Buying more time

Founded: 2023

HQ: Los Angeles, CA

Mapping Earth’s materials.

Big Picture

With advancements in satellites and drones, our ability to image the Earth at scale has never been better. But in many climate related industries like mining and forestry, visual imagery alone doesn’t cut it. It’s essential to capture data about the composition of materials and objects. This is the promise of hyperspectral imaging: it enables scientists to measure the material makeup of the Earth’s surface and air from afar, unlocking vital advances in climate applications.

How it Works

Each material on Earth reflects light in a unique way. Spectrometers analyze these light signatures to gauge composition, temperature, and other material properties. Matter has developed hyperspectral spectrometers that break it down even further, measuring light intensities at more specific wavelengths than ever before. Their remote sensors reveal what’s on the ground and in the air, what those materials are made of, and how they are changing over time.

Unfair Advantage

With the highest res hyperspectral imaging on the market, Matter can unlock advances in such climate critical applications as mineral exploration, wildfire prevention, methane detection, insurance, and more. With a team of hyperspectral pioneers – a CEO who helped build the hyperspectral sensor for the latest Mars mission and a Chief Engineer considered to be the field’s godfather – no one is better prepared to deliver on Matter’s vision of creating a global map of the Earth’s materials.

100

Times

the data density of typical earth observation

VISHNU SRIDHAR CEO & CO-FOUNDER

Vishnu was an instrument engineer on the Mars2020 Rover project at NASA Jet Propulsion Laboratory before receiving his MBA from Harvard Business School.

NATHAN STEIN CTO & CO-FOUNDER

Nathan led hyperspectral remote sensing efforts for NASA’s Mars Perseverance mission. He holds a PhD in Planetary Science from Caltech.


Hyperspectral imaging can detect chemical signatures of earthbound objects from space

Popular Science