Public records are usually treated as separate silos — one office publishes permits, another publishes assessments, another publishes parcels. Alkartis treats them as one connected layer, because in the real world, they already are.
Ingests live public records, city by city.
Links parcels, permits, and people into one connected structure.
Reads relationships across records to surface what's likely next.
Each app is a purpose-built lens onto the same underlying engine.
The datasets change from application to application. This journey doesn't. Most platforms stop at the first step or two — a dashboard, a report, a search box. Alkartis keeps going, all the way to the decision in front of you.
Most platforms organize data.
Alkartis organizes understanding.
Most platforms tell you what happened.
Alkartis explains why it happened.
Most platforms provide reports.
Alkartis provides context.
Most platforms end with information.
Alkartis begins there.
A single data point rarely tells the full story. A building permit can be an early signal of new housing. New housing can shift who's registered to vote nearby. A transit upgrade often precedes new development. None of these facts are useful alone — they're useful because they're connected.
That's the actual product: not a dataset, and not even a single application — but a growing, explainable map of how public records relate to one another, and what that means for the decision in front of you.
"Every design decision should answer one question: does this increase trust? If it increases excitement but decreases trust, we remove it."
Open records laws already require cities to publish payroll, assessments, permits, and more. The supply problem is solved — almost no one has solved the usability problem.
Reconciling messy, inconsistent civic schemas at scale used to require a large in-house data team per city. Modern AI models make that reconciliation fast enough to run as a platform, not a custom project.
Compensation Atlas and TaxAssessmentLab aren't concepts — they're shipped, live, and built on the same engine. The question isn't whether this works. It's how fast it extends.
A new open-data connector plugs into the existing engine — no rebuild required. Los Angeles, Boston, New York City, and Chicago are next on the roadmap.
Permits, parcels, elections — each new category enriches the knowledge graph for every city already connected.
A new lens ships against infrastructure that already exists, rather than starting from zero.
The applications aren't the destination. The Intelligence Engine is — a single, explainable map of how public records relate to one another, growing city by city and dataset by dataset.
Talk to the team