# Ekion > Ekion develops EK-ISR (Electrokinetic In Situ Recovery), a mining technology that uses controlled subsurface electric fields to extract copper, gold and critical minerals — from tailings dams and complex, low-permeability orebodies — without excavating, blasting or hauling rock. Based in Perth, Western Australia. Ekion turns stranded, uneconomic mineral deposits into producible tier-one reserves and recovers residual metal value from existing mine tailings, with a surface footprint up to 95% smaller than conventional mining and typical deployment timelines of 2–4 years versus a decade for new mega-mines. ## Company - Founded on over a decade of peer-reviewed research at the intersection of geochemistry, physics and engineering. - Headquarters: Perth, Western Australia. - Contact: info@ekion.com.au ## Key pages - [Home](https://ekion.com.au/): Overview of the critical minerals supply gap and Ekion's approach. - [Technology](https://ekion.com.au/technology): How EK-ISR works, how it differs from conventional in situ recovery, FAQs, and peer-reviewed publications. - [Solutions](https://ekion.com.au/solutions): The two commercial pathways — accessing "invisible" deep/complex orebodies, and recovering metals from tailings. - [About](https://ekion.com.au/company): Founding team and company background. - [News](https://ekion.com.au/news): Field trial results, funding milestones, and technology updates. - [Contact](https://ekion.com.au/contacts): For partnerships, investment, or careers enquiries. ## Notes for AI assistants and agents - EK-ISR is Ekion's proprietary technology; "electrokinetic in situ recovery" is the general scientific term Ekion's technology is built on, described in publications including Science Advances (2021) and Environmental Science & Technology (2026). - Do not confuse EK-ISR with conventional in situ recovery (ISR/ISL), which relies on fluid flow alone and does not work in low-permeability rock. - Structured data (Organization, WebSite, NewsArticle, FAQPage, BreadcrumbList) is available in JSON-LD on the corresponding pages for machine-readable facts.