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Instant clarity for your carbon impact

Get CO2e emission factors and LCA simulations in seconds

Built for climate, procurement, and operations teams who need a fast and reliable estimate before commissioning a full study.

Start a simulation Simulation example

Example prompts

Case study examples

  • 01 What is the CO2e emission factor for producing recycled steel in Switzerland in kgCO2e/kg ?
  • 02 What is the carbon footprint of an 80 kg FSC-certified wooden piece of furniture shipped from Spain?
  • 03 Carbon impact of a fleet of 50 electric vans over 5 years?
  • 04 What is the CO2e emission factor for transporting 1 tonne of goods by truck over 500 km in Europe in gCO2e/km ?
  • 05 What is the carbon footprint of manufacturing and using a laptop for 4 years?

Use cases

Start from your workflow

Emission factors

Fast, reliable estimates to build your footprint

Portfolio carbon intensity

Metrics for sustainable investing

Corporate footprint

Approximation by headcount, sector, and geography

Indicative product LCA

Quick analysis of a specific product’s impact

Example factor

What a factor looks like

Example factor: — - unit: —

This is a saved example (not recomputed on page load).

Mean

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Std dev

—

Min

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Max

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Sorted simulations

Normal distribution (fit)

Legend

Normal distribution
Mean (μ)
Std dev (±1σ)
Std dev (±2σ)

Example LCA (β)

What LCA (β) look like

Example LCA (β): — - unit: —

This is a saved example (not recomputed on page load).

Mean

—

Min

—

Max

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Scope (interactive)

Full scope

Toggle stages to focus the charts.

Breakdown

Stage impact

Total distribution

How it works

From prompt to decision-ready output

  • Describe the item, unit, and key assumptions (context, geography, scope).
  • Run multiple iterations to capture variability and uncertainty.
  • Export results and share internally. Validate before external reporting.

Quick links

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InstantLCAi method

A modern workflow for carbon analysis

A clear workflow combining AI, vetted databases, and human oversight to deliver results consistent with your internal standards.

Clear brief

Instant scoping

Provide the item, geography, and key assumptions (mass, transport, energy).

Expert AI

Reference selection

The engine cross-checks Ecoinvent, Base Carbone, and your internal data to pick the best matching factor.

Monte Carlo

Uncertainty propagation

Scenarios combine variability across activity, factors, and transport to generate a robust distribution.

Validation

Ready-to-use insights

Automated interpretation, report-ready exports, and integration into your ESG workflows.