We just finished our first phase: POC prototype for AI mineral prospecting! The results we got from only a few layers of data was beyond our expectations and proved our thesis that we can reduce exploration costs and find so far interesting un detected areas for mineral exploration and critical minerals.
Our mission is to be the solution to finding critical minerals with help of ai technology. We are building an ai that will manage huge amount of data and with the help of machine learning do more affective and accurate assumptions of where to find minerals.
The AI will gather information from multiple sources and interpret different kinds of geological data and within milliseconds give suggestions on where to prospect.
The European Unions has announced new laws and acts to enable more efficient permits and licences to drill and start up new mines easier. The minerals specified below is part of the critical minerals act and will part of our focus to find faster.
Aluminium/bauxite, antimony, arsenic, barytes, beryllium, boron/borates, fluorspar, phosphate mineral, phosphorus, feldspar, gallium, germanium, graphite, hafnium, helium‚ rare earths: HREE and LREE, silicon, cobalt, Coke, copper*, lithium, magnesium, manganese, nickel* niobium, platinum group metals: PGM, scandium, strontium‚ tantalum, titanium, vanadium, bismuth and tungsten
We just finished developing the first prototype of the AI model which has given very promising results. In this first phase we limited it to only a few layers of data and finding copper, led, zink and nickel. The results model made conclusions in seconds where a geologist would need months to come up with the same results.
Industry trends – mineral finding in Sweden
Digitalization and Technology
The Swedish mining industry has been adopting digital technologies and automation to improve efficiency and safety in mining operations.
These technologies include advanced data analytics, remote monitoring, autonomous mining equipment, and more.
Critical Minerals
There is a global focus on securing supplies of critical minerals, which are essential for various high-tech applications. Sweden possesses some of these critical minerals, including rare earth elements and tungsten.
The Swedish government and industry have shown interest in developing domestic sources for critical minerals to reduce dependence on foreign imports.
Exploration and investment
Sweden remains an attractive destination for mineral exploration and investment due to its stable political environment, transparent regulations, and well-developed infrastructure.
Several international mining companies have been active in exploration and development projects across the country.
The company is building an AI model that, based on data, will be able to predict where to test drill for specific minerals.
Competitive Advantages
Searching for minerals using AI models offers several comparative benefits when compared to traditional exploration methods. Here are some of the advantages of using AI in mineral exploration:
We are currently putting all our focus to create clean and nicely formated data.
Our solution is taking in various types of data and formating it into a format that enables AI predictions.
The data will be packaged and available for purchase.
What we can do for you
Data formating
With our solution we harmonize large sets of data (including handwritten protocols) to be able to consume it easier and put in to our machine learning models.
Ai predictions & analysis
Our model is combining machine learning algoritms with large data sets together with geologist theory to make precise predictions of where to find mineral deposits.
Sales of formated Data sets
If you are in need of geolical data for your own solutions we offer sales of formated data-
Our CFO and contract manager have collectively worked in banking and finance industry for the past 30 years.
Our project manager has extensive experience in AI development and entrepreneurship.
Our geologist has broad experience and a vast network of contacts.
