Flare is starting to power a pretty unique use case: making satellite analysis verifiable enough to be used in real-world decisions.
Zephyr works with Earth observation data for things like flood assessment, crop damage, deforestation and infrastructure monitoring.
The problem is that the result alone is not enough when money, insurance or compliance depends on it. You also need evidence of what data was used, what code or model processed it, and how the result was produced.
Here FCC and TEEs fit naturally.
The imagery and sensitive inputs can be processed inside a TEE, with the approved code/model executed in a protected environment.
Instead of exposing the underlying data, the system can return an attested result and a cryptographic receipt binding the inputs, execution and output.
Flare then gives that result an onchain verification and settlement layer.
This adds a strong contribution to the list of examples with confidential compute applied to real-world data, and where proving how an answer was produced is just as important as the answer itself.
An insurer pays a claim on a flood map. A regulator opens a case on a deforestation alert. A shipping company releases a cargo on a vessel detection.
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