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Highwise is an AI company that standardizes the decision-critical local record that today sits trapped in thousands of incompatible formats — and originates the community signal that has never before existed in structured form.
A new kind of data and intelligence company
Most of what matters about a local community is invisible. The public record exists, but it's scattered across a hundred incompatible silos that no one has joined. And the most decision-critical signal of all — what a community thinks and intends to do — isn't recorded anywhere in structured form. Highwise is building the missing layer: we make the local record standardized, current, and queryable, and we originate the signal that never existed.
In every vertical, we standardize the public record that exists, originate the community signal that doesn't, and join the two on one schema — so what's true, how it's seen, and what comes next can be read together, locally, at the same moment.
Two things at once — and a record that gets harder to copy every week.
The decision-critical public record — public safety, development and permitting, civic action, community health — already exists, but in formats that don't talk to each other. We ingest it, normalize it to one shared geographic and temporal schema, and keep it current.
The signal that matters most — what a community thinks, and what it will support, reject, or do — isn't captured anywhere in structured form. We originate it continuously, at the community level, through an operated network of consumer properties.
No single dataset is the point. The point is that all of them share the same keys — so the public record and community signal can be queried together at zip-and-week resolution.
The unit of measurement is the local community. The update cadence is the news cycle. Every story is a fresh data point in every market we operate.
Every record and attitude is captured over time. The longer it runs, the more valuable it becomes — because one input AI cannot generate is changes over time.
One layer built for four distinct audiences.
Real-world local data that can't be generated or scraped — verifiable, current, and joinable. The input frontier models don't have and can't synthesize.
Vertical businesses like retail, hospitality, real estate, and insurance who want to know what a specific community in a specific place will actually do, in time to act on it.
The standardized local record as infrastructure — public safety, permitting, health, civic action, normalized to one schema and kept current.
What a community supports or opposes, block by block — not polled nationally, quarterly, and late, but locally and continuously.