Metrograph provides a real‑time analytics platform that aggregates social media, weather, traffic, and municipal data, normalizes it, and overlays predictive insights onto existing GIS maps.
Funding
Funding not disclosed
Founders
Product
Problem
City governments often collect large volumes of data from social media, weather feeds, traffic sensors, and open municipal metrics, but the data is fragmented, noisy, and takes weeks to analyze, leaving officials unaware of emerging incidents until they become crises.
Solution
Metrograph offers a real‑time analytics platform that ingests and normalizes these diverse data streams and overlays an advisory layer onto existing GIS maps. The system applies signal‑detection algorithms to identify early indicators of incidents such as infrastructure failures, public safety events, or service disruptions. By presenting predictive insights directly on the city map, officials can anticipate problems, allocate resources proactively, and coordinate responses before issues escalate. The platform continuously updates its models, allowing municipalities to refine response strategies over time and achieve operational efficiencies.
Target Audience
Primary customers are city planners, public safety agencies, and municipal operations teams responsible for infrastructure, emergency management, and service delivery in urban jurisdictions.
Features
- Automated aggregation of social media, weather, traffic, and open municipal data into a unified data lake
- Real‑time signal detection and forecasting engine that highlights emerging incidents on GIS maps
- Advisory overlay with risk scores, recommended actions, and escalation triggers
- Integration with existing city GIS and asset management systems via standard APIs
- Dashboard for monitoring trends, resource allocation, and performance metrics across departments
- Scalable cloud architecture supporting both large and smaller municipalities