CrimeRisk.ai × Applied Geographic Solutions Partnership

Better demographic and
crime risk intelligence for
every location decision.

CrimeRisk.ai helps organizations evaluate crime risk, compare locations, and understand the demographic and economic context surrounding any address.
Through our partnership with Applied Geographic Solutions, we combine trusted data and modeling with clear maps, indexes, comparisons, and professional reports built for practical business decisions.

The partnership

A partnership built
around clearer location intelligence.

CrimeRisk.ai was created to make complex location risk intelligence easier to understand and use.

Our partnership with Applied Geographic Solutions strengthens the demographic, geographic, and risk intelligence behind the platform. AGS brings 30 years of geographic data and modeling experience, while CrimeRisk.ai makes that intelligence accessible through a platform designed around real-world decisions.

Together, we give organizations a clearer way to evaluate crime risk, understand surrounding communities, compare locations, and communicate findings.

Why this partnership matters

Crime risk is more useful when you
understand the full location.

A location cannot be fully understood through a single crime score or broad regional average. Population, income, housing, employment, business activity, geographic characteristics, and environmental conditions all provide important context.

AGS maintains a broader data library of more than 70,000 modeled attributes across its demographic, economic, geographic, risk, and location intelligence products. Its CrimeRisk methodology uses more than 100 socioeconomic indicators, along with national crime statistics and local data where available, to develop modeled crime risk indexes.

CrimeRisk.ai brings the resulting intelligence together in one accessible platform. Users can evaluate individual addresses, compare alternatives, understand surrounding conditions, and make more informed location decisions without working through complicated raw datasets.

Deliverables

What the partnership delivers

Block-level
crime risk

Modeled crime risk at the block level helps users identify differences that city, ZIP code, and Census block group averages may miss.

Broader location
context

Geographic, business, and environmental intelligence helps users understand additional conditions that may affect a property, market, or surrounding area.

Demographic and
socioeconomic intelligence

Population, income, housing, employment, household characteristics, and forward-looking demographic projections provide a more complete understanding of the people and communities surrounding a location.

Practical decision
tools

CrimeRisk.ai makes complex intelligence easier to search, visualize, compare, and share through interactive maps, risk indexes, address analysis, location comparisons, and professional reports.

How the partnership works

Trusted intelligence.
Clear, practical outputs.

The intelligence behind CrimeRisk.ai incorporates national crime statistics, local jurisdictional and incident-level inputs where available, demographic and socioeconomic indicators, geographic analysis, business information, and environmental data.

These inputs support the underlying modeled risk and location intelligence. CrimeRisk.ai organizes the resulting information into clear maps, indexes, comparisons, and reports built for business use.

CrimeRisk.ai presents modeled risk intelligence and does not display individual crime incident records.

I

Crime risk
intelligence

Modeled indexes provide a consistent way to evaluate and compare relative crime risk across locations.

II

National and local
data inputs

National crime statistics and local jurisdictional data, where available, contribute to the underlying crime risk models.

III

Block-level
precision

Modeled block-level intelligence provides a more detailed view of risk around a specific property or address.

IV

Demographic
data

Population, households, age, income, housing, education, employment, and demographic projections help users understand the communities surrounding a location.

V

Socioeconomic and
geographic data

Economic conditions, business characteristics, household composition, and geographic information provide additional context for evaluating properties and markets.

VI

Environmental
information

Environmental and hazard information adds another layer of context when evaluating a location and its surrounding area.

The CrimeRisk.ai experience

Location intelligence
designed around real
business decisions.

CrimeRisk.ai makes sophisticated crime risk, demographic data, and broader location intelligence easier to explore, compare, and communicate.

Users can search a specific address, review modeled risk indexes, understand surrounding demographic and socioeconomic conditions, compare multiple locations, and generate professional reports through one platform.

The result is a clearer and more efficient way to support real estate, site selection, insurance, lending, underwriting, security, and other location-based decisions.

Shared commitment

One partnership.
Four shared
priorities.

Accuracy

Providing reliable and consistent intelligence that organizations can use with confidence.

Transparency

Presenting complex crime, demographic, geographic, and environmental information in a format that is easier to understand and communicate.

Innovation

Continuing to improve the intelligence, capabilities, and user experience available through the platform.

Decision support

Helping professionals evaluate locations, compare alternatives, and make more informed business decisions.

Frequently asked questions

Applied Geographic Solutions, also known as AGS, is a geographic data and modeling company that provides demographic, economic, crime risk, environmental, and location intelligence. CrimeRisk.ai partners with AGS to strengthen the data and modeled intelligence available through the platform.

CrimeRisk.ai presents demographic estimates, socioeconomic indicators, geographic context, and forward-looking projections alongside modeled crime risk. This helps users understand both the relative risk surrounding a location and the characteristics of the surrounding community.

AGS maintains a broader data catalog containing more than 70,000 modeled attributes across its geographic data products. The specific information presented through CrimeRisk.ai depends on the datasets and intelligence included in the platform.

AGS states that its CrimeRisk methodology uses FBI Uniform Crime Reports, local jurisdictional data where available, and more than 100 socioeconomic indicators. Each crime type is modeled independently.

No. Local jurisdictional and incident-level information may be incorporated into the underlying modeling where available. CrimeRisk.ai displays the resulting modeled crime risk indexes, not individual incident records.

CrimeRisk.ai presents modeled crime risk at the block level, providing a more detailed view than city, ZIP code, or block group averages.

The platform provides intelligence related to population, households, income, housing, employment, education, age, and other demographic and socioeconomic characteristics surrounding a location.

CrimeRisk.ai provides crime and location risk intelligence across the United States and Canada.

Looking forward

A shared focus on better location decisions.

CrimeRisk.ai and Applied Geographic Solutions share a commitment to making crime risk, demographic data, and location intelligence more accessible and useful.

As data and technology continue to evolve, the partnership will focus on expanding platform capabilities, improving the user experience, and helping organizations make more confident decisions about properties, markets, and locations.

See the partnership
at work.

Discover how CrimeRisk.ai brings crime risk, demographic intelligence, geographic context, and practical decision tools together to help your organization evaluate locations with greater confidence.