Sustainability & Environment
Build a carbon footprint tracker
Kliv is an AI app builder. Describe how you collect activity data, choose emission factors, freeze reports, and serve clients, and it builds a carbon footprint tracker around that process.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a carbon calculator with a fixed data shape — it’s an AI that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the database, data-entry screens, factor library, reports, client access, scheduled jobs, and admin views. What you get is a real app that’s yours. You can use it, change it later by asking, and run it on your own accounts. It isn’t a template.
On this page, that app is a carbon footprint tracker. Kliv builds all kinds of web apps; this is one example.
Why a spreadsheet footprint is hard to defend
A footprint is only useful when the number can explain itself. Fuel invoices, utility data, freight kilometres, factor sets, scope labels, and report versions all need to stay connected. If a total comes from a number someone copied years ago, it may be impossible to defend later.
Kliv builds a tracker where clients, entries, factors, sites, and reports live in one database. Every tonne can open back to the activity data, the source document, and the factor used.
Rows first, carbon second
The carbon number is computed after the evidence is in place.
Activity entries
Diesel litres, kilowatt-hours, freight kilometres, and similar activity data each keep period, site, scope, and the invoice or meter photo they came from.
Factor library
Emission factors live as data with source, vintage, and unit. A factor is not an anonymous constant; it is a cited row.
Sites
A company’s locations can roll up but not blur. Entries belong to a site, period, and scope, so you can filter which building drove the footprint.
Report editions
A published year freezes with the factors it used. When factors update, you can publish a new edition without quietly rewriting the old one.
Client rooms
Each client signs in to its own footprint and no other. The consultancy can see across clients because that is its role.
An example: Anneke’s sustainability consultancy
Here’s how one consultancy might use it. It’s only an example — you would describe your own clients, activity data, factors, reports, and engagement rules.
Client data enters with evidence
Anneke’s brewery client enters a year of fuel and power invoices. Each entry keeps the document attached and the site selected.
Factors go on record
She loads the national factor set, with source and vintage on every factor row. From then on, calculations do not depend on unnamed numbers.
The first annual edition freezes
The annual report computes, cites its factor set, and freezes before going to the brewery’s bank with a loan application.
A spike can be explained
When the owner asks why February increased, the agent resolves the answer to three freight entries with invoices: a new cold-storage run, not a data error.
The next factor vintage stays separate
Next spring, the factor set updates. Last year’s report keeps last year’s factors, and the new report uses the new vintage.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Include activity types, factor sources, report rules, and who can see what. Here are three to build on:
Consultancy client tracker
Many clients, one factor library, and separated rooms.
“Build a carbon footprint tracker for my sustainability consultancy. Each client should log activity data with documents attached, factors should include source, vintage, and unit, reports should freeze with the factor set they cite, and clients should see only their own entries and editions.”
Food producer footprint
Sites, fleet fuel, electricity, and refrigerants.
“Build a footprint tracker for our food production company covering fleet fuel, electricity, refrigerant, and freight by site and quarter. Every entry should keep its invoice or meter photo, and reports should show emissions by scope, site, and period.”
Office travel ledger
Flights, commuting surveys, and source documents.
“Build a travel and commuting emissions ledger for our firm. Import flights from expense reports, collect quarterly commuting surveys, attach source documents, and calculate emissions using factors that name their source and vintage.”
Two questions an auditor asks
Where did the number come from? The tonne opens to its entries, each entry opens to its document, each factor names its source and vintage, and the report states which edition was used.
Who could change it? Corrections can be new entries that say what they fix, writes keep their author, and a published edition is frozen. The trail shows the mistake and the repair in order.
The agent can sit on top of the same data. It answers a client’s “why did it go up?” from that client’s rows and no one else’s. Each engagement can run as a $295-a-month subscription on the practice’s Stripe account, and a finished engagement can keep read access to its own history. What an AI app looks like when it’s built honestly explains that pattern.
Common questions
What exactly is Kliv?
Kliv is an AI that builds custom web apps from a description. For carbon tracking, that can mean activity entries, evidence files, factor libraries, report editions, client rooms, and an agent over your rows.
Do I get a real app, or a template?
A real app. Kliv builds the database, screens, rules, reports, and access controls around your footprint process.
Can I change it after it’s built?
Yes. You can ask for changes such as a new activity type, factor set, scope view, report format, or client workflow.
Does Kliv calculate our emissions for us?
No. You choose the factors and supply the data. Kliv builds the system that keeps the arithmetic, sources, and history organized.
Can we use official factor sets?
Yes. Factors are data you load, with source and vintage. A new vintage can become a new edition while old reports keep the factors they used.
Is the result a certified footprint?
No tool makes it certified by itself. What you get is bookkeeping with provenance, so every figure can trace to a document and a factor.
What does each client see?
Each client sees its own company, entries, editions, and agent answers. Other clients’ rows are not available to that session.
Can reports be frozen?
Yes. A report edition can freeze with the factors and entries it used, so later corrections or factor updates do not silently rewrite it.
Can a consultancy charge clients through it?
Yes, if that is part of your app. The source example uses $295-a-month client engagements on the consultancy’s own Stripe account.
Do clients need Stripe accounts?
No. Clients pay by card. Stripe is how the money reaches your account.
Can I use my own domain?
Yes. The tracker can run on your own domain.
Can I move off Kliv later?
Yes. The code syncs to your own Git repository, and your data can be exported.
Do I need a separate reporting tool?
No. The app can hold the data entry, factor library, client rooms, reports, and admin screens together.
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Show where every number came from
Describe your clients, activity data, evidence files, factor sets, report editions, and access rules in as much detail as you like. Kliv builds the tracker around them.