“Technology should improve communities without harming the planet. We design efficient AI systems and operate on carbon-conscious infrastructure.”
This covers how BrightState builds and deploys AI systems with environmental responsibility in mind.
Our environmental commitments
Carbon-Conscious Cloud
We operate exclusively on AWS eu-west-2 (London), which sources renewable energy. This reduces the carbon footprint of data processing and storage.
Efficient Model Design
We prioritize smaller, optimized AI models over massive, resource-intensive ones. Efficient models deliver comparable accuracy with far less energy consumption.
Remote-First Operation
BrightState operates as a remote-first organization, reducing emissions from daily commutes and office energy use. Meetings are virtual by default.
Sustainable Partnerships
We partner with organizations committed to environmental responsibility, including Nvidia Inception Programme and green-certified data centers.
AI and energy efficiency
Training and running AI models consume significant energy. We address this through:
Pruning, quantisation, and knowledge distillation reduce model size and inference cost without sacrificing accuracy
Models run only when needed rather than processing data continuously, cutting idle compute
We adapt pre-trained models rather than training from scratch, saving weeks of compute time and associated emissions
Processing data in the same region it originates (UK) cuts cross-region transfers and latency
Social housing and sustainability
BrightState's work in social housing aligns with broader sustainability goals:
Energy efficiency insights
SentinelQX can identify properties with poor energy performance, helping housing associations prioritise retrofits and reduce tenant energy costs
Maintenance optimisation
Predictive maintenance reduces unnecessary callouts, cutting travel emissions and extending the lifespan of building systems
Resource allocation
Better data decisions help housing associations allocate resources efficiently, reducing waste and improving outcomes
Measuring our impact
We track key environmental metrics:
100%
Renewable-powered cloud
<10ms
Average inference time
Remote-first
Zero daily commute emissions
What comes next
As the technology moves forward, we plan to:
- •Monitor and report our carbon footprint annually
- •Adopt newer, more efficient model architectures as they become available
- •Partner with green-certified cloud providers and data centers
- •Support clients in their own sustainability goals through better data insights
Questions about our sustainability practices? Contact us at contact@brightstate.ai or call 07553 484887.