Agentic digital twins for cities — starting with climate resilience. Early access →
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AGENTIC DIGITAL TWINS

AI that reasons about cities
the way analysts reason about markets

Autonomous agents that continuously monitor, predict, and act on urban infrastructure risk — so governments, insurers, and developers can move from data to decision in minutes.

See how it works ↓
Climate Resilience• Food Security• Heat Vulnerability• Urban Planning• Insurance Underwriting• Infrastructure Risk• Defense & Intelligence• Real Estate• Disaster Response• Data Centers• Climate Resilience• Food Security• Heat Vulnerability• Urban Planning• Insurance Underwriting• Infrastructure Risk• Defense & Intelligence• Real Estate• Disaster Response• Data Centers•
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AGENTIC DIGITAL TWIN

A living model of your city.
Updated continuously.

Our 3-layer architecture — Data, Modeling, Decision — fuses satellite imagery, sensor feeds, census data, and climate projections into a persistent digital twin that autonomous agents query in real-time.

Heat Vulnerability Index

Low Risk
Moderate
Severe

Click map to inspect census tract risk factors

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AUTONOMOUS AGENTS

Agents that monitor, predict,
and recommend action.

Not a dashboard you check. Not a chatbot you prompt. Polymetron agents continuously scan the digital twin, detect emerging risk patterns, and push actionable briefs to decision-makers.

Polymetron AI

Results appear here

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SCENARIO ANALYSIS

What if you could see the future
before you act?

Run climate interventions, policy changes, and portfolio stress tests against the digital twin. See impact before committing resources.

City Climate & Food Security Office
0 Residents in high-risk tracts
0% Cooling center coverage
0/25 Tracts classified as food deserts

Heat Vulnerability Index by Tract

Tract 42
0
Tract 29
0
Tract 37
0
Tract 16
0
Tract 25
0
Est. annual budget $0M
3 active alerts Last scan: 2 min ago
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USE CASES

One platform.
Every dimension of urban risk.

From climate hazards to food access to property investment — Polymetron agents reason across the layers that shape how cities actually work.

Climate Resilience

Identify heat islands, flood corridors, and compound climate risks at the census-tract level. Agents monitor NOAA feeds and push alerts when thresholds are breached.

Government • Defense

Food Security

Map food deserts against heat vulnerability, transit access, and demographic data. Surface intervention opportunities before crises emerge.

Urban Planning • NGOs

Insurance & Underwriting

Continuous property-level risk scoring that accounts for climate trajectory, not just historical claims. Parcel-by-parcel hazard assessment at scale.

Insurance • Reinsurance

Real Estate & Infrastructure

Site selection, zoning analysis, and infrastructure proximity scoring for commercial, industrial, and data center development.

Developers • Investors
“Cities generate more data than any market on earth, but the people running them still make decisions with spreadsheets and gut instinct. We’re building the intelligence layer that changes that.”
Polymetron Atlanta, GA • Georgia Institute of Technology

TEAM

Built by people who’ve
modeled cities before.

SD

Sam Duong

Co-Founder & CTO

Georgia Institute of Technology. Geospatial AI & urban analytics. Building the intelligence layer for the physical world.

IR

Ingeborg Rocker, PhD

Co-Founder & CEO

Prev. Dassault Systèmes / Virtual Singapore. Two decades of digital twin expertise at city scale.

FAQ

Common questions

What is an agentic digital twin?

A persistent, continuously updated model of a city that autonomous AI agents query to monitor risk, detect anomalies, and recommend actions — without waiting for a human to ask.

How does Polymetron handle climate data?

We ingest NOAA weather feeds, FEMA flood maps, EPA environmental data, satellite-derived surface temperature, and peer-reviewed climate projections. Agents fuse these sources in real-time against the digital twin.

What makes this different from a dashboard or BI tool?

Dashboards wait for you to look. Polymetron agents proactively scan for emerging risks, generate briefs, and push recommendations to stakeholders. The system reasons and acts, not just displays.

Who are your target users?

Government agencies, defense and intelligence, insurance underwriters, urban planners, and commercial real estate developers. We start where climate risk meets infrastructure investment.

What geographic areas does Polymetron cover?

Atlanta is our primary pilot market, with deep parcel-level data across Fulton, DeKalb, and Gwinnett counties. National expansion is underway.

How fast can we get started?

Pilot deployments begin within 2–3 weeks. Full digital twin buildout with custom agent configurations typically takes 8–10 weeks depending on data integration complexity.

Ready to see your city
the way it actually works?

See how agentic digital twins can transform how you manage climate risk, plan infrastructure, and protect communities.