Teaching Machines
What the World is Made Of.
Metaspectral exists to make spectral intelligence usable in the real world. We build the deep learning, compression, and inference systems that turn hyperspectral data into operational decisions across industrial sorting, earth observation, defense, and emissions monitoring.
One Technical Foundation.
Multiple Operating Environments.
Metaspectral was built around one core capability: turning complex spectral data into operational intelligence. The markets are different, but the technical foundation is the same: extract reliable material intelligence from data that conventional systems cannot use effectively.
Hard Spectral Data Problems
The founding team focused on difficult data and inference problems where conventional pipelines broke down. Hyperspectral workflows demanded new approaches to compression, processing, and deployable machine learning.
Core Technology
That work became a technical foundation in spectral analysis, deep learning, compression, and deployable inference. Metaspectral built Clarity to turn those capabilities into a usable operational platform.
Operational Applications
Those same capabilities now power industrial sorting, earth observation, defense, and emissions monitoring. Different environments, same technical engine: translating spectral data into decisions teams can act on.
Built for Mission-Critical Operations
Technical Rigor
Our platform is built on spectral analysis, compression, and model development work designed for difficult operational environments where accuracy and reviewability matter.
Aerospace-Grade Standards
Metaspectral's core infrastructure uses CCSDS-123-b-2 for spectral data compression where bandwidth efficiency and data fidelity matter.
Commercial-Speed Edge
Our software is built for deployable inference in edge and field environments where throughput and latency directly affect operational outcomes.
A Team of Deep-Tech Specialists
Headquartered in Vancouver, BC. Deployed globally. We are an elite team of deep-learning scientists, FPGA architects, and computer vision engineers dedicated to operationalizing hyperspectral intelligence.
Leadership
Francis Doumet
Co-Founder & CEO
Leigh Martin-Boyd
Director, Government Business Development & Programs
Brook Wessel
Business Development
Engineering & Research
Parisa Asgharzadeh
Deep Learning Scientist
Arik Dicks
Software Engineer
Guillaume Hans
Senior Research Scientist
Hussain Hassam
Senior Software Engineer
Kailem Kwan
Software Engineer
Reza Mohammadnia
Senior FPGA Designer
Leonardo Molas
Software Engineer
Ahmed Sigiuk
Senior Deep Learning Engineer
Daniel Tavaszi
Senior Software Engineer
Build the Next Generation of Material Intelligence.
We are solving some of the most complex computing, compression, and computer vision problems on the planet. If you are an exceptional engineer, data scientist, or industry expert looking to deploy real-world AI that reclaims waste and secures resources, we want to talk to you.
