Enabling low-carbon transition through subsurface insights for CO2, hydrogen and energy storage, our AI cloud-based geophysical modelling platform combines rock physics with wave-simulation and ease of access. ProblemGeophysicists in energy, Carbon Capture & Storage (CCS) and service sectors face growing pressure to evaluate subsurface models for critical decisions in low-carbon transitions. Existing geophysical software is built on assumptions that ignore key physical processes relevant to this transition and are limited to modelling using costly methods. These tools also depend on rigid licensing and local compute infrastructure, creating bottlenecks in scalability and performance. There is a clear need for modern, adaptable and scalable modelling tools fit for today’s geophysical challenge.Solution Our solution is a cloud-based geophysical modelling platform that unifies rock modelling and wave propagation in a single workflow. It supports scalable seismic simulations and allows for seamless integration with AI models. Accessed flexibly via APIs or through an intuitive web interface, users can access high-fidelity, on-demand modelling without the need for local hardware or complex installations. Usage-based pricing make advanced modelling accessible to organisations of any size—enabling faster, smarter decisions for dynamic subsurface scenarios like CO₂ or hydrogen storage.Market We target a £1B market in geophysical software for CCS and subsurface modelling, aiming to capture £10–30M ARR within 5–7 years serving innovation-driven subsurface operators and their in-house software developers.Contact Mantis Geophysics LinkedInMantis Geophysics website This article was published on 2025-09-17
