Spectral Intelligence
Customers Can Act On.
Metaspectral helps industrial, Earth observation, defense, and emissions teams detect what conventional sensors and imagery often miss, then review the evidence, confidence, and context behind every result.
Our ClarityAI platform turns complex hyperspectral data into decision-ready intelligence for real operating environments, so customers can classify materials, identify surface conditions, detect hidden or sub-pixel targets, monitor emissions, and accelerate expert review without building a custom spectral AI pipeline from scratch.
Built to Make Spectral Data Operational
Metaspectral was founded to solve a practical customer problem: spectral data contains extraordinary intelligence, but most organizations cannot easily use it in time-sensitive operational workflows.
Hyperspectral sensors can reveal material composition, chemical signatures, crop stress, mineralogy, emissions activity, and concealed anomalies. But the data is large, complex, and difficult to interpret without specialized infrastructure and expert review.
Metaspectral built ClarityAI to close that gap. The platform helps customers convert spectral data into outputs their teams can evaluate, trust, and use, whether the workflow is material recovery, mineral exploration, crop monitoring, defense analysis, or emissions reporting.
See What Conventional Systems Miss
Customers use spectral intelligence to identify materials, surface conditions, plume activity, and hidden or sub-pixel signals that are difficult to detect with RGB, multispectral, or conventional inspection workflows.
Move from Detection to Decision
ClarityAI helps teams turn detections, classifications, anomaly maps, and spectral evidence into reviewable outputs matched to the customer's operating workflow.
Trust the Intelligence Behind the Output
Metaspectral designs outputs with confidence context, spectral evidence, and analyst review in mind, so AI results can support expert judgment rather than operate as an unexplained black box.
Where Customers Use Spectral Intelligence
Different workflows, same customer need: trusted intelligence from spectral data that teams can evaluate, compare, and act on.
Industrial Sorting
Improve recovery value, reduce contamination, and classify difficult material streams in real time, especially when conventional optical sorting cannot reliably distinguish materials.
Earth Observation
Help EO teams convert hyperspectral imagery into explainable maps, detections, and monitoring outputs for agriculture, mining, defense, and environmental workflows.
Defense & Intelligence
Support analysts with spectral evidence for concealed materials, sub-pixel anomalies, and hard-to-detect surface conditions in complex environments.
Emissions Monitoring
Help operators, regulators, and asset owners detect, quantify, and review plume activity across large areas with evidence-linked reporting.
Built for Decisions Where Accuracy, Speed, and Reviewability Matter
Metaspectral serves customers working in environments where missed signals, slow analysis, or unexplained AI outputs can create operational risk.
Accuracy Customers Can Review
ClarityAI is designed to produce outputs that can be inspected by customer teams, supported by spectral evidence, confidence context, and workflow-specific review criteria.
Performance for Real Operating Environments
Metaspectral's compression and inference capabilities help customers process large spectral datasets efficiently across cloud, edge, and field environments where bandwidth, latency, and throughput matter.
AI That Supports Human Judgment
Metaspectral's approach to XAI is not a slogan. Customers need to understand the evidence behind detections, evaluate confidence, and decide how outputs should be used in their operational or regulatory context.
We help customers make faster, more trusted decisions from hyperspectral data. ClarityAI makes that possible through deep learning, compression, explainable analysis, and deployable inference.
Deep-Tech Specialists Focused on Customer Outcomes
Headquartered in Vancouver and deployed globally, Metaspectral brings together deep learning scientists, spectral imaging specialists, FPGA architects, and software engineers focused on helping customers turn complex spectral data into operational 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
Jonathan Trueblood
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
