Predictive Wildfire Intelligence
A live view of wildfire risk. 50 m resolution, built for the Mediterranean.
Tech
How Sentinella Reads the Territory
That orange dot is one of ours, drawn to scale. 40,000 Sentinella cells fit inside a single national square.
The way it's done now
Most national wildfire systems still assess weather across squares this wide, a single colour smeared over an entire coast. A village and the empty ridge above it get the same number. That's how €150–350M in premium gets mispriced every year across Spain's residential wildland-urban book.
The way Sentinella does it
We score risk for every 50 m cell across the territory. Small enough to identify a single building and precise enough to price it.
Risk
From Signal to Risk
Sentinella reads every public signal available — satellite, weather, terrain, history — then models two things for every 50 m cell: where a fire is likely to start, and how it would spread. Fused, they are one number — wildfire risk.
The model
What we monitor
Public signals in
Two engines
How risk is modelled
Wildfire risk
One number out
What we monitor
Public signals in
Two engines
How risk is modelled
Ignition Likelihood
Where a fire starts
Fire Spread
Where it spreads
Wildfire risk
One number out
50 m risk cells in Ibiza alone
Of historical ignitions
Monthly satellite composites since 2000
Refresh cycle, live data
Use cases
Insurance is Underpricing Wildfire Risk
Wildfire risk is priced on postcode zones drawn decades ago. At 50 m resolution, the right buildings get the right premium.
Replay the 2011 fire, building by building
Buildings inside the 2011 burn footprint
Total insured value on that ridge
Modelled annual loss across them
On this ridge alone, roughly €50k a year of premium sits on the wrong policies. Scale that across Spain's residential wildland-urban book and it's €150–350M a year in mispriced premium.
Indicative figures, anchored on Mediterranean WUI loss-cost assumptions. Production calibration uses insurer claim data — available via pilot.
Data Gap of the Public Sector
Spain spends €2.7bn a year fighting fires. Most of that spend happens after ignition.
The same risk surface, a different question: where do we spend the prevention budget? Sentinella scores every cell so fire services, civil protection and land-use planners can prioritise with precision and not waste resources.
Burned in Spain in 2025
Annual public suppression spend
Estimated total economic losses
Burned across the EU in 2025 (EFFIS/JRC)
Annual economic losses in Southern Europe
Every euro in prevention avoids €4–7 in damages
Spain: MITERD suppression data and Guillén et al. (2023). EU burned area: EFFIS/JRC.
Fuel-break prioritisation
Where to cut budget first
Civil protection
Where to position resources tomorrow
Land-use & utilities
What the grid is exposed to
Team
This is us.
Clara Cano
CEO
Connects territory, environmental science, and the markets that need to price wildfire risk. Leads impact strategy and partnerships.
Alfonso de la Osa
CTO
The architecture of the platform. Geospatial data pipelines, predictive infrastructure, scalability across territories.
Maximilià Goldston
CDO
The analytical engine: pattern discovery across climate, biomass, topography, and 40 years of ignition history.
Eleanor Manley
CSO
2x Founder leading corporate strategy, fundraising, and commercial structuring.
Inspired by Regenera Natura's field experience in the Balearic Islands, Sentinella was created to support forest regeneration, biodiversity recovery and long-term ecosystem resilience.
Pilots & partnerships
Let's talk.
Sentinella scores wildfire risk for every 50 m cell across the Mediterranean: residential, agricultural, infrastructure and public land. A pilot delivers property-level risk in 30 days.
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