Environmental Data Intelligence for Canada

Turn environmental data
into decisions.

ArgonBI Systems builds predictive models, geospatial products, and data systems for Canada's changing environment. ArSite connects the data, intelligence, and delivery behind every product we build.

Capabilities

Environmental intelligence, end to end.

Predictive Modeling

Machine learning systems that forecast risk, detect patterns, and surface insights from complex datasets. Built for production reliability, not one-off analysis.

Interactive Platforms

Web applications that make complex data accessible. Dashboards, explorers, and monitoring tools designed for the people who actually need the information.

Geospatial Analysis

Mapping, spatial data processing, and location intelligence. We turn geographic data into tools that help people understand what’s happening where and why it matters.

Data Infrastructure

We build the pipelines, APIs, and backends that turn fragmented environmental and operational data into reliable intelligence.

ArSite Platform

One platform for
environmental intelligence.

Public environmental data feeds the INFERNIS risk engine; ArSite turns what it produces into something people can actually use. Together they power ArgonBI products and give every new project a stronger foundation.

Visual Products

Dashboards, maps & reports

Data Services

APIs, integrations & data access

ArSite

The platform behind every ArgonBI product.

INFERNIS

The open-source environmental risk engine.

Environmental Data Layer
Client DataYour operational data

Public environmental data and client data flow through one engine into one platform.

INFERNISLIVEOPEN SOURCE

The engine underneath.

INFERNIS is our environmental risk engine. It scores wildfire risk for every 5 km of British Columbia, every day, and extends the same coordinate-level approach to flood and smoke. Its fire science is published as open source, so the method can be checked, reproduced, or run by anyone — and it is free to use today through ArSite.

Read the method

Get In Touch

Have an environmental data problem?

Tell us what you are trying to understand, predict, or monitor. We will tell you how we can help.