Joan Saladich

speaker
211 appearances 1 recordings 1 series first heard Jun 2026 last heard 2 Jun

Joan Saladich’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jun 2026 with 1.

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So we understood that in the field of the climate prediction, climate risk, you need to be accurate if you want to be useful for businesses.
And so this is kind of the origins from GeoScope, the obsession for the accuracy, the predictive accuracy when we predict that variables will
Wind, soil radiance, depth, temperature, precipitation, rainfall, and so on and so forth.
During these years we also count with the support of the European Space Agency, the ESA.
So they have been helping us funding part of our research, which is great because ESA is all about satellites indeed, it's space agency.
And we are like the climate.
Boy of the Easter, we are the only climate startup.
But that's super good at some point because it positions us, it helps us to be positioned as a research company into a point that nowadays, when we are working with one of the largest oil companies in Europe and in the world, and yeah, we have a contract with them, but it's super interesting because it's like, no, no, no, I want you to do research.
So we are doing like private climate research for them.
So yeah, that's kind of the origin of GeoScope and our vision.
But also in these five years, six years already, we also have been checking how the market, how the climate prediction market, how the climate risk market has been evolving.
And at some point we realized that due to maybe
Regulatory pressure, due to how the market is pointing to, let's say, disclosing climate risk impacts, a lot of startups came into the game.
And here is where we saw that part of the insights that these startups deliver could be improved.
And we also develop our own climate change models.
So that's another thing that we are doing at Geoscope.
not just prediction, but also developing our own climate change models.
I love this question.
I love how we started actually.
So it's not even one to five.
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