Mission

To empower the mining and raw materials industry with cutting-edge AI technology.

Competitive Analysis

Our AI-driven approach offers superior speed, accuracy, and scalability over traditional approaches.

Our Clients

Mining companies, Steel manufacturers, Raw material traders and others.

INNOVATIVE COMPANY

Jatee Technology Development (Beijing) Co. Ltd.

Jatee Tech is a technological company focusing on mining and trading raw materials using its proprietary AI model. Our AI specializes in mapping geographical areas, recognizing rock/raw material, and providing comprehensive geological services. This technology analyzes, identifies, and categorizes rock samples for mineral content composition and potential value, thereby enhancing mining operations and raw material trading efficiency.

Services

What We Offer

We Offer a Wide Range of Mining and Raw Material Trading Services.

Consulting Services

Expert analysis, risk management, and recommendations for mining exploration, operation optimization, and raw material procurement.

AI Services

Analyzing rock/raw material samples, mapping services for mining sites, generating building plans, and identifying raw materials.

Custom AI Solutions

We offer tailored AI models developed for specific client needs and requirements, integrating with existing operational technologies.

5 +

Years of Experience

100 +

Projects Completed

45 +

Our Partners

35 +

Professional Team

Our blog

Latest Blog & Articles

Find our latest news and sharings

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Frequently Asked Questions

Our AI algorithms analyze market trends, historical data, and current events to provide accurate predictions and insights. This allows for better-informed trading decisions, maximizing profitability and minimizing risks.

Yes, our AI solutions are designed to integrate seamlessly with most existing mining equipment and software systems. This ensures a smooth transition and enhances the overall efficiency of your operations.

Absolutely. Our AI models optimize mining operations to minimize waste and energy consumption. By accurately predicting mineral locations and quality, we reduce unnecessary excavation, leading to a smaller environmental footprint.