Over 60% of emissions come from everyday decisions.
Transport, diet, and home energy choices made in ordinary moments account for the majority of individual carbon impact — yet most tools only show a total after the fact.
Beta on Android and iPhone — invites open
Earn Green Points for a greener everyday routine Free on Android and iPhone. Your journeys stay on your phone.
SAVE rewards lower-carbon everyday choices with Green Points, suggests realistic swaps, and measures your progress against your own starting point — not a generic average. It is not a CO2 calculator.
Free · Android and iPhone · We'll email your invite
Running a program for your organization? See SAVE for organizations
The problem: awareness without action
People care about climate impact, but current tools feel overwhelming, impersonal, and difficult to turn into daily behavior change.
Behavior gap
Carbon footprints are shaped by repeated daily habits and routine decisions that are easy to miss.
Generic guidance
Existing solutions often provide broad advice rather than practical hints adapted to a specific lifestyle.
Privacy risk
Many solutions depend on uploading detailed location trails to cloud services, which creates avoidable exposure and weakens user trust over time.
Tool friction
Many tools require heavy manual effort and introduce privacy risks or user experience complexity.
Why now?
More than 60% of global greenhouse gas emissions are linked to household consumption — the food, housing and transport choices we make every day. That's where the leverage is.
60%
of global greenhouse gas emissions are linked to household consumption (Ivanova et al., 2016).
48%
of households' non-CO₂ emissions came from food in a study of households in China — methane and nitrous oxide that CO₂-only calculators miss (Xie et al., 2023).
27%
of those households' total emissions were non-CO₂ gases — a large share that CO₂-only tracking leaves out (Xie et al., 2023).
Ivanova, D. et al. (2016). Environmental impact assessment of household consumption. Journal of Industrial Ecology, 20(3), 526–536.
Xie, R. et al. (2023). The characteristics and driving factors of household CO₂ and non-CO₂ emissions in China. Ecological Economics, 213.
How SAVE works
All screenshots are taken from the app in development.
Home
- Your personal progress at a glance
- A hint for your next likely trip — for example "public transport predicted tomorrow around 9am"
- Campaigns your organization is running
Your trace: journeys
- A color-coded week, so you see at a glance which days were low or high impact
- Journeys recorded automatically, with the route shown on a map
- Log a trip yourself when you need to
Your trace: meals
- Every meal you log, day by day
- Each meal marked low, moderate or high impact
Log in plain words
- Say what happened in your own words; the assistant works out the details and saves them to your history
- Instant feedback on your choice, which you confirm before it is saved
Personal progress
- Your score over time — trend, streak and green distance
- Measured against your own baseline, not a generic average
Campaigns
- Browse and join challenges your organization is running
- See the goal and how many days are left
What the app does for you
Instead of generic tips, SAVE uses machine learning on your own travel history to give guidance that is personal, measurable and repeatable.
Tracks journeys automatically
Journeys are recorded as you go, with distance and travel mode — no diary to fill in.
Learns your patterns
A model learns when and how you usually travel, so it knows which trips are likely coming up in your week.
Suggests realistic swaps
A second model judges whether a lower-carbon option is realistic — like cycling a short trip you usually drive — before suggesting it.
Logs in plain words
Type what you ate or how you traveled. A language model turns your sentence into an entry for you to confirm — it reads your wording; it never decides your points.
How SAVE measures impact
SAVE focuses on three high-impact parts of everyday life: how you get around, what you eat and what you buy. The app turns those repeated choices into simple impact signals, then uses your own history as the baseline for progress.
Transport
Trips are classified by mode and distance, so the app can estimate which routines are lower-impact and which ones are worth changing.
Meals
Meals are grouped into impact levels based on their ingredients, giving people useful food guidance without pretending to know an exact footprint for every plate.
Shopping
Fewer shop trips than your usual earn points, and so does buying second-hand, repaired or borrowed. Shops are recognised on your phone; which shop is never stored.
Progress score
SAVE measures progress against your own starting point, so improvement is based on your habits rather than a generic average.
Private by design
SAVE needs your journeys to be useful, so we keep them where they belong: on your phone. Our servers only keep what's needed to run your account.
- Stored on your phone: your activity history lives in the app's private storage and is deleted when you uninstall it.
- Processed, then discarded: when SAVE calculates your score or reads a meal you typed, our server processes the request and keeps nothing.
- Minimal account data: we keep your account details and anonymous campaign totals — nothing that shows where you went.
- Never sold, never used for ads: we don't sell your data, share it with data brokers, or use your location to target content.
Questions about the app
Is SAVE free?
Yes. The SAVE app is free for individuals.
Which phones does it work on?
Android and iPhone. While SAVE is in beta, Android phones install it through Google Play's testing program and iPhones through Apple's TestFlight app.
How do I get in?
Join the beta with your email. We send you an invitation with the install link for your phone — Google Play on Android, TestFlight on iPhone — and the invitation code you enter when you create your account.
Do I have to share my location?
Automatic journey tracking needs your location, including in the background, because most journeys happen with your phone in your pocket. You can say no and log journeys yourself instead.
What happens to my data if I stop using SAVE?
Your activity history is stored only on your phone and is deleted when you uninstall the app. You can also delete your account at any time.
Do I need an organization to use it?
No. The app works on its own. Organizations can add campaigns for their people on top — see SAVE for organizations.
Does SAVE calculate my carbon footprint?
No. SAVE is not a CO2 calculator. It rewards lower-carbon choices with Green Points, measured against your own routine: walking, cycling and public transport, lower-impact meals, and buying second-hand, repaired or borrowed. Which choices count as lower-impact comes from standard emissions factors for travel and peer-reviewed food data. AI decides what to suggest and reads what you type — it never decides your points.
Join the beta
Collect Green Points for the lower-carbon habits that fit your week. Free, and your journeys stay on your phone.
Developed by LessTrace, co-founded by software architect Behzad Savabi, and mentored by GreenTech4 Transformation (GT4T), a program co-funded by EIT Climate-KIC. Meet the team
Where SAVE's hints are heading
These are the kinds of hints we're designing. Some rely on features still in development, such as weather and calendar awareness.
Weather-Responsive Guidance Family Activity Planning Commuting and Transport Grocery Habits and Meal Optimization Calendar-Aware Planning Trip Bundling and Route Optimization
Example scenarios we're designing for
Work commute: suggest public transport (clear weather), track progress
Hint (the night before):
"Tomorrow looks clear. Want to take public transport to work instead of driving? It's an easy win for your Green Points."
Follow-up (after commute):
"Nice — today's commute earned Green Points. You're building a streak: 2 of 5 greener commutes this week."
SAVE did:
- Learned your work commute pattern (same route + timing).
- Used the weather forecast to pick a low-friction day.
- Detected how you actually traveled (car vs transit) and updated your progress level.
Weekend family plan: suggest a greener idea
Hint:
"Family weekend idea: choose a nearby nature spot and go by train/bus, then walk. Fun day, and it earns Green Points a long drive would not."
SAVE did:
- Noticed your typical weekend travel distance.
- Suggested a nearby + shared transport + walking plan instead of a long drive.
- Kept it realistic for a family (simple route, low effort).
Upcoming meeting with a property agent: a greener way to combine trips
Hint:
"You've got a property visit coming up. On the way back, do your grocery run near that route, one combined trip instead of two."
SAVE did:
- Detected the upcoming appointment location and time window from your schedule.
- Recognized your usual grocery routine (where/when you shop) and your typical travel mode.
- Matched a grocery stop along the return route and suggested bundling because it reduces distance with minimal hassle.
Before groceries: suggest greener purchases, then log them
Hint (before the shop):
"Grocery tip: pick more plant-based options and seasonal products — a lighter basket earns Green Points."
Hint (after):
"Tell me what you bought in a sentence and I'll log it — second-hand and repaired finds earn Green Points too."
SAVE did:
- Learned your grocery routine (where/when you shop).
- Used your past purchase patterns to suggest the easiest greener swaps.
- Uses the receipt photo to categorize items and measure improvement week to week.