Precision engineering for the computational age.
Artemis Dev is a product-focused team dedicated to building high-fidelity geotechnical numerical analysis software. We believe that critical engineering decisions should be supported by robust, predictive, and transparent simulation tools.
Our Mission
Our mission is to bridge the gap between advanced geomechanics research and practical engineering application, providing tools that ensure every analysis is auditable, reproducible, and technically defensible.
We prioritize stable numerical assumptions, robust convergence, and outputs that directly address complex engineering questions.
High-performance solve loops and performance engineering are core to our development, enabling rapid iteration on large models.
Simulation is nuanced. We build for the realities of geomechanics—from staged construction to multiphysics coupling and nonlinear material behavior.
Meet the team
We're a team of geotechnical engineers and software experts who understand both the technical challenges and the practical realities of geotechnical engineering work.
Ella Kashi is an engineering and innovation leader with deep experience across mining, energy, and industrial technology. Her background combines technical depth with strategic leadership in optimisation, sustainability, and digital transformation, with a consistent focus on commercially grounded innovation. She is particularly strong at aligning operational performance, technology adoption, and long-term environmental responsibility in capital-intensive industries.
Majid Nazem is a geotechnical scientist and computational mechanics specialist focused on solving complex ground-engineering problems through advanced numerical modelling. His work spans soil mechanics, large-deformation analysis, multiphase systems, and offshore applications, with a strong track record of translating deep technical research into practical engineering methods. He brings rare depth in physics-based modelling and a clear orientation toward infrastructure, energy, and real-world deployment.
Javad Ghorbani is an applied scientist and computational engineer with a strong foundation in numerical methods, computational mechanics, multiphysics simulation, and AI. His work focuses on building rigorous, explainable engineering systems that combine physics-based modelling, scientific computing, and machine learning to solve complex real-world problems. He brings a rare combination of deep technical research, simulation expertise, and product-oriented execution across advanced engineering and intelligent software.