AI-powered platform for local governments to collect, analyze, and act on resident feedback across all channels
TAM
$4.8B
Search Volume
1,200/mo
Reddit Mentions
240/mo
YoY Growth
+15%
12-month trend of search volume and Reddit mentions
Municipalities receive fragmented resident input across social media, emails, phone calls, town halls, and surveys, with no unified way to quantify sentiment, prioritize issues, or close the feedback loop with constituents.
An AI-powered platform that ingests resident feedback from all channels, uses NLP to categorize issues and detect sentiment trends, enables participatory budgeting workflows, and auto-generates public dashboards showing how input shaped decisions.
Local governments struggle to engage residents beyond town halls. AI can aggregate feedback from social media, 311 calls, surveys, and public meetings into actionable insights, enabling data-driven decision-making and participatory budgeting at scale.
Weakness: Primarily analytics, limited participatory budgeting and action workflows
Weakness: European focus, less penetration in US municipal market
Weakness: Broad suite approach, citizen engagement is one of many modules
Present at ICMA and NLC government conferences
Pilot programs with 5-10 progressive municipalities
Partner with state municipal leagues for distribution
Case study content showing improved resident satisfaction scores
Government procurement cycles are extremely slow (6-18 months), limiting growth velocity
Zencity ($30M raised) and Granicus ($300M+) have established municipal relationships
Political sensitivity around AI analyzing citizen sentiment could create adoption resistance
Viable with Execution
out of 10
City managers, county administrators, municipal communications departments, and elected officials in cities with 25K-500K population