EUDR is not an analytics problem.
It's a data infrastructure problem.
Most teams spend 3 to 6 months building EO pipelines before they can even start analyzing deforestation. We deliver analysis-ready data in days, at country scale.
Used with data from Copernicus, NASA, USGS and commercial providers
Where EUDR projects actually get stuck
EUDR compliance looks like an analytics challenge.
In reality, it's a data logistics problem.
The expectation
Before you run a single model, you need:
The reality
What teams actually face:
Result: 3 to 6 months spent preparing data before any compliance output exists. Your pipeline works for 100 parcels. Your client needs 100,000 across three countries.
Compliance fails before the first model runs
The key question is simple:
“Is this parcel deforestation-free over time?”
But answering it requires:
Without reliable data,
your models don't fail.
They never start.
A data infrastructure layer for EUDR
Dataionics acts as a data logistics layer between EO sources and your analytics. We handle:
Delivered in the formats your stack already uses
REST API
GeoTIFF
S3
GeoJSON
COG
CSVYour team focuses on compliance. We handle the data.
From months to days
Your team focuses on compliance. We handle the data.
Without Dataionics
With Dataionics
Same analytics. Different velocity.
What this looks like in practice
Let's make it real. Cocoa. Cote d'Ivoire. Country scale.
Traditional approach
3 to 6 months
before any output
With Dataionics
Days
Directly usable in your compliance workflow
Who this is for
If your system depends on EO data, this is your bottleneck.
How we work
No long sales cycle. No upfront commitment.
Exploratory call
20 min. Understand your use case, geography, timeline.
Pilot scoping
Define geography, datasets, delivery format together.
Data delivery
Analysis-ready outputs delivered to your environment.
Scale decision
From pilot to production. Same pipeline.
What's at stake
EUDR is not theoretical.
Delayed compliance
Delayed market access
Missing data
Unverifiable supply chains
Slow pipelines
Lost time, lost revenue
Every month spent fixing data is a month of exposure.
Ludovic Auge
CEO, Dataionics. Ex-Airbus Defence & Space (OneAtlas, Copernicus DIAS). 15+ years in EO data infrastructure.
What if the real problem isn't your models?
“Most EUDR projects won't fail because of analytics. They will fail because teams can't get the data right. To prove that a commodity is deforestation-free, you need to integrate 10+ geospatial data sources with incompatible APIs, fill temporal coverage gaps that create legal exposure, and reconcile resolution mismatches between 10m optical, 25m biomass, and 1km climate data. Standard data engineering efforts consume 3 to 6 months before compliance analysis can even begin.”
See what's really blocking EUDR compliance7 min read