that have recognised environmental and energy-efficiency credentials.

These actions support efficient resource use and avoid the carbon impacts associated with local server infrastructure.

Proportionate use of computational tools

  • We use computationally intensive tools, including AI-based approaches, only where they deliver clear efficiency gains that offset associated energy use. This ensures that analytical methods remain proportionate to the scale and objectives of the work.

  • We design analytical workflows to use data at an appropriate spatial and temporal resolution, avoiding unnecessary processing and storage of excessively large datasets, thereby reducing computational and energy demands.

  • We use reusable analytical workflows and clear documentation to minimise duplication of effort and reduce the need for repeated processing, supporting both sustainability and efficient delivery.

Reduction of travel

  • We minimise travel through remote working and virtual meetings wherever feasible.

  • Where site visits are unavoidable, travelling arrangements are planned to reduce mileage and associated emissions, using public transport wherever practical.