The startup develops geostatistical modeling software that integrates artificial intelligence to enhance accuracy in mineral resource estimation for mining companies. This technology improves operational efficiency and supports sustainable practices by optimizing resource allocation and reducing environmental impact.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Mineral resource estimation in mining often suffers from inaccuracies due to limitations in traditional geostatistical modeling techniques. These inaccuracies can lead to inefficient resource allocation, increased operational costs, and a greater environmental impact.
Solution
Andesite provides geostatistical modeling software that leverages artificial intelligence to improve the accuracy of mineral resource estimation. The software enables mining companies to perform multivariable analysis and visualize spatial patterns, leading to better-informed strategic decisions. By optimizing the processing of large data volumes, Andesite's technology enhances the speed and efficiency of resource modeling. The platform's customizable modules and user-friendly interface reduce training time and costs, while its advanced algorithms promote responsible resource extraction and sustainable mining practices.
Target Audience
The primary target audience includes mining companies, geologists, and mining engineers involved in mineral resource estimation and strategic decision-making.
Features
- AI-enhanced geostatistical modeling for improved accuracy in resource estimation
- Advanced algorithms for precise spatial pattern visualization
- Customizable modules tailored to specific user needs
- User-friendly interface with 3D visualization and statistical graphics
- Rapid processing of large data volumes for efficient analysis
- Support for geometallurgical modeling, including variables related to hardness, acid consumption, and processing
- Risk analysis and design of drilling campaigns