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Unstructured human data — the layer that decides whether projects live or die.
Infrastructure projects don't usually die on engineering. They die at a podium — in a county board room, at a public hearing, in an ordinance rewrite that happened while the developer was studying soil reports. The data that predicts those outcomes isn't in a GIS layer. It lives in meeting minutes, voting records, local news, social media, and the memory of every project a community has approved or fought before.
That's the layer we built Flypower to read. We're AI experts with more than ten years building software for political campaigns, national security, and brand management — fields where understanding people, coalitions, and public sentiment is the whole job. We took that toolkit to the infrastructure problem, starting with the hardest data there is: unstructured, human, and local.
Today, major renewable energy developers and data center operators use Flypower reports as a standard part of their site selection process — a clear verdict on whether a community will let them build, before capital is committed.
Our AI reads every public signal a jurisdiction produces. Analysts review every finding, and an independent editor reviews every report before it reaches you. We stand by our work.
We serve renewable energy and data centers because community opposition follows the same patterns in both. That cross-vertical recognition makes our intelligence sharper.
Consequential findings link to the public record behind them — meeting minutes, votes, filings — so you can verify anything we tell you.
Every report ends in a decision: go, no-go, or go-with-conditions — with explicit reasoning, so your team acts instead of interpreting.