Our foundations

Ayni Gold & Minerales San Hilario

Ayni Gold: A blockchain bridge to real-world gold mining.

The story of Ayni is rooted in Minerales SH, a gold mining company founded in Peru with a long-standing operational presence. Ayni emerged from the evolution of gold mining practices, applying modern blockchain infrastructure to improve how mining operations are documented, verified, and presented.

Built on a solid technical foundation and supported by experienced industry and engineering teams, Ayni combines established mining expertise with modern data and transparency standards.

This approach enables clearer insight into real-world gold mining activities through a secure, blockchain-based infrastructure.

Minerales SH: Secure gold extraction in Peru

Minerales SH is a Peru-based gold operator advancing a formally registered 8 km² alluvial concession in Madre de Dios, an established gold-producing region. Mining rights are secured and operations are conducted under local and national authorizations, ensuring a reliable and compliant framework.

Technical baseline & Exploration

A 2025 scoping study established the technical baseline and identified a conceptual near-surface exploration target within the upper ~5 metres across the concession of up to ~10.7 tonnes of gold.

Evaluation of deeper horizons and clay-rich units is underway through staged drilling and QA/QC to inform future technical reporting.

Secure gold extraction

Minerales SH is a Peru-based gold operator advancing a formally registered 8 km² alluvial concession in Madre de Dios.

Exploration target

9+ tonnes

Estimated gold potential across the concession. Current studies reference a conceptual exploration target.

Effective extraction

300+ days

Effective extraction per year. Operations run 16 hours a day, 25 days a month.

Cost efficiency

$5.92 opex

Cost per cubic meter. Highlighting efficient cost management in the extraction process.

Transparency

100% verified

Partnerships with top auditing firms ensure transparency in mined volumes and financial data.