Research-informed risk intelligence for a changing environment

Data-driven environmental risk intelligence for safer decisions.

AggNor develops advanced geospatial, climate, and AI-powered solutions for wildfire risk, natural hazard understanding, and broader environmental intelligence. We turn complex data into clear decision support for public and private sectors.

Built on research-driven methods
Focused on Norwegian conditions
Combines AI, GIS, remote sensing, and domain expertise
Designed for practical risk reduction and planning
Services

What AggNor can help you do

We combine scientific understanding, digital development, and applied geospatial analytics to build useful products and services for real-world decision-making.

Wildfire Risk Intelligence

Spatial risk mapping, ignition susceptibility analysis, and environmental decision support tailored to Norwegian and Scandinavian conditions.

Spread Modeling & Scenario Analysis

Simulation-driven analysis to understand how fire may develop across terrain, vegetation, and weather conditions for better planning and preparedness.

Geospatial & Climate Analytics

Integration of satellite data, terrain, land cover, and environmental variables into practical insights for municipalities, infrastructure owners, and industry.

Environmental Intelligence Platforms

Custom digital tools and dashboards that transform environmental and risk-related data into clear, operational intelligence.

Sectors

Built for organizations working with risk, environment, and resilience

AggNor’s solutions are relevant wherever better environmental insight can improve planning, preparedness, operations, and strategic decisions.

Municipalities and public preparedness
Insurance and risk assessment
Power and critical infrastructure
Forestry and land management
Environmental and climate projects
Marine and aquatic systems
Approach

From raw data to decision support

Our workflow combines data acquisition, geospatial processing, environmental analysis, and model development to generate practical intelligence. This includes integrating terrain, vegetation, climate, and satellite-derived indicators into outputs that are easier to use in planning and operations.

Step 1Data integration
Step 2Spatial and AI analysis
Step 3Scenario modeling
Step 4Decision-ready outputs

Risk Mapping for Planning

Support land-use, emergency planning, and local vulnerability assessments with spatially detailed environmental risk information.

Decision Support for Prevention

Identify where preventive measures, monitoring, or resource allocation can have the greatest effect before incidents occur.

Tailored Analytics for Industry

Help organizations understand exposure to natural hazards and environmental conditions using custom data products and models.

About

A company built at the intersection of science, technology, and application

AggNor is being built to deliver advanced environmental intelligence using geospatial methods, AI, and domain knowledge. The company’s first focus area is wildfire and natural hazard risk, with a long-term vision to support wider environmental, climate, marine, and aquatic applications.

Our ambition is simple: make complex environmental data more useful, more actionable, and more relevant for organizations that need better insight to reduce risk and improve resilience.

Why AggNor

Scandinavian relevance

Solutions informed by the realities of Nordic landscapes, data, and risk conditions.

Applied innovation

A practical bridge between research methods and usable products for organizations.

Flexible collaboration

Suitable for pilot projects, custom analytics, prototype platforms, and long-term partnerships.

Contact

Let’s explore how AggNor can support your work

Whether you are working with preparedness, land management, insurance, infrastructure, or environmental strategy, AggNor can help translate complex environmental data into useful insight.

CompanyAggNor AS
Websiteaggnor.no
Emailinfo@aggnor.no
FocusEnvironmental intelligence, risk analytics, and data-driven solutions
Contact AggNor