One tail is a data point. The model is the benchmark.
Model Intelligence is the full emissions distribution for a single aircraft type — every tracked tail of the model, ranked by what it actually flew. It's the benchmark sitting behind every TailCheck percentile, delivered as a document.
Everyone has an opinion on the type. Nobody has the distribution.
Model-level emissions get argued from three bad sources: the manufacturer's single-mission reference figure, one tail somebody happened to see, or received wisdom about which jets are thirsty. None of them is the flown reality of the whole population — real stage lengths, real utilisation, real taxi and hold, spread across every tail of the type in service.
TailCheck already tells you where one aircraft ranks. But a percentile is meaningless without the shape behind it. “80th percentile” tells you nothing until you know whether 80th sits a hair above the median or a mile off it — whether a clean example of the type and a heavy one are separated by 5% or by 60%. The rank is only as useful as the distribution it's drawn from, and until now that distribution has been invisible.
You're quoting the brochure. Someone will show up with the flown number.
Manufacturer emissions figures are best-case: one mission, ideal conditions, empty of the way the type is actually operated. Quote them into an ESG report, a diligence memo, or a press response and you're one better-informed counterparty away from being corrected in public.
- You misread a single tail because you can’t see the type’s spread. A tail that looks alarming in absolute terms can be dead median for a heavy, long-range type — and a tail that looks fine can be a genuine laggard for an efficient one. Context is the entire judgement, and the context is the distribution.
- Your Scope 3 numbers rest on reference factors that don’t survive scrutiny, because they were never the flown figure for the population.
- A journalist, NGO, or regulator arrives with the real distribution for the type and you're arguing from an anecdote.
- You can’t tell a clean example of a model from a heavy one when it matters most — which is the exact benchmark every TailCheck percentile depends on.
The information exists in the flight record. The only question is whether you're holding it or the person across the table is.
The whole type, in one document.
Built on ADS-B data and a cited, EUROCONTROL EMEP/EEA methodology. Every tail of the model ranked, the shape of the spread, and the flown benchmark the whole type actually emits at.
Every tail, ranked
Every tracked tail of the model, ranked by CO₂ per block hour, cleanest to heaviest.
The full distribution
Median, quartiles, range, and the shape of the spread — so any single tail's rank finally means something.
The type benchmark
CO₂ per block hour and per flight, typical stage length, and utilisation across the whole population.
Leaders and laggards
The cleanest and heaviest-emitting tails of the type, with their delta to the median.
Flown vs reference
How the type actually emits in service against its single-mission reference figure.
Coverage and confidence
How many tails, how many flights, and how complete the tracking is — stated on the front page. No number without its basis.
Trailing 12-month window · EUROCONTROL EMEP/EEA 2023 methodology · built on ADS-B across 22,000+ tracked aircraft. Assessing a single tail? See TailCheck →
Aviation finance
lenders, lessors and asset managers pricing a type’s emissions and transition-risk profile, not a single asset’s.
ESG teams and consultancies
building defensible, type-level emissions factors for Scope 3 Category 6 reporting.
Brokers and operators
seeing exactly where their model sits across the flown population, and which examples set the pace.
Journalists and NGOs
sourcing type-level numbers that hold up, from the flight record rather than the brochure.
Anyone holding a TailCheck
who wants the full distribution the percentile came from.
The population is the type as it actually flew over the trailing year — not a sample, not a model, not a manufacturer's ideal mission.
Every report is built from observed flights, not estimates. We track 22,000+ aircraft by ADS-B, resolve each tail to its type, and compute emissions under the EUROCONTROL EMEP/EEA 2023 methodology against real block times and stage lengths.
Every report states its own coverage on the front page: tails tracked, flights analysed, and tracking completeness. You always know how strong the number is before you use it.
€695 per report.
Available for any aircraft model with enough tracked activity to be statistically meaningful — at least 5 tracked tails and 100+ flights over the trailing twelve months. If the type flies, it's benchmarkable.
Benchmarking often? See plans →
One-off. No subscription required.
- Every tracked tail ranked by intensity
- The full distribution — median, quartiles, range
- The flown type benchmark vs reference
- Coverage and confidence on the front page
The distribution behind the rank.
One tail ranks against this. This is the thing it ranks against.