Gridstone builds demonstration analytics products using open public datasets — showing exactly how we approach AI-assisted analysis, data quality, pipeline design, and government reporting.
A full operations analytics suite built on Seattle's 311 customer service request data — covering backlog analysis, closure rate trends, category breakdowns, and geographic hotspot mapping.
AI Component Automated category classification and anomaly detection on request volume patterns using machine learning.
A statewide traffic analytics dashboard with corridor analysis, county-level comparisons, planning priority scoring, and data coverage quality assessment — built directly for Washington State DOT use cases.
AI Component Predictive traffic volume modeling by corridor and season using historical AADT data.
A public safety analytics dashboard covering call demand by time and geography, category mix analysis, precinct-level views, and a public transparency report template.
AI Component Call demand forecasting and resource allocation modeling by precinct and shift.
A federal contracting intelligence tool covering agency spend, NAICS category analysis, vendor landscape mapping, small business award patterns, and under-$1M opportunity identification.
AI Component Spend pattern clustering and opportunity scoring for small business vendors entering federal markets.
A cross-dataset data quality monitoring tool that scores completeness, duplicate rates, invalid records, missing locations, and data freshness — with automated remediation recommendations.
AI Component AI-assisted anomaly flagging and remediation prioritization across multiple agency data sources.
An independent data analysis of Washington State and Seattle/King County's homelessness response — tracking investment growth, shelter expansion, housing outcomes, and accountability measures using real public data.
AI Component AI-assisted trend analysis, growth rate modeling, and investment vs. outcome correlation across 7+ years of public data.
An independent data analysis tracking Seattle's homelessness response over time — investment levels, population trends, shelter capacity, and accountability outcomes using real public data.
AI Component AI-assisted trend analysis and performance scoring across 12 years of Seattle homelessness data.
An independent public data analysis of Mayor Wilson's first five months in office — tracking progress on housing, homelessness, public safety, transit, accountability, and community investment using publicly available data.
AI Component AI-assisted progress scoring, budget analysis, and priority tracking across all major policy areas.