Andesite

ANDESITE es una empresa pionera en el desarrollo de software de modelamiento geoestadístico, que integra inteligencia artificial y técnicas avanzadas de modelamiento para aumentar la precisión hasta en un 12%. Esta mejora en la precisión se traduce en una mejora en la productividad, obteniendo en un impacto significativo en la industria minera, multiplicando hasta por 3 el flujo de caja y por 6 el Valor Actual Neto (VAN). Nacida como un spin-off del Advanced Laboratory for Geostatistical Supercomputing (ALGES), perteneciente al Advanced Mining Technology Center (AMTC) y al Departamento de Ingeniería de Minas de la Universidad de Chile, ANDESITE se dedica a transformar tecnologías desarrolladas en proyectos de I+D en soluciones de software de alta calidad para la minería. Nuestro compromiso es contribuir a una minería más productiva, segura y sustentable mediante el uso inteligente de datos y la aplicación de tecnología de vanguardia.

https://www.andesite.cl

2-10 employees

Growth Trajectory

ANDES plans to expand its market reach beyond mining by targeting other sectors like forestry and environmental studies, focusing on leveraging AI and advanced algorithms to enhance estimation accuracy. The company is also preparing to launch ANDES to the public, initially offering free trials to attract users and gather feedback for further product development and refinement.

Technical Challenges

Tech Stack

Team Size

Key Risks

Competition from established mining software providers with larger market share.

The complexity of mineral resource estimation requiring specialized knowledge, limiting the user base.

The need to continually update the software with the latest technologies and advances in the field to remain competitive.

Potential challenges in scaling the software infrastructure to handle increasing data volumes and user demands.

Dependence on research collaborations for innovation and development.

Opportunities

Expanding the software's applications to other resource sectors, such as forestry, aquaculture, and environmental studies.

Leveraging AI and machine learning to improve estimation accuracy and provide advanced analytics.

Developing specialized modules tailored to specific mining needs, such as vein modeling or geo metallurgical modeling.

Capitalizing on the increasing demand for sustainable and responsible mining practices by providing solutions that optimize resource utilization.

Forming strategic partnerships with mining companies and research institutions to expand market reach and development capabilities.

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