Measure
Spirefly accelerates your carbon and nature assessments and gives you a repeatable process that runs again every cycle.
Trusted by sustainability teams
Zsuzsa Kozma, CSR Director
Termeer Group
Your data arrives as supplier emails, Excel exports, and scanned invoices, all in different units, formats, and languages. Before you even touch a platform, you have to harmonize it into one list of activities you can assess.
Each input gets normalized, mapped to an emission factor, and justified in a forty-cell formula. A month of your year goes into producing the number, and the decisions it should inform wait until it lands.
You finish with a number and no system, so next February begins at zero. When the person who built it leaves, the methodology leaves with them, and you pay for the same month a second time.
How it works
Any format, any source. Spirefly ingests your data as it arrives, with no template to fill and no reformatting first.
It normalizes the inputs, maps them to emission and impact factors, and hands back a draft with every uncertainty flagged for your review.
One prepared dataset produces both assessments, so your carbon footprint and your nature impact come out of the same numbers.
Work with the assessment where the decisions happen: drill into a supplier, test a scenario, and build the story for your board. The methodology you set runs again next cycle, faster each time.
Methodology setup is specialist work. Spirefly's experts can run your first cycle with you, or take it on entirely so you step in only to review.
Carbon
The carbon assessment follows the GHG Protocol across Scope 1, 2, and every material Scope 3 category, from purchased goods and transport to travel and waste.
At product level it runs at SKU granularity, so you see the individual products driving the number.
Nature
Nature measurement answers two questions. Impact: how much land use, freshwater, biodiversity pressure, and pollution your supply chain generates, across fifteen indicators aligned to the SBTN framework.
Risk exposure: where you are vulnerable to nature-related disruption, like a commodity grown in a region under water stress. Both run from your carbon data, so a change that helps carbon but worsens water risk shows up before you commit.
Automated data processing
Most tools make you reformat your data into a structure they accept, and that reformatting is where the manual time went.
Spirefly reads your data in the formats it already exists in, then normalizes it, maps it to factors, and flags anything inconsistent or estimated. You steer where your judgement matters, and it shows its working at every step.
Defensible at every step
Which factor was applied, which database it came from, and whether the data was measured, estimated, or inferred. Trace any number back to where it started.
The methodology you define at setup runs every cycle, without formula drift. When something changes, Spirefly tells you what and why, so numbers stay comparable year to year.
Every input, every factor, every boundary decision is traceable. The trail is produced as you run the assessment, so there is nothing to compile when an auditor asks.
Estimates carry a confidence level; primary data carries its source. Defensible means every number has a documented origin and an honest account of its limits.
Book a demo and we'll show you how carbon and nature come from one dataset.
Carbon accounting software quantifies a company's greenhouse gas emissions across Scope 1, 2, and 3, mapping activity data to emission factors so the result can be reported and defended. Spirefly is carbon accounting software that also measures nature impact from the same data: it pre-processes your inputs, aligns them to the GHG Protocol and SBTN, and returns a footprint with every figure traceable to its source.
Yes. If your carbon measurement follows the GHG Protocol, Spirefly ingests it as a foundation and runs a nature assessment on the same data, so you do not redo the carbon work. Many teams move their carbon measurement into Spirefly over time to keep both in one environment: one update cycle, one traceability record, and one set of scenarios showing the carbon and nature trade-offs.
Yes, as a starting point. Spend-level data gives you a directional footprint in Spirefly: which categories and suppliers carry the most risk, and where better data would help most. It is not precise enough for product-level disclosure, but it is enough to prioritise data collection and start the supplier conversations that improve it. Every spend-based figure carries a confidence flag, so you know what you can act on now.
Spirefly reads your data in the formats it already exists in, so you skip reshaping it into a structure the tool accepts. The pre-processing, normalization, factor mapping, and anomaly detection happen inside the platform, which is where most of the manual time went. Expect your first cycle to be the slow one: the payoff compounds as the methodology carries forward.
Many teams do not, and that is expected. Which Scope 3 categories are material, which allocation methods to use, how a joint venture sits within your boundary: these are specialist calls that affect every output downstream. Spirefly offers expert onboarding to work through the setup with you, or to handle it so you step in at the review stage. Each decision stays explicit and auditable.
Spirefly reads your data dynamically, so a change in structure does not force a rebuild. A new supplier format, a split category, a different billing system: it applies the methodology you already defined and flags what changed for your review. Your methodology stays constant; only how it is applied adjusts.
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