Metaspectral

Metaspectral develops an AI platform for hyperspectral data analysis and processing that turns spectral and geospatial imagery into explainable material intelligence for industrial sorting, Earth observation, defense, and emissions monitoring applications. The platform comprises three products: Clarity Recover, which provides real-time edge inference and sorting for industrial material recovery facilities (MRFs) to identify complex polymers and hard-to-sort materials at operational speeds; Clarity Geo, which delivers geospatial analysis, classification, and monitoring for Earth observation workflows including mining and minerals mapping, agricultural crop stress detection, and defense material detection; and Clarity Plume, which provides continuous detection, quantification, and reporting for greenhouse gas and chemical emissions monitoring. The platform's technology stack includes data compression to reduce the cost of moving large spectral datasets, deployable inference for edge or cloud environments, and explainability features that give technical teams inspectable, reviewable outputs. Metaspectral partners with Planet Labs to deliver spectral intelligence from Planet Tanager hyperspectral satellite data. The company quantifies outcomes through measured recovery uplift, analyst efficiency gains, and validated detection thresholds. Founded in 2018 and headquartered in Vancouver, Canada, Metaspectral has raised $4.7 million in a Seed round backed by the Canadian Space Agency, Soma Capital, Acequia Capital, the Government of Canada, the Government of British Columbia, Victory Square Technologies, and Starburst.

Business Intelligence > Unstructured Data Analytics > Image and Video Analytics > Image,

Big Data Analytics > Data Analytics > Image & Video Analytics > Image,

Security & Surveillance Technology > Surveillance > Video Surveillance > Analytics

College Wise > Wharton School, University of Pennsylvania, Stanford Business School, Stanford University