Is location data driving your public-sector decisions?
Parks, transit agencies, and planning teams lack the spatial analytics to measure equity, forecast demand, and justify investment decisions.
Backed by LODES, Census, and ACS data, it empowers parks departments, transit authorities, and urban planners to make data-driven decisions about facilities, services, and underserved communities.
Outcome
Data-driven public investment, equitable service delivery, and defensible planning decisions.

Visitor analytics, origin zones, travel distance, peak periods, and demographic profiles
Site selection scored against equity, transit access, and service gaps
Facility impact modeling and visitor demand forecasting
Equity analysis with ACS-backed demographic overlays
Interactive mapping with H3 spatial indexing and geo-filters
Commission-ready reporting and export tools
Identify underserved communities and measure access equity
Score and compare candidate sites with objective data
Forecast visitor demand to right-size facilities and staffing
Generate reports ready for planning commissions and grant applications
Disconnected data, manual workflows, and reactive care models limit population health outcomes and increase costs.
Time-consuming document review, case analysis, and administrative tasks drain resources and limit capacity for high-value legal work.
Reactive approaches to public safety miss critical patterns and trends that could prevent incidents before they occur.
Managing properties, leases, and tenant relationships across fragmented systems creates friction and missed opportunities.
Fragmented recruiting, manual onboarding, and siloed workforce data create compliance risk and drain capacity from strategic HR work.
Disconnected case tracking, manual document handling, and lack of resident visibility create bottlenecks that delay services and erode trust.
Request a demo and discover how PerceptiveAI can transform your organization.