Imagine trying to read a giant stone puzzle to find where gold is hidden, but it takes a human expert months to map it by hand. This technology uses a special scanner and AI to 'read' the rocks instantly. It turns raw sensor data into a digital map, doing in minutes what used to take weeks of manual work.
Manual drill core logging is subjective, slow, and resource-intensive, often taking weeks to a year. This delays financial projections and the start of mining operations.
An AI-driven drill core logging solution that uses non-destructive sensor data to automatically generate geological maps.
If you are a mineral exploration firm dealing with slow, subjective manual mapping of drill cores — this project developed an AI-driven logging solution that provides complete drill core logs 90% faster. This allows you to start operations 50% faster while increasing objectivity in sample analysis.
If you are a waste management company dealing with inefficient tailings processing — this project developed a non-destructive sensor and AI mapping tool that enables better waste utilization. It provides detailed knowledge of deposit composition to reduce environmental impact.
If you are a consultancy dealing with workforce shortages for dangerous remote site logging — this project developed an automated AI mapping system. It reduces the need for geologists to perform manual mapping, shifting their role to quality control only.
Based on available project data, specific pricing for the SensAI product is not disclosed.
Yes, the solution is designed for the mining industry to accelerate the start of operations by 50% and provide logs 90% faster across large-scale drill core datasets.
The system utilizes a patented advanced drill core scanner (SE1000537) with grants in Sweden, Finland, Canada, and Australia.
It integrates with the Minalyzer CS scanner and Minalogger web software, replacing manual mapping with AI-generated logs that require human oversight only for quality control.
The AI mapping functionality reduces the mapping time from weeks or years down to minutes.
The project is led by a single Swedish SME, Minalyze AB, which holds 100% of the industry ratio. This lean structure indicates a highly focused commercial drive, leveraging the company's own existing patents and product ecosystem rather than relying on academic research.
Contact Minalyze AB in Sweden
Contact us to explore licensing opportunities for AI-driven mineral logging.
