Asset-level risk needs asset-level data
A physical risk model can tell an insurer how deep the water would reach at a single address in a severe flood, how hard the wind would hit it in a storm, or how intensely a fire would burn there. Models of this kind have improved substantially over the past decade, particularly for flood. The […]
Seven ways synthetic satellite data can solve a machine learning problem
Behind most models that read satellite imagery sits a small set of hand-labelled images, and it caps what the model can learn. Synthetic Earth observation data removes that ceiling. This piece sets out seven practical ways it helps teams build and test models on satellite data.
The solar on Brazilian roofs that nobody declared
More than 3.6 million solar systems now sit on Brazilian roofs, façades and small plots, most of them on houses. More than half of financing requests for these systems come from consumer classes C and D, so this is ordinary household economics rather than a niche for wealthy owners. A large share of that fleet […]
Where solar goes: satellite data and the site-selection problem
Somewhere in the United States, a finished solar project is waiting. The environmental review has passed, financing closed long ago, the land is leased and the equipment is specified. The one thing missing is a letter from a utility confirming there is room on the grid. Lawrence Berkeley National Laboratory, which tracks these queues every […]
Predicting power outages from space: the data behind grid resilience
In the last week of June 2026, France recorded its hottest day since national measurements began in 1947. With temperatures climbing past 40 degrees, rivers warmed, and the infrastructure built to keep the lights on began to fail in ways that were, at least on paper, entirely foreseeable. A reactor unit at the Golfech plant […]
Synthetic satellite data, answered: The 5 questions we heard most
Synthetic satellite data came up in nearly every conversation across three events in June. Here are the five questions we were asked most, answered properly: what it is, why it matters when real imagery exists, how it handles cloud cover, whether it transfers to the real world, and where it is actually useful.
Infrastructure stress testing with synthetic data: preparing critical assets for extreme weather
Most of the infrastructure we depend on was designed for a climate that does not exist anymore. Bridges, pipelines, power grids and transport corridors were engineered for the weather of the past, made to withstand the worst conditions recorded in the few decades before they were built. Infrastructure is generally built to the climate norms […]
Synthetically yours: A conversation with our CEO Maya Pindeus on how Synthetic Satellite Data could change the way we plan for the futureÂ
Seeing the future is the easy part Imagine you could generate a faithful picture of any place on Earth under conditions it has never actually lived through. A coastline battered by a storm that has not arrived. A power grid under a pressuring heatwave that has not happened yet. A forest a decade into a […]
AI & Sustainability in the EO Industry: An honest look at the promise and the cost
Every day, satellites circle our planet, collecting massive amounts of data about forests, coastlines, cities, and farmland. More than any team of analysts could ever read. The EO industries bottleneck is not a shortage of pixels but our ability to make sense of them quickly enough to act on what they show. This is where […]
The EUDR is rewriting global supply chains
Demands, challenges and potential of the EU’s ambitious anti-deforestation measure The European Union Deforestation Regulation (EUDR) mandates all companies importing or exporting the seven main drivers of deforestation to prove their goods have not contributed to forest loss anywhere on Earth. This requires a level of supply chain visibility most businesses have never built, and […]
