We run structured research pilots with a small cohort of planning teams, researchers, and agencies. Tell us about your spatial question and we'll be in touch.
We read every request personally — usually within a few business days.
If there's a fit, we schedule a short call to learn about your project and show the app.
We send a build with the right template pre-loaded for your domain and help you get rolling.
We're still upgrading the application and making sure things run smoothly. Pilot partners help us shape what comes next.
You bring the spatial question — an existing proposal, a policy decision, a planning scenario under review. We map it to the model together: domain template, causal structure, scenario parameters. No off-the-shelf setup.
Enough time to run a complete pipeline, validate outputs against your domain knowledge, iterate on the causal structure, and produce a final report. Timelines flex to your data availability and review cycles.
Your spatial data: rasters, shapefiles, parcel records, permits, any existing layers. The scenarios you want to test — the interventions, zoning changes, or infrastructure investments currently on the table.
Scenario outputs with location-level confidence intervals. A reproducible audit trail — every coefficient, every assumption, every step logged. A report formatted for your audience: planning committee, grant application, or capital plan.
Built on a patent-pending causal inference methodology. Outputs are reproducible — a project from today runs identically on a fresh install five years from now.
