Categorization of ferromolybdenum products

What we are looking for?

One of the products marketed by Molymet is ferromolybdenum. This product is sold as chunks derived from melted and fractured ferromolybdenum, ranging from 10 to 30 mm in diameter.

During the decanting and subsequent breaking processes, slag and residual silicon often remain, reducing the final product’s quality. These impurities must also be manually removed, along with the selection of pieces that meet the required shape specifications.

The goal of this challenge is to find a technology capable of categorizing products that meet a specific shape (granulometry), and ideally, also identifying and automatically removing slag residues and high-silicon products.

How will we evaluate your solution?

The success of the proposed solution will be evaluated based on its ability to reliably identify and extract particles that do not meet the required specifications in terms of size and impurities. Additionally, the solution must operate without increasing noise levels

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We are expecting to find

Artificial vision and high-speed cameras for image capture, combined with artificial intelligence and machine learning algorithms for automatic categorization

Automatic selection or rejection systems for final separation

Industry

Metal processing

Revenue (2021)

USD 1.453.442.000

Markets

Presence on 5 continents, with industrial plants in America and Europe and commercial offices in America, Europe and Asia.

Employees

1.364

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Review the current opportunities in detail and evaluate whether your technology solves the challenge posed.

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Venture Client step by step

Applications

September 2 to October 17

Finalists selection

November 3 to December 5

Value Proposition Days

December 16 to 19

Proof of Concept Implementation

2026