The First Geologic Intelligence Platform

Decoding the Structure
of Planet Earth.

We are building the world's first platform integrating Geoscience Foundation Models - Vision-Language Models (VLM) and Large Language Models (LLM). Our generative AI agents actively collaborate with geologists to learn 3D structures from data, dramatically reducing uncertainty in resource discovery.

Geologic Intelligence Engine

From vision to reality. We are deploying distinct foundation models that serve as the building blocks for the world's first global discovery platform.

GeoSim

Generative 3D models of realistic geology. We create high-fidelity subsurface simulations that respect geological constraints, filling the gaps between sparse data points with geologically plausible structures.

Drive smarter resource discovery without direct measurements.

GeoReasoning

Incorporating LLMs and geoscience text data. Our intelligent agents structure unstructured legacy reports, drill logs, and field notes, converting historical text into actionable spatial data.

Turn forgotten archives into discovery assets in days, not years.

GeoVision

Geologically driven 3D inversions and interpretations. We move beyond standard geophysical inversion by using AI to identify targets and interpret complex structural relationships directly from signal data.

Find deep deposits that standard geophysics misses.

GeoIntegration

The synthesis of Language and Vision. By combining the textual reasoning of LLMs with the visual acuity of computer vision, we build a platform that "sees" and "reads" geology simultaneously.

Compress the entire exploration workflow from years to months.

Driving Value

We are rapidly moving from vision to validation. Our technology compresses the exploration timeline, creating immediate value for partners.

Traditional Discovery

2-3 Years
Data Collection
Interpretation
Target Generation

Earth Dynamics Platform

6 Months
VLM Ingest
Similarity Map
Discovery
Accelerated by Generative AI

Latest Announcements

View Archive →
Dec 2025

NeurIPS 2025: Advancing AI Research

Dr. Moshe Eliasof presented two papers at NeurIPS 2025, fostering the exchange of research advances in AI and ML.

Jul 2025

Strategic MOU with Sunrise Energy Metals

Collaborating to support mineral exploration activities through the application of our Geological Intelligence platform.

Sep 2024

Seed Financing Closed

Earth Dynamics closes significant seed financing.

OUR PEOPLE

World-Class Leadership

A unique fusion of industry titans, veteran entrepreneurs, and scientific pioneers dedicated to decoding the earth.

Founders

Proven track record of building and scaling disruptive, technology-driven ventures in both AI and natural resources.

Robert Friedland

Robert Friedland

Robert is a legend in the resource world - a visionary who has discovered tier-one deposits and raised billions to bring them to production. For over 30 years, he has led from the front, embracing innovative technologies to transform how the world finds critical minerals.

Livia Mahler

Livia Mahler

Livia is a veteran venture capitalist and entrepreneur that has spent the past 20+ years launching and scaling tech startups and developing exploration technologies for the resource sector. She has served on boards of numerous public natural resources companies.

Eldad Haber

Eldad Haber, PhD

Eldad is a world-renowned scientist whose work sits at the intersection of geophysics, mathematics, and AI. He is known for breakthrough research and has a rare ability to turn complex science into solutions for real-world problems.

Technical Team

Top talent in AI, computational mathematics, deep learning, and geoscience R&D with advanced degrees; holding over 30 patents and more than 900 peer reviewed publications in Google Scholar.

Moshe Eliasof

Dr. Eliasof specializes in graph neural networks and inverse problems. His work is published in leading conferences, advancing deep learning algorithms.

Moshe Eliasof, PhD

AI Research Scientist
Michal Gazit

Dr. Gazit brings 20+ years of experience in computer vision and medical imaging. She leads deep learning innovations in segmentation and object detection.

Michal Holtzman Gazit, PhD

AI Research Scientist
Bas Peters

Dr. Peters develops computational methods for neural networks and geoscience applications, enabling mineral mapping and aquifer studies.

Bas Peters, PhD

AI Research Scientist
Javier Turek

Dr. Turek specializes in large language and visual-language models. With 10+ years at Intel and IBM, he holds over 40 patents in AI.

Javier Turek, PhD

AI Research Scientist
Thibaut Astic

Dr. Astic is a computational geoscientist specializing in machine learning and data simulation. He previously led geophysics programs at a mining company.

Thibaut Astic, PhD

Computational Geoscientist
Simon Ghyselincks

Mr. Ghyselincks focuses on inverse problems and synthetic data generation. He develops innovative methods for creating complex geological models.

Simon Ghyselincks

Computational Geoscientist
Eran Deutsch

Mr. Deutsch focuses on hardware and software foundations. He manages large-scale data collection and processing for the LLM team.

Eran Deutsch

Computer Engineer
Shruthi Chockkalingam

Ms. Chockkalingam has vast knowledge in LLMs. She researches applications of machine learning and natural language processing.

Shruthi Chockkalingam

Data Scientist
Boaz Elazar

Dr. Elazar is an experienced mathematician and data scientist. He transforms complex data into actionable insights for challenging public and private sector projects.

Boaz Elazar, PhD

Data Scientist
Ophir Greif

Mr. Greif is a data scientist specializing in machine learning and cloud computing. He works on large-scale data processing and AI-driven modeling.

Ophir Greif

Software Architect

Scientific Advisory Board

World-class advisors joining our mission.

Dr. Lior Horesh

Dr. Lior Horesh

Dr. Horesh is a Principal Research Scientist and Senior Manager of the Mathematics and Theoretical Computer Science department at IBM Research, overseeing 30 PhD researchers advancing mathematics and theoretical computer science to address key AI challenges.

Dr. David Keyes

Dr. David Keyes

Dr. Keyes is a Professor of Applied Mathematics and Computational Science and Director of the Extreme Computing Research Center at King Abdullah University of Science & Technology (KAUST), where he also holds affiliate roles in Computer Science and Mechanical Engineering. Formerly the Fu Foundation Chair Professor at Columbia University, he is a faculty affiliate of several U.S. Department of Energy laboratories.

NEWSROOM

News Archive

Browse our past announcements, press releases, and research updates.

Dec 2025

NeurIPS 2025: Advancing AI Research

Our team member, Dr. Moshe Eliasof, presented two papers at the NeurIPS 2025 Conference. This conference fosters the exchange of research advances in Artificial Intelligence and Machine Learning.

Jul 2025

Strategic MOU with Sunrise Energy Metals Ltd

Earth Dynamics AI signs a Memorandum of Understanding with Sunrise Energy Metals Ltd to establish a strategic framework for collaboration. We will support mineral exploration activities through the application of our Geological Intelligence platform.

Jul 2025

ICML 2025 Presentations

Our team member, Dr. Moshe Eliasof, presented two papers at the International Conference on Machine Learning (ICML), a premier event for professionals dedicated to the advancement of machine learning.

Apr 2025

Welcome Scientific Advisory Board

Earth Dynamics welcomes a distinguished Scientific Advisory Board that brings extensive research and industry expertise on tools improving scalability, and interpretability of AI as well as large scale computing.

Dr. Lior Horesh

Principal Research Scientist, IBM Research

LinkedIn Profile

Dr. David Keyes

Professor, KAUST

LinkedIn Profile
Sep 2024

Seed Financing Closed

Earth Dynamics closes significant seed financing.

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Headquarters

Vancouver, BC
Canada