What Earth Science Analytics does

Earth Science Analytics AS is a Norwegian artificial intelligence software company that builds cloud-native geoscience platforms for the energy industry. Founded in 2016 in Stavanger by four domain experts with PhDs in geology, geophysics, and electromagnetics, the company developed EarthNET, an integrated AI platform that ingests, contextualises, and analyses subsurface data including seismic surveys, well logs, core images, and cuttings samples. The platform comprises specialised AI modules: AI Wells for predictive log imputation and reservoir property prediction, AI Seismic Interpretation for automated fault and horizon detection, AI Seismic Properties for 3D property volume generation, and AI Images for computer-vision-based rock sample interpretation. A composite workflow propagates predictions across millimetre-to-kilometre scales.

The company monetises through three revenue streams: (1) subscription-based SaaS licensing of EarthNET, (2) multi-client data products including pre-interpreted NCS well, core, and cuttings datasets and basin-scale 3D property volumes sold to multiple operators, and (3) professional consulting services for AI implementation and joint R&D. Customers are primarily enterprise oil & gas majors and national oil companies including TotalEnergies, PETRONAS, Equinor, Saudi Aramco, ConocoPhillips, and Wintershall Dea, with adjacent expansion into CCS (Horisont Energi, Gulf of Mexico CCUS product) and renewable energy. Distribution is driven by direct enterprise field sales augmented by strategic channel partnerships with TGS, AWS, PETRONAS, and DUG Technology.

In March 2026, ASX-listed IMDEX Limited acquired an 80.5% controlling stake for A$26 million (~NOK 173 million), with the remaining minority shareholding to be acquired over four years. The transaction integrates EarthNET with IMDEX's existing digital mining offerings (Datarock, aiSIRIS, Mineportal). Co-founder Eirik Larsen transitioned to Chief Solutions Officer, and Courtney Diezi joined as General Manager in 2026.

Name

Earth Science Analytics

Legal name

Earth Science Analytics AS

Website

https://earthanalytics.ai

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

51–100 employees

Short description

Earth Science Analytics builds EarthNET, a cloud-native AI platform that analyses subsurface energy data (seismic, wells, rock images) for oil & gas majors, NOCs, and CCS operators. Founded 2016 in Stavanger, Norway; majority-acquired by IMDEX Limited in 2026.

Ownership category

akta.pro rank

Product category

AI Geoscience Software / Subsurface Data Analytics

NAICS

Geophysical Surveying and Mapping Services (54136), Support Activities for Mining (213), Environmental Consulting Services (54162)

SIC

Oil & Gas Field Exploration Services (1382)

akta.pro primary industry

Seismic & Geoscience Services (Acquisition, Processing, Interpretation) (EUALABAK)

akta.pro secondary industries

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Remote Sensing & Geospatial MRV (Satellite, Aerial, LiDAR, SAR) (EUABACAF)

Keywords

• AI geoscience software
• Subsurface data analytics
• Seismic interpretation AI
• Well log prediction
• Carbon storage characterization

Headquarters

HQ city

Stavanger

HQ country

Norway

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Software Licensing (EarthNET SaaS): Cloud-native web-based platform subscription providing access to EarthNET AI tools, data lake, and visualisation capabilities. Software is accessed via web browser with cloud-based processing. Licenses include standard support.
2. Multi-Client Data Products: Pre-packaged, curated subsurface data (well logs, core images, cuttings samples, 3D property volumes) for specific geographic areas sold to multiple clients. Revenue generated through data licensing agreements.
3. Consulting Services: Expert geoscience and data science consulting to help clients implement AI workflows, optimise subsurface operations, and achieve specific business objectives. Includes project-based engagements and R&D collaborations.

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

Core offering

Earth Science Analytics sells EarthNET, a cloud-native, web-based AI-driven geoscience platform that liberates, contextualises, and analyses subsurface data (wells, seismic, cores, cuttings) for energy companies. The platform delivers pre-trained machine-learning models for well-log prediction, automated seismic interpretation, 3D property volume generation, and computer-vision rock-sample analysis, alongside curated multi-client data packages and consulting services. Customers are major oil and gas operators, CCS developers, and renewable-energy companies seeking faster, more accurate subsurface decisions.

Product overview

Earth Science Analytics offers EarthNET, a cloud-native, web-based AI-driven geoscience platform comprising multiple integrated modules. The core EarthNET platform includes specialized AI modules: AI Images for computer vision-based rock sample interpretation, AI Wells for predictive well log analysis, AI Seismic interpretation for automated fault and horizon detection, and AI Seismic properties for 3D property volume prediction. Supporting these are the Data Lake for data orchestration and contextualization, Viewer for visualization, and Insights for analytics. The platform operates on a composite workflow architecture that integrates data across multiple scales—from rock samples (millimeter) through well logs (meter) to seismic data (kilometer)—propagating predictions across scales. Earth Science Analytics also provides multi-client data products (analytics-ready datasets for the NCS and Gulf of Mexico) and consulting services.

Differentiator

Problem solved

Functional benefit

Brands

• EarthNET: Groundbreaking suite of AI-driven geoscience tools leveraging cloud-technology, high performance computing, and artificial intelligence for subsurface data liberation and workflow innovation.

Products and services

• EarthNET Platform Cloud-native, web-based AI-driven geoscience platform integrating multiple modules (Data Lake, AI Wells, AI Seismic Interpretation, AI Seismic Properties, AI Images, Viewer, Insights) for subsurface data liberation and interpretation, sold on subscription to enterprise energy operators.
• EarthNET Data Lake Cloud-based data orchestration and contextualisation layer connecting to OSDU, company databases, cloud, and on-premises storage, providing high-speed access to subsurface data with metadata tagging and version control.
• EarthNET Viewer Browser-based visualisation module for viewing and interacting with subsurface data including seismic volumes, well logs, and interpretation results.
• EarthNET AI Wells Machine-learning module for predicting missing well logs and reservoir properties (porosity, lithology, water saturation) using models trained on quality-controlled data, supporting basin-scale processing of 5,000+ wells.
• EarthNET AI Seismic Interpretation AI module for automated seismic interpretation including fault detection, geobody extraction, and horizon tracking using pre-trained 2D and 3D models.
• EarthNET AI Seismic Properties AI module for predicting reservoir and elastic properties (Vp, Vs, density, porosity, lithology) from seismic data as 3D property volumes covering vast areas.
• EarthNET AI Images Computer-vision module for automated interpretation of rock-sample images (cuttings, core, thin-sections) using image classification, object detection, and semantic segmentation, with built-in data-labelling functionality.
• EarthNET Insights Analytics and visualisation module for deriving insights from integrated subsurface data across multiple scales (samples, wells, seismic).
• EarthNET AI Faults Pre-trained fault-interpretation models producing fault probability volumes and planes using 2D and 3D neural network architectures, with interactive workflows featuring active learning and fault-plane extraction.
• Basin-scale 3D-property volumes for the Northern North Sea Multi-client data package providing basin-scale 3D property volumes (lithology, porosity, and other reservoir properties) for the Northern North Sea, sold to multiple enterprise subscribers.
• CCUS capacity and risk of key prospects in the US Gulf of Mexico Multi-client data package assessing CCUS (Carbon Capture, Utilization and Storage) capacity and risk of key prospects in the US Gulf of Mexico.
• 3D property volumes based on the Utsira OBN survey Multi-client data product providing AI-derived 3D property volumes (porosity, lithology, water saturation, fault interpretations) from the world's largest OBN survey, distributed via TGS data rooms and premium subscriptions.
• Interpreted well data from all released wells on the NCS Multi-client data package providing interpreted well data (lithology, porosity, water saturation, and other property logs) from all released wells on the Norwegian Continental Shelf.
• Interpreted core images from the NCS Multi-client data package providing interpreted core images from all released wells on the Norwegian Continental Shelf, enabling rapid screening for exploration and CCS storage opportunities.
• Interpreted cuttings samples from the NCS Multi-client data package providing interpreted cuttings samples from all released wells on the Norwegian Continental Shelf, enabling rapid screening for exploration opportunities and CCS storage sites.
• Consulting Services Expert geoscience and data-science consulting services guiding clients through AI/ML adoption and integration of EarthNET into existing exploration, production, and CCS workflows, delivered via project-based engagements and R&D collaborations.

Quantifiable outcome

• 90% reduction in interpretation time
• +5 more outcomes

Named customers12 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability9 records

Feature8 records

Partnerships

Eleven partnerships are on record, tiered major, flagship, core and minor.

• Amazon Web Services (AWS)majorTechnology or Integration · 1 November 2024Cloud infrastructure partner for PETRONAS Malay Basin project. Enables cloud-based processing of EarthNET AI workflows on seismic and well data.
• TotalEnergiesflagshipStrategic or Co-development Partner · 23 April 2024Multi-year partnership encompassing enterprise deployments of ESA's EarthNET technology and joint R&D on next-generation Relative Geological Time (RGT) technology. TotalEnergies incorporating ESA's AI solutions into their geoscience workflows.
• DUG TechnologymajorTechnology or Integration · 1 June 2023Partnership combining ESA's ML interpretation tools with DUG's seismic processing and imaging technology (Multi-parameter Full Waveform Inversion). Aims to reduce project timeframes by over 90% compared to traditional workflows.
• Horisont EnergicoreStrategic or Co-development Partner · 25 August 2022Strategic collaboration to characterise and de-risk carbon storage sites using EarthNET technology. Project in Norwegian Barents Sea produced 3D volumes of elastic and reservoir properties for CCS site evaluation.
• Centre for Sustainable Subsurface Resources (CSSR)minorStrategic or Co-development Partner · 1 February 2022ESA providing software and technical expertise to CSSR, which received 80m NOK government funding to address zero-emissions petroleum operations on Norwegian Continental Shelf.
• Rock Imaging Special Interest Group (RISIG)minorGTM or Marketing Partner · 1 January 2022ESA as first Core Sponsor for RISIG's efforts to promote rock imaging techniques in oil & gas, mining, CCUS and geoscience. Includes year-long recognition and event sponsorship (iRIS Summit).
• Rockwash GeodatacoreStrategic or Co-development Partner · 8 November 2021Strategic collaboration to drive high-value realisation from dormant digital assets. Rockwash provides digitised cuttings photographs and geological expertise; ESA provides ML workflows and EarthNET platform. Combined expertise used in RWI project interpreting 700,000+ cuttings samples.
• TGScoreStrategic or Co-development Partner · 15 June 2021Collaboration to expand seismic and well data offerings. EarthNET installed in TGS cloud environment to create high-value derivative products (porosity, lithology, water saturation, fault interpretations) from TGS Utsira OBN survey (1,500 sq km).
• PETRONAS (MPM)coreStrategic or Co-development PartnerPartnership with Amazon Web Services to enhance exploration opportunities in Malaysia's Malay Basin using EarthNET AI/ML technologies. Over 2,000 wells ingested with quality control and missing log predictions. Seismic property prediction and automated interpretation for approximately 40,000 sq km of TGS Multi-Client seismic data.
• Norwegian Petroleum Directorate (NPD)coreStrategic or Co-development PartnerProject partner in cross-border ML project to predict overlooked hydrocarbons in 5,000+ wells on Northern North Sea basin scale. First cross-border ML project awarded by NPD.
• Net Zero Technology Centre (NZTC)coreStrategic or Co-development PartnerProject partner (formerly OGTC) in UK for cross-border ML project. UK counterpart to NPD for Northern North Sea basin-scale hydrocarbon prediction project.

Scale indicators7 records

Recent moves7 records

Expansion highlights7 records

Direct peers

• DUG Technology: DUG Technology provides cloud-based seismic processing and imaging software with Multi-parameter Full Waveform Inversion. ESA has an active partnership with DUG combining ML interpretation with seismic processing, making them the closest direct technical peer in the AI-for-geoscience category.
• TGS: TGS is a multi-client geoscience data library operator and active ESA partner. While primarily a data provider, TGS increasingly develops AI-driven derivative products that overlap with ESA's multi-client offerings in the North Sea and beyond.

Broad incumbents

• CGG: CGG is a global geoscience company offering seismic acquisition, processing, and reservoir characterisation software (HampsonRussell, Jason, GeoSoftware). It is the largest pure-play geoscience technology peer to ESA in oil & gas exploration.
• SLB (Schlumberger): SLB's DELFI cognitive E&P environment is the dominant enterprise platform for digital subsurface workflows. Competes with EarthNET via bundled AI capabilities (DrillPlan, Intersect, Techlog) and access to proprietary DELFI Data Ecosystem.
• Halliburton: Halliburton's DecisionSpace and iCruise power integrated subsurface workflows for major E&P operators. Its Landmark suite competes directly with ESA's multi-disciplinary interpretation capabilities, with broader enterprise bundling and global services reach.
• Baker Hughes: Baker Hughes' JewelEarth subsurface software platform targets AI-enabled reservoir characterisation and well planning. As an oilfield services major, it competes on scale, integration with drilling/completion services, and enterprise data ecosystems.
• Emerson E&P Software (formerly Paradigm): Emerson's Paradigm-based E&P software suite (now part of AspenTech) provides seismic interpretation, reservoir modelling, and well planning tools. Targets the same E&P customer base as ESA with broader portfolio and global services.

Emerging players

• Ikon Science: Ikon Science provides RokDoc and Ji-Fi AI-driven rock physics and seismic inversion tools. Comparable as a niche AI-for-geoscience specialist focused on quantitative interpretation and rock property prediction, similar to ESA's AI Seismic properties.
• Bluware: Bluware offers cloud-native seismic data management and AI-ready data conditioning via the OSDU platform. Competes with EarthNET Data Lake as an enabling layer for AI workflows, with strong major-OilCo relationships.
• Geoteric: Geoteric specialises in AI-driven seismic interpretation and fault detection using cognitive interpretation techniques. Closest direct competitor to ESA's AI Seismic Interpretation module, particularly for AI Faults functionality.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/earth_analytics
• LinkedInlinkedin.com/company/earth-science-analytics

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds2 records

Investors4 records

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 Earth Science Analytics