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Keenious and the Environment

An overview of how Keenious is reducing its environmental impact through sustainable design, cloud choices, and emissions tracking.

Updated over a week ago

At Keenious, we are committed to minimising our environmental footprint. We recognise that artificial intelligence has a real environmental impact—from energy-intensive data processing to water use and carbon emissions. With global AI energy demand projected to increase tenfold, we are dedicated to transparency and actively working to reduce energy consumption and greenhouse gas emissions [1].

📊 Energy & Water Use

Each document processed through Keenious consumes up to 0.667 watt-hours—just about 1.5% of the energy it takes to heat a cup of tea. Our infrastructure, primarily hosted on AWS, also draws water during cooling. Over a year, our operations use around 2,500 litres of water, equivalent to a week’s worth of use for the average American.

🌱 Carbon Emissions

Between November and December 2024, our operations using Google Cloud generated only 0.001 tonnes of CO₂e—this is a result of our choice of sustainable cloud partners. In addition to this, Keenious tracks Scope 3 emissions, which cover indirect impacts like commuting and travel.

If you want to learn more about these figures, check out the Keenious Environmental Impact Statement Feb 2025 .

🔄 Sustainable by Design

We are aiming to design Keenious in the most environmentally responsible way possible. To achieve this goal, we:

  • Choose responsible data centres from Google, AWS and Microsoft Azure.

  • Optimise our models to reduce redundant processing.

  • 90% of our team works remotely. Remote work has been shown to cut commuting emissions by up to 54%.[2]

  • Continuously monitor and report our environmental metrics transparently.


🌍 Want to help shape a greener future for AI? Let us know how we can improve at contact@keenious.com.


[1] International Energy Agency. (2024). Electricity 2024: Analysis and forecast

to 2026. IEA.

2118a/Electricity2024-Analysisandforecastto2026.pdf

[2]Tao, Y., Yang, L., Jaffe, S., Amini, F., Bergen, P., Hecht, B., & You, F. (2023).

Climate mitigation potentials of teleworking are sensitive to changes in

lifestyle and workplace rather than ICT usage. Proceedings of the National

Academy of Sciences, 120(39), e2304099120.

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