Nube Minera

Name

Nube Minera

Legal name

Nube Minera

Website

https://nubeminera.cl

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Mining and Earth Sciences E-Learning

NAICS

Support Activities for Metal Mining (213114), Support Activities for Mining (213)

akta.pro primary industry

Mining & Metals (EDABALAT)

akta.pro secondary industries

Mineral Exploration & Geoscience Services (Geology, Geophysics, Geochemistry, Resource Modeling) (IMAKAKAA), Blasting & Explosives Services (Drill-and-Blast, Explosives Supply, Shot Services) (IMAKAKAC), Mine Operations Contracting (Open-Pit & Underground Development, Production, Load/Haul) (IMAKAKAD)

Keywords

• Mining education
• Geostatistics training
• Mine planning courses
• Resource estimation
• E-learning platform

Headquarters

HQ city

La Serena

HQ country

Chile

HQ region

Latin America

Offices1 record

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

1. Online Course Sales (One-time Purchase): Individual courses sold as one-time purchases with fixed-period subscriptions (2–24 months of access). Prices range from USD 65 to USD 999 depending on course depth and duration.
2. Freemium Courses: Platform offers free courses (Gratuitos category) to attract learners and upsell to paid courses. Free courses include EDM, DAP, PYT, MEM, FMCA, and others.
3. Consulting and Training Services: Company offers consulting and training services to mining sector clients. Mentioned under 'Clientes' section as 'servicios de consultoría y capacitación'.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Nube Minera sells asynchronous, online distance-education programs (e-learning courses and specializations) for mining and earth sciences professionals and students. The catalog spans 60 programs and 1,536 lessons covering geostatistics, mineral resource estimation, open-pit and underground mine planning, geological modeling, geophysics, drilling and blasting, and data science applied to mining, delivered through a WordPress-based LMS with integrated open-source tools such as SGeMS, Andes, and Python. The company also delivers paid consulting and corporate training services to mining companies.

Product overview

Nube Minera is an e-learning platform specializing in distance education for mining and earth sciences professionals. The platform offers over 60 asynchronous e-learning programs structured around key mining disciplines including mineral resource estimation, open pit and underground mine planning, geostatistics, geological modeling, and data science with Python. The core product portfolio includes specialized programs like ERM-V2 (Estimación de Recursos Minerales), PMC-V2 (Planificación Minera a Cielo Abierto), PMS-V2 (Planificación Minera Subterránea), and OMS-V2 (Operaciones Mineras Subterráneas), supplemented by individual courses covering geophysics, machine learning, Python programming, and mining operations. The platform serves over 13,600 students since 2017 with content delivered through a virtual campus, featuring software tools like Andes geostatistical modeling software and SGeMS integrated into curricula.

Differentiator

Problem solved

Functional benefit

Products and services

• Estimación de Recursos Minerales (ERM-V2) Six-course specialization program spanning multivariate statistical analysis of geological attributes, advanced geostatistics techniques, geological modeling, geostatistical simulation, artificial neural networks, and mineral resource classification. Bundles a 6-month license for the Andes geostatistical modeling software.
• Planificación Minera a Cielo Abierto (PMC-V2) Three-course program on open pit mine planning covering mine design parameters, nested pits with maximum flow algorithms, phase sequencing with direct block scheduling, and incorporation of geological uncertainty through geostatistical simulation.
• Planificación Minera Subterránea (PMS-V2) Advanced program on underground mine planning integrating design and stability analysis, extraction method selection, and production/development optimization using metaheuristics (genetic algorithms, simulated annealing, tabu search) and MILP/CP mathematical optimization models, deterministically and stochastically.
• Operaciones Mineras Subterráneas (OMS-V2) Comprehensive 87-class technical course on all unit operations in underground mining, including drilling, blasting, loading and hauling, ground support, and ventilation, delivered asynchronously over 12 months.
• Geofísica aplicada a la minería (GFM) Practical course on applied geophysics in mining covering the physical principles and most-used geophysical methods (electrical, magnetic, MT, TEM, GPR, gravimetric, seismic), their application at different mining project stages, and current trends including machine learning applications in geophysics.
• Dashboard de control en operaciones mineras usando Power BI (PB1) Course on Power BI for mining operations covering plant downtime analysis and maintenance backlog management, with a complete data analysis workflow from Power Query and DAX modeling through executive dashboard construction with real-time KPIs.
• Modelamiento Geológico Avanzado: Técnicas Implícitas y Machine Learning (GEOM-2) Advanced course on implicit geological modeling techniques using signed distance functions, integrated with machine learning for predictive geological models using Python and SGeMS.
• Estimación de recursos minerales con redes neuronales artificiales (RNA) Course on machine learning applied to mineral resource estimation using artificial neural networks for automatic geological model construction, estimation domain definition, and mineral grade estimation with Python 3 implementation.
• Introducción a Data Analytics en Geociencias con Python (DAP) Introductory course on data analytics in geosciences using Python, covering data loading, 3D visualization, statistics, geological controls, estimation unit definition, validations, multivariate analysis, and reporting using Pandas, NumPy, Matplotlib, and Plotly.
• Python para Ingeniería nivel básico (PYB) Beginner Python programming course for engineering students covering data types, control flow, functions, databases, Excel report generation, and engineering applications such as slope stability calculations.
• Geoestadística Aplicada a la Estimación de Recursos Minerales (GAERM) Comprehensive 40-hour theoretical-practical program covering geostatistical fundamentals and procedures for mineral resource estimation using Jupyter Notebook, SGeMS, and ParaView.
• Geoestadística Lineal Aplicada a Minería (GLAM) 17-hour supplementary course on linear geostatistics for mining covering exploratory data analysis, variogram modeling, kriging estimation, and resource categorization using SGeMS.
• Técnicas de modelamiento geológico (GEOM) Course on geological modeling techniques covering explicit and implicit methods, signed distance functions, RBF interpolation, kriging, indicator kriging, and sequential simulation using Python and SGeMS.
• Clasificación de Recursos Minerales (CRM) Course covering geometric and geostatistical criteria for mineral resource classification into measured, indicated, and inferred categories using SGeMS and Python.
• Simulación Geoestadística aplicada en Recursos Minerales (SIMGEO) Course on geostatistical simulation techniques for mineral resource evaluation covering multi-Gaussian model, sequential Gaussian simulation, and post-processing of conditional simulations using SGeMS.
• Diseño malla de producción para cielo abierto con implementación en Python (DMP) Course on empirical methods for open pit production blast pattern design implementing Pearse-Borquéz and Chiappetta methods through Python with dynamic 3D graphics output.
• Perforación y Tronadura en Minería de Superficie y Subterránea (PYT) Comprehensive 36-hour course on drilling and blasting for surface and underground mining covering drilling systems, explosives, blast design, equipment sizing, and rock fragmentation prediction.
• Optimización de Minas a Cielo Abierto Mediante Métodos de Flujo Máximo (OPTI) Course on open pit mine optimization using maximum flow methods including the Lerch-Grossman algorithm and efficient pseudoflow implementations for determining optimal pit limits.
• Procesamiento de datos con Pandas (PDP) Course on the Pandas data processing library covering dataframes, merging, grouping, reporting, and Excel-like operations for mining data including drill logs, block models, and mine plans.
• Geoestadística para mineros en Python (GP) Introductory course on statistical and geostatistical data analysis using Python covering data import, uni/bi-variate statistics, outlier detection, variogram modeling, kriging estimation, and 2D/3D visualization.
• Demostración de algoritmos en SGeMS (DAS II) Video tutorial covering SGeMS algorithms for 3D spatial modeling including estimation and geostatistical simulation algorithms such as kriging variants, co-kriging, and sequential simulation.
• Evaluación de Depósitos Minerales (EDM) Free introductory course covering mining exploration processes, sampling, statistical analysis, variography, spatial interpolation via geostatistical techniques, and resource classification into measured, indicated, and inferred categories.
• Consulting and Training Services to Mining Companies Paid consulting and corporate training services delivered to mining sector clients in geostatistics, mineral resource estimation, mine planning, and data science applied to mining (servicios de consultoría y capacitación).

Quantifiable outcome

• 13,610+ students trained since 2017
• +3 more outcomes

Named customers2 records

Segments2 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature5 records

Partnerships

Seven partnerships are on record, tiered core and minor.

• AndesitecoreTechnology or IntegrationAndesite is the creator of Andes geostatistical modeling software, a spin-off from ALGES laboratory at AMTC, Universidad de Chile. Nube Minera's ERM program (Estimación de Recursos Minerales) includes a free 6-month license for Andes software. CEO Fabian Soto Fernández is a co-founder of Andesite and serves as guest lecturer on Nube Minera's SIMGEO course.
• GeoInnova ConsultorescoreStrategic or Co-development PartnerGeoInnova Consultores is a mining consultancy that produces and narrates the DAP course (Introducción a Data Analytics en Geociencias con Python) on Nube Minera. Instructor Alan Toledo (Senior Software Engineer at GeoInnova) delivers the course content. GeoInnova is also listed as offering a signed diploma alongside Nube Minera.
• TerraSur GeofísicaminorOthersNicole Krumm, instructor of the GFM course (Geofísica aplicada a la minería), is co-founder of TerraSur Geofísica, a startup focused on geophysical modeling. Not a formal Nube Minera partnership but relevant as the instructor's professional affiliation.
• CODEAUNI (Perú)minorStrategic or Co-development PartnerCODEAUNI (Perú) collaborated with Nube Minera to produce the PDP course (Procesamiento de datos con Pandas), combining CODEAUNI's educational offerings with Nube Minera's platform.
• DELPHOS Laboratory (AMTC, Universidad de Chile)coreStrategic or Co-development PartnerThe DELPHOS laboratory at AMTC (Advanced Mining Technology Center), Universidad de Chile, is a research affiliate. Instructors Luis Álvarez Paredes and Heber Hernández have affiliations with DELPHOS. The AMTC's ALGES laboratory develops the Andes software bundled with Nube Minera's ERM program.
• OTEC InnovacapminorImplementation/ SI/ Consulting PartnerOTEC Innovicap authored the MEX course (Manipulador de explosivos en minería) on the Nube Minera platform. OTEC Innovicap is a training organization (Organismo Técnico de Capacitación) in the mining sector.
• Universidad Santo Tomás (Chile)minorOthersLuis Álvarez Paredes (lead instructor) is an academic at Universidad Santo Tomás. FPM course (Fundamentos de planificación minera a cielo abierto) is authored by Universidad Santo Tomás.

Scale indicators12 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Micromine: Micromine offers mining software (Micromine Origin, Beyond) along with structured training courses for geologists and engineers. Comparable in tool-anchored mining education, particularly across resource modeling and mine planning disciplines.
• Maptek: Maptek is an established mining technology vendor (Vulcan, DomainMCF) that bundles training programs and certifications around its software tools. Comparable to Nube Minera because it monetizes tool-anchored learning in mining, though Maptek's training is a complement to its core software business.
• Hexagon Mining: Hexagon Mining is a major mine planning and operations software vendor (MinePlan, HxGN SDMine) with extensive customer training programs. Overlaps with Nube Minera on mine planning and resource estimation content, though Hexagon's training is bundled with enterprise software sales.
• Datamine: Datamine is a mining software vendor (Studio RM, MineScout) with a training academy covering resource estimation, mine planning, and geological modeling. Comparable to Nube Minera in delivering software-anchored mining education, though primarily serving English-speaking enterprise customers.
• Dassault Systèmes (GEOVIA): GEOVIA (Dassault Systèmes) provides mine planning and geological modeling software (Surpac, GEMS) and offers formal training and certification programs. Comparable in delivering tool-integrated mining education, particularly in geological modeling and resource estimation.
• Coursera: Coursera is a global MOOC platform offering mining and data science courses from universities (e.g., Colorado School of Mines). Comparable as a competing channel for self-paced technical upskilling, though its mining catalog is narrow versus Nube Minera's vertical depth.

Direct peers

• EduMine: EduMine is a long-standing online professional development platform dedicated exclusively to mining, offering hundreds of courses and webinars across geostatistics, mine planning, and mineral processing. It is the closest direct comparable to Nube Minera in product category, though it serves an English-speaking global audience rather than LATAM.

Others

• SRK Consulting: SRK Consulting is a global mining consultancy that runs short courses and training workshops (often via EduMine) for resource estimation and geostatistics. Comparable as an ecosystem participant delivering high-end mining education, though primarily consulting-led rather than a pure e-learning platform.
• Snowden Optiro: Snowden Optiro is a mining consultancy offering public and in-house training in geostatistics and resource estimation. Comparable as a provider of practitioner-led mining education, though it competes more on consulting than on a scalable e-learning catalog.

Emerging players

• DataCamp: DataCamp is an online data science education platform with strong Python, machine learning, and applied analytics courses. Comparable to Nube Minera in teaching applied Python for technical domains, though it lacks mining-specific content and Spanish-language curriculum.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/nube_minera
• Facebookfacebook.com/nubeminera
• LinkedInlinkedin.com/company/nube-minera

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Nube Minera