ALS – Geoanalytics
ALS Geoanalytics is the AI and data science service division of ALS Limited (ASX: ALQ), serving global mining and exploration companies with five integrated modules spanning field data acquisition, orebody modelling, predictive analytics, Computer Vision core logging, and proprietary spatial machine learning for geological domaining.
- Company typePublic
- Founded2016
- HeadquartersNorth Vancouver, Canada
- Headcount51–100
- GTM typeB2B
- OfferingServices
What ALS – Geoanalytics does
ALS Geoanalytics is a service division within ALS Limited (ASX: ALQ), a publicly listed Australian testing, inspection, and certification company with operations across more than 30 countries. Headquartered in North Vancouver, Canada, and established in 2016, the unit integrates data science, machine learning, artificial intelligence, and geoscience expertise to serve the global mining and exploration industry. The division employs 51–100 staff organized around five integrated service modules: Data Generation (field acquisition including regional soil/rock/stream sampling, geophysical surveys, drilling supervision and logging, geological mapping, and Computer Vision image analysis); Orebody Knowledge, Modelling & Estimation (mineral deposit characterization for resource evaluation and mine design); Artificial Intelligence Analysis & Automation (prospectivity analysis, exploration drill targeting, geological maps, and automated core logging); Geoscience Expertise (data science processing of historic and modern mining data); and Downhole Data Domaining (a proprietary spatial-aware machine learning clustering technique for geological domain classification).
The technology stack combines internally developed data science tools with multimodal AI applied to geological, geochemical, geophysical, and image data. Downhole Data Domaining is positioned as a proprietary differentiator that incorporates spatial components (neighbourhood analysis) alongside numeric variables to overcome limitations of typical clustering algorithms. Engagement is delivered through ALS Limited's broader client infrastructure, including the ALS Solutions portal, Geochemistry Webtrieve (featuring CoreViewer and ALS QCPro), and Tribology 360.
Commercially, ALS Geoanalytics operates a professional services model with enterprise field sales as the primary go-to-market motion. Customers are acquired through direct engagement, the website's "Request a Meeting" channel (with a stated 24-hour response commitment), and integration with ALS Limited's global sales organization. The customer base consists of enterprise and mid-market mining and exploration companies, with public testimonials from Orogen Royalties Inc. and Blue Star Gold Corp. Pricing is not publicly disclosed. As a service line within ALS Limited, the division does not have standalone financial disclosures, limiting revenue, profitability, and headcount trend visibility.
ALS – Geoanalytics firmographics
Firmographics- Name
- ALS – Geoanalytics
- Legal name
- ALS Limited
- Website
- https://goldspot.ca
- Company type
- Public
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- ALS Geoanalytics is the AI and data science service division of ALS Limited (ASX: ALQ), serving global mining and exploration companies with five integrated modules spanning field data acquisition, orebody modelling, predictive analytics, Computer Vision core logging, and proprietary spatial machine learning for geological domaining.
- Ownership category
- akta.pro rank
ALS – Geoanalytics industry classification
Industry- Product category
- Geoscience & Mining Analytics Services
- NAICS
- Support Activities for Mining (213), Support Activities for Metal Mining (213114)
- akta.pro primary industry
- Mineral Exploration & Geoscience Services (Geology, Geophysics, Geochemistry, Resource Modeling) (IMAKAKAA)
- akta.pro secondary industry
- Mine Surveying & Geospatial Services (Survey, Drone/LiDAR, GIS, Grade Control) (IMAKAKAK)
Keywords
Where ALS – Geoanalytics is headquartered
LocationHeadquarters
- HQ city
- North Vancouver
- HQ country
- Canada
- HQ region
- North America
Markets served
ALS – Geoanalytics business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Geoanalytics Consulting Services: Professional consulting services integrating data science, AI technology, and geoscience expertise to help mining and exploration companies transform data into valuable insights. Services include data generation, orebody knowledge modeling, AI analysis and automation, geoscience expertise, and downhole data domaining.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels1 record
ALS – Geoanalytics product offering
Product offeringCore offering
ALS Geoanalytics delivers AI-powered consulting services that integrate data science, machine learning, and geoscience expertise to help mining and exploration companies transform geological, geochemical, and geophysical data into actionable insights. The offering combines five integrated service modules — field data acquisition, orebody knowledge modeling, AI analysis and automation, geoscience data processing, and downhole data domaining — to enable prospectivity analysis, drill targeting, automated core logging, and mineral deposit characterization.
Product overview
ALS Geoanalytics is a comprehensive geoanalytics platform that integrates data science, cutting-edge AI technology, and geoscience expertise to help mining and exploration managers transform data into valuable insights. The offering consists of five integrated service modules: Data Generation (field data acquisition including soil/rock/stream sampling, geophysical surveys, drilling supervision, and Computer Vision image analysis), Orebody Knowledge Modelling & Estimation (mineral deposit characterization), Artificial Intelligence Analysis & Automation (AI-powered interpretation, prospectivity analyses, drill targeting, and automated core logging), Geoscience Expertise (data science processing of historic and mining data), and Downhole Data Domaining (spatial machine learning for accurate geological domain classification). These services work together to enable real-time decision-making for improved output and faster time-to-market in mining operations.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Generation Field Data Acquisition Services focusing on regional soil/rock/stream sampling, geophysical surveys, drilling supervision and logging, geological mapping, and site visits for historic data validation. Utilizes Computer Vision image analysis for logging. Targeted at mining and exploration companies needing primary geological data.
- Orebody Knowledge, Modelling & Estimation Characterization of mineral deposits including size, shape, grade, structure, and location information used for mine design, resource evaluation, and investment decision-making. Targeted at mining operators and exploration managers.
- Artificial Intelligence Analysis & Automation AI-driven workflows for rapid interpretation of large geological data volumes, producing prospectivity analyses, exploration drill targeting, geological maps, and automated core logging. Targeted at mining and exploration managers seeking data-driven decision support.
- Geoscience Expertise Data science and AI processing service for handling incomplete, sparse, and noisy historic geological and mining data using internally developed tools. Targeted at mining companies needing fit-for-purpose datasets.
- Downhole Data Domaining Machine learning clustering technique that incorporates spatial components (neighbourhood analysis) with numeric variables to create more accurate real-world geological domains, overcoming limitations of typical clustering algorithms. Targeted at resource modellers and geologists.
Quantifiable outcome
- Produced high-quality geological targets and products that guided field season of reconnaissance from poorly sorted regional geochemical database
Companies that use ALS – Geoanalytics
Customer profileNamed customers2 records
Segments1 record
Ideal customer profiles2 records
ALS – Geoanalytics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability9 records
Feature5 records
ALS – Geoanalytics partnerships and signals
Strategic signalScale indicators1 record
Recent moves5 records
Expansion highlights5 records
ALS – Geoanalytics competitors and assessment
Company assessmentDirect peers
- Maptek: Privately held mining technology provider offering geological modeling, resource estimation, and mine planning software used by major and mid-tier miners. Overlaps with ALS Geoanalytics on orebody knowledge, modelling, and AI-assisted exploration workflows.
- Minerva Intelligence: Canada-based AI company applying machine learning to mineral exploration, prospectivity mapping, and geological targeting. Closely comparable to ALS Geoanalytics' AI Analysis & Automation service line and competes for the same mining exploration customers.
- IMDEX: ASX-listed mining-tech company offering drilling optimization, real-time downhole sensing, and analytics to mineral exploration and production clients. Highly comparable as it sells data-driven exploration services to the same mining vertical, though with stronger hardware/IoT emphasis.
Broad incumbents
- SLB (Schlumberger): Global oilfield services and digital technology major whose Landmark and geo-science offerings provide AI/ML-enabled subsurface modeling. Comparable as a broad incumbent offering AI-powered geoscience analytics to natural-resource explorers, though primarily upstream oil & gas rather than mining.
- Sequent (Bentley Subsurface): Geological and geoscience modeling software suite (Leapfrog, GeoStudio) now owned by Bentley Systems. Comparable as a 3D geological modeling and resource estimation platform used by the same mining and exploration customers.
- CGG (Compagnie Générale de Géophysique): Global geoscience company providing seismic data acquisition, processing, and AI-enhanced subsurface imaging primarily to oil & gas but with multi-mineral extension. Comparable as a broad incumbent in AI-applied geoscience services.
Emerging players
- Veracio: Spin-out from Boart Longyear delivering AI-enabled core scanning, orebody knowledge, and analytical workflows to miners. Comparable in that it combines physical core data capture with AI-driven interpretation in the mining exploration workflow.
- Earth AI: Early-stage AI-driven mineral exploration company combining proprietary targeting algorithms with field drilling campaigns. Comparable in using AI to generate prospectivity analyses and drill targets for greenfield exploration.
- KorrAI Technologies: AI/data analytics company focused on mineral exploration data integration and target generation. Comparable in offering AI-driven prospectivity analysis to early-stage and mid-tier mining explorers.
- Datarock: Australian AI/ML company applying computer vision and machine learning to mining imagery and core photography analysis. Directly comparable to ALS Geoanalytics' Computer Vision core logging capability.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks4 records
Key highlights6 records
Customer concentration
ALS – Geoanalytics financial estimates
Financial estimateRevenue estimate
Valuation estimate
ALS – Geoanalytics leadership team
Management profileNumber of profiles
ALS – Geoanalytics funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
ALS – Geoanalytics 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 ALS – Geoanalytics
What does ALS – Geoanalytics do?
ALS Geoanalytics delivers AI-powered consulting services that integrate data science, machine learning, and geoscience expertise to help mining and exploration companies transform geological, geochemical, and geophysical data into actionable insights. The offering combines five integrated service modules — field data acquisition, orebody knowledge modeling, AI analysis and automation, geoscience data processing, and downhole data domaining — to enable prospectivity analysis, drill targeting, automated core logging, and mineral deposit characterization.
Is ALS – Geoanalytics a public or private company?
ALS – Geoanalytics is a public company. It is classified as public and is currently operating.
When was ALS – Geoanalytics founded?
ALS – Geoanalytics was founded in 2016. It employs 51 to 100 people.
Where is ALS – Geoanalytics based?
ALS – Geoanalytics is headquartered in North Vancouver, Canada, in the North America region.
How does ALS – Geoanalytics make money?
One revenue line is on record: geoanalytics Consulting Services.
Who are ALS – Geoanalytics's main competitors?
Direct peers on record are Maptek, Minerva Intelligence and IMDEX. Broad incumbents are SLB (Schlumberger), Sequent (Bentley Subsurface) and CGG (Compagnie Générale de Géophysique). Emerging players are Veracio, Earth AI, KorrAI Technologies and Datarock.
Does ALS – Geoanalytics have an API?
No public API is recorded for ALS – Geoanalytics.
What industry is ALS – Geoanalytics in?
ALS – Geoanalytics's product category is Geoscience & Mining Analytics Services. Its primary akta.pro industry code is IMAKAKAA, Mineral Exploration & Geoscience Services (Geology, Geophysics, Geochemistry, Resource Modeling), with a secondary code of IMAKAKAK, Mine Surveying & Geospatial Services (Survey, Drone/LiDAR, GIS, Grade Control). Its NAICS code is 213.