Small games.
Real climate action.
How it works
Why it matters
Extensive research in Behavioural Change, Climate Communication, Gaming and Marketing tells us that people want a Simple · Hopeful · Fun way to access factual information.
That's the gap we're trying to fill.
Welcome
No account needed. Just your name so we can make it feel a bit more personal.
No email, no password, no fuss.
Good to see you,
🔔 Never miss a daily challenge
Get a gentle nudge each morning when your new challenge is ready. One notification a day, nothing else.
Recently played
Small games. Real climate action. Pick one and go.
A random quiz picked from our library of daily challenges. Three questions, real data, something new every time.
Six everyday items. Drag them into order by carbon footprint, lowest to highest. The results might surprise you.
Water is hidden in almost everything we buy and eat. Guess the water footprint of everyday products, from a cup of coffee to a pair of jeans.
Real brand claims. Real greenwashing. Swipe right if legit, left if you smell spin. How sharp is your BS detector?
Short, visual stories on climate and sustainability. No jargon, no overwhelm.
Available now
Coming soon
Player · Level 1
Stories
Settings
Actions taken
The rapid growth of AI, and the data centres needed to support it, is a real and important issue. It can affect energy grids and local water supplies, and we take that seriously.
That said, we believe AI has a genuine role to play in making climate and sustainability information more accessible. The challenge is doing it responsibly.
Here is how we try to get that balance right:
We use Infomaniak as our AI provider. Infomaniak is a Swiss-based company widely recognised as one of the most ethical cloud and AI providers in the world. They run their infrastructure on renewable energy and are transparent about their environmental commitments.
We use lightweight, efficient models. Not all AI models are equal when it comes to resource use. The most energy-intensive part of AI is training large models from scratch, not running them day to day. We use Mistral and Apertvs, two models specifically built to be compact and efficient.
Apertvs is fully open-source, developed by ETH Zurich and EPFL, two of Europe's leading research universities. It is released under an open licence, which means its training, architecture, and data are publicly documented. No black box.
Your data stays in a controlled environment. Because we use Infomaniak's infrastructure, your queries are processed in a closed system, not sent to large commercial cloud platforms.
We are not perfect, and the field is evolving fast. But we believe choosing the right partners and tools makes a real difference.
The AI Companion draws on two sources, and it always tells you which one it is using.
First: our own curated knowledge base. We have built and maintain a wiki of climate and sustainability information, sourced, reviewed, and validated by us. When you ask a question, the Companion first searches this wiki using MistralAI. If a clear answer is found there, that is what you get.
Second: a fallback to broader AI knowledge. If the answer cannot be found in our wiki, the Companion falls back to Apertvs, an open-source model developed by Swiss research institutions ETH Zurich and EPFL, to provide a response based on its training data. When this happens, the answer is clearly labelled so you know it is coming from general AI knowledge rather than our curated sources.
This approach means that, as much as possible, answers are grounded in verified, local information, and you always know where they come from.
