Seeing the
Whole Picture

Next-Generation
Hardware

Revolutionary
Analytics

Matter Intelligence is rebuilding the satellite stack to unlock insights invisible to today’s sensors

Matter’s new generation of satellites gather data at unprecedented scale and fidelity.

Our geospatial AI models harness that data to power mission-critical insights.

Infrastructure, mining, defense, and maritime organizations can intelligently monitor, predict, and respond like never before.

What we
aren't seeing

Despite decades of investment in satellites, remote sensing, and machine learning, the world still lacks continuous, actionable understanding. Resolution, spectral visibility, and insight remain limited, and industries from defense to mining suffer as a result.

Satellites

Narrow bands and resolution tradeoffs limit insight.

Fragmented systems, incomplete coverage, limited insight.
Critical sectors operate with delayed, siloed information.
Current AI models are built on a narrow spectrum of visible light.

The Potential

Industry Challenges

Every major industry that depends on physical assets faces the same core issue: decisions are made with delayed, incomplete, or siloed information.

Legacy sensing systems cannot deliver the timely, high-resolution, hyperspectral insights these sectors require.

Mining

Agriculture

Emissions

Insurance

Defense

Defense

Defense needs to detect change, but current systems miss it

Nitrogen Dioxide (NO2) Detection

Defense missions rely on the ability to detect small changes with precision and confidence. Current satellites are limited in two critical ways. Their resolution is often too coarse to reveal fine details, and their spectral coverage- is restricted to just a few bands. Even when they claim multispectral capability, the data is narrow and misses the chemical and material signatures that matter most.
This leaves commanders with an incomplete picture. Movements of equipment can go unseen. Subtle signs such as fuel storage, chemical leaks, or material stress cannot be detected. Without these insights, analysts must make decisions with partial data and higher uncertainty. The result is slower threat detection, missed opportunities to act, and increased risk in contested environments.

Nitrogen Dioxide (NO2) Detection

Mining

Mining struggles with incomplete monitoring and limited resource mapping

Mining operations cover vast and often remote sites where safety, efficiency, and resource discovery depend on accurate data. Current systems fall short. Resolution is often too coarse to track site activity in detail, and spectral coverage is too narrow to identify critical materials. This creates blind spots in day-to-day monitoring. Equipment failures, slope instabilities, and environmental leaks are often detected late because traditional imagery cannot reveal early warning signs.
Mineral exploration is equally constrained. Standard surveys provide only partial information, leaving companies to spend more on ground exploration and still miss valuable deposits
Without higher-resolution and full-spectrum sensing, mining companies cannot model their operations accurately, assess risks in real time, or map resources at the level of precision the industry needs.

Nitrogen Dioxide (NO2) Detection

Infrastructure
& Utilities

Defense needs to detect change, but current systems miss it

Defense missions rely on the ability to detect small changes with precision and confidence. Current satellites are limited in two critical ways. Their resolution is often too coarse to reveal fine details, and their spectral coverage is restricted to just a few bands. Even when they claim multispectral capability, the data is narrow and misses the chemical and material signatures that matter most.
This leaves commanders with an incomplete picture. Movements of equipment can go unseen. Subtle signs such as fuel storage, chemical leaks, or material stress cannot be detected. Without these insights, analysts must make decisions with partial data and higher uncertainty. The result is slower threat detection, missed opportunities to act, and increased risk in contested environments.

Machine Learning

Most artificial intelligence is trained on images that capture only red, green, and blue light, the same three channels the human eye can see.