Metaspectral
Metaspectral builds the Clarity cloud platform, applying proprietary deep learning to hyperspectral imagery for real-time material identification and classification, serving industrial recycling operators, mining, agriculture, defense, and emissions monitoring customers.
- Company typePrivate
- Founded2018
- HeadquartersVancouver, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Metaspectral does
Metaspectral is a Vancouver-based private company that builds the Clarity platform, a cloud-based system for analyzing hyperspectral imagery in real time and converting spectral data into explainable material intelligence. The company's core technology combines proprietary deep learning models (including Base CNN and Adaptive CNN architectures), spectral analysis, and explainable AI to classify materials, perform unmixing, detect targets, and run regression on high-dimensional spectral and geospatial data. The product surface is organized into three vertical modules built on a shared platform: Clarity Recover for real-time edge inference and sorting in industrial Materials Recovery Facilities (MRFs), automotive recycling, and mineral processing; Clarity Geo for Earth observation use cases in mining, agriculture, defense and intelligence; and Clarity Plume for continuous greenhouse gas and chemical plume detection and emissions reporting. An agentic Clarity AI assistant with Deep Research Mode and a Python SDK (Fusion SDK) extend the platform into natural-language workflow building and programmatic analyst use.
Metaspectral operates a subscription-based SaaS revenue model delivered through cloud deployment, with a quote-based enterprise pricing approach and a structured Evaluate-Validate-Deploy sales motion. Go-to-market is direct enterprise field sales targeting industrial operators (recycling, automotive shredding, mining), aerospace and defense buyers, and government agencies. Distribution channels include direct enterprise sales, the self-service Clarity cloud platform, and a native ArcGIS Pro add-in distributed through the Esri ArcGIS Marketplace, giving access to Esri's geospatial installed base. Validation is anchored in published research, including collaborative work with the University of British Columbia on waste wood composite classification (up to 100% accuracy under controlled conditions, 91.2% on real landfill material) and benchmark performance on the Toulouse hyperspectral dataset.
The company was founded in 2018 and had raised approximately $5.27M in cumulative disclosed funding as of the most recent grant event, led by a $4.7M seed round in November 2022 (Soma Capital, Acequia Capital, Government of Canada), with additional non-dilutive funding from the CleanBC Plastics Action Fund and Environment and Climate Change Canada. Operating geographies include British Columbia with international interest, and headcount sits in the 11-50 range. Founded by Francis Doumet (CEO) and Migel Tissera (CTO), the company is positioned as a specialist AI vendor for high-consequence spectral and geospatial decisions across industrial sorting, Earth observation, defense, and emissions monitoring.
Metaspectral firmographics
Firmographics- Name
- Metaspectral
- Legal name
- Metaspectral
- Website
- https://metaspectral.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Metaspectral builds the Clarity cloud platform, applying proprietary deep learning to hyperspectral imagery for real-time material identification and classification, serving industrial recycling operators, mining, agriculture, defense, and emissions monitoring customers.
- Ownership category
- akta.pro rank
Where Metaspectral is headquartered
LocationHeadquarters
- HQ city
- Vancouver
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
Metaspectral business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Infrastructure, Marketing or Sales
Revenue model
- Clarity Platform SaaS: Cloud-based software platform delivered as subscription service for hyperspectral data analysis, model training, and inference generation. Enterprise evaluation path with material testing before deployment.
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Metaspectral product offering
Product offeringCore offering
Metaspectral develops and operates the Clarity platform, a cloud-based system that applies deep learning and explainable AI to hyperspectral imagery for real-time material identification. The platform delivers industrial sorting capabilities (Clarity Recover™) for Material Recovery Facilities and recycling operations, Earth observation analytics (Clarity Geo™) for satellite and airborne geospatial analysis, and emissions monitoring (Clarity Plume™) for atmospheric plume detection, with a Python SDK for programmatic access. Customers are enterprise and government operators in plastics recycling, automotive shredding, mineral processing, mining exploration, agriculture, defense, and emissions compliance.
Product overview
Metaspectral offers the Clarity platform, a unified cloud-based system for hyperspectral data analysis. The platform architecture consists of a core platform providing compression, deployable inference, explainable analysis, and spectral/geospatial workflow infrastructure. Three core product modules build on this platform: Clarity Recover for industrial recycling and material sorting, Clarity Geo for Earth observation and geospatial analysis, and Clarity Plume for emissions monitoring. Additional capabilities include Clarity AI for natural-language workflow assistance and Deep Research Mode, plus a Python SDK for programmatic access. The platform supports classification, unmixing, target detection, and regression model types using proprietary CNN architectures.
Differentiator
Problem solved
Functional benefit
Brands
- Clarity Recover™: Real-time edge inference and sorting for Industrial MRFs (Materials Recovery Facilities).
- Clarity Geo™
- Clarity Plume™
- Clarity Platform
Products and services
- Clarity Recover™ Real-time edge inference and sorting solution for Industrial Materials Recovery Facilities (MRFs). Identifies complex polymers and hard-to-sort materials at operational speeds, enabling improved recovery rates and bale quality in plastics recycling, automotive recycling, and mineral processing operations.
- Clarity Geo™ Geospatial analysis, classification, and monitoring platform for Earth observation workflows. Detects, classifies, and monitors material signatures across large environments using satellite (e.g., EnMAP) and airborne hyperspectral data for mining exploration, agriculture, and defense applications.
- Clarity Plume™ Continuous detection, quantification, and reporting solution for atmospheric emissions monitoring workflows. Tracks greenhouse gas and chemical plume activity across large areas for industrial infrastructure monitoring and compliance reporting.
- Clarity Core Platform Cloud-based foundational platform providing hyperspectral data compression, deployable inference, explainable analysis, and infrastructure for spectral and geospatial workflows. Powers the Clarity Recover, Clarity Geo, and Clarity Plume product lines and supports cloud and edge deployment environments.
- Clarity SDK (Fusion SDK) Python client library for programmatic interaction with the Clarity platform. Allows users to upload imagery, manage labels, pull datasets and model artifacts, and read inference results from their own scripts and notebooks. Provisioned to specific customers on request as part of the platform offering.
Quantifiable outcome
- Up to 100% accuracy under controlled conditions and 91.2% on real landfill material for waste wood composite classification
- +2 more outcomes
Companies that use Metaspectral
Customer profileNamed customers1 record
Segments7 records
Ideal customer profiles3 records
Metaspectral technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability7 records
Feature8 records
Metaspectral partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Planet TanagercorePlanet Tanager is listed as a partner on the Metaspectral website, indicating integration or collaboration for satellite/sensor data workflows in earth observation applications.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Metaspectral competitors and assessment
Company assessmentDirect peers
- Descartes Labs: Geospatial analytics platform applying deep learning to satellite imagery for agriculture, mining, and sustainability use cases. Direct competitor to Clarity Geo on AI-driven hyperspectral and multispectral Earth observation workflows.
- Orbital Insight: Geospatial analytics company offering AI-driven insights from satellite, UAV, and other sensor imagery for defense, agriculture, energy, and financial services. Overlaps with Clarity Geo on EO analytics and target detection.
- BlackSky Holdings: Provider of real-time geospatial intelligence combining its own satellite constellation with AI-driven analytics. Overlaps with Clarity Geo on EO analytics, monitoring, and defense applications.
- Kayrros: Geospatial analytics company focused on environmental and energy intelligence, including methane emissions monitoring from satellite data. Direct competitor to Clarity Plume on continuous emissions quantification and reporting.
Broad incumbents
- Planet Labs: Operator of one of the largest commercial satellite constellations, providing daily imagery and an analytics platform. Competitor to Metaspectral on the satellite EO side and a potential upstream data partner through Planet Tanager integration.
- Maxar Technologies: Major provider of high-resolution satellite imagery and geospatial intelligence to defense and intelligence customers. Competes with Clarity Geo on defense and EO analytics, and has substantially greater scale and sensor assets.
- TOMRA: Global leader in sensor-based sorting for recycling, mining, and food industries. Direct competitor to Clarity Recover in industrial sorting, with established installed bases at MRFs worldwide.
- Steinert: Provider of magnetic and sensor-based sorting equipment for recycling and mining. Competes with Clarity Recover in industrial material sorting with deep relationships at MRFs and mineral processors.
Emerging players
- Pixxel: Hyperspectral satellite operator building a constellation of high-resolution hyperspectral satellites with associated analytics. Closest direct competitor on the hyperspectral EO side, with potential partnership or competitive tension as both target similar use cases.
- Satellogic: Earth observation company building a constellation of sub-meter resolution satellites with analytics offerings. Adjacent competitor to Clarity Geo, especially for customers seeking combined imagery and analytics subscriptions.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Metaspectral social profiles
Digital presenceMetaspectral financial estimates
Financial estimateRevenue estimate
Valuation estimate
Metaspectral leadership team
Management profileNumber of profiles
Profiles2 records
Metaspectral funding detail
Funding detailFunding overview
Funding rounds6 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Metaspectral M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Metaspectral
What does Metaspectral do?
Metaspectral develops and operates the Clarity platform, a cloud-based system that applies deep learning and explainable AI to hyperspectral imagery for real-time material identification. The platform delivers industrial sorting capabilities (Clarity Recover™) for Material Recovery Facilities and recycling operations, Earth observation analytics (Clarity Geo™) for satellite and airborne geospatial analysis, and emissions monitoring (Clarity Plume™) for atmospheric plume detection, with a Python SDK for programmatic access. Customers are enterprise and government operators in plastics recycling, automotive shredding, mineral processing, mining exploration, agriculture, defense, and emissions compliance.
Is Metaspectral a public or private company?
Metaspectral is a private company. It is classified as venture growth investor backed and is currently operating.
When was Metaspectral founded?
Metaspectral was founded in 2018. It employs 11 to 50 people.
Where is Metaspectral based?
Metaspectral is headquartered in Vancouver, Canada, in the North America region.
How does Metaspectral make money?
One revenue line is on record: clarity Platform SaaS.
Who are Metaspectral's main competitors?
Direct peers on record are Descartes Labs, Orbital Insight, BlackSky Holdings and Kayrros. Broad incumbents are Planet Labs, Maxar Technologies, TOMRA and Steinert. Emerging players are Pixxel and Satellogic.
Does Metaspectral have an API?
Yes. The Fusion SDK is a Python client for interacting with the Clarity platform programmatically. It lets users upload imagery, manage labels, pull down datasets and model artifacts, and read inference results from their own scripts and notebooks. The SDK is distributed as a Python wheel (fusion_sdk--py3-none-any.whl) provided by the Metaspectral team and is provisioned to specific customers on request, not part of the standard platform package. API reference documentation available at https://docs.clarity.metaspectral.com/api Developer documentation is at docs.clarity.metaspectral.com/api.