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Bomvu Engineering

Salt Lake City, United States (US) · Materials , Minerals and Mining

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Nobody at Bomvu Engineering gave us this. We built it in 2026 from public sources — a company register, the company’s own website, and public business directories — because we are building a directory of companies that can be checked. We hold the name, address, website, sector and one contact address, and nothing else.

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Bomvu Engineering is a Materials , Minerals and Mining company based in Salt Lake City, United States (US), founded in 2020, with 2-10 employees. Bomvu Engineering's profile is verified on Enterprise League.

Overview

Bomvu Engineering is a leading data analytics firm specializing in drilling data optimization for the mining industry, based in Salt Lake City, Utah. We empower mining companies to unlock critical insights from their MWD data through a combination of subject matter expertise and machine learning. Our solutions facilitate smarter drilling, performance optimization, rock mass characterization, and ultimately, reduced operational costs.

By standardizing and analyzing drilling data, we transform raw information into actionable intelligence, enabling data-driven decisions and improved outcomes. We partner with exploration teams, drilling contractors, and mining companies of all sizes to deliver tailored solutions and drive significant value.
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Contact Details

info@bomvuengineering.com

Salt Lake City, United States (US)

Founded

2020

Company Type

Private Limited Company

Employees

2-10

Categories

Mining and Minerals Engineering
Mining Equipment Manufacturers
Mineral Resources Management

Awards

• 2026 OpenSee all

Services

Default Product Image
Rock Property Calculation
Mineral Resources Management

Bomvu Engineering utilizes industry-standard and proprietary machine learning models to calculate rock properties from MWD data. This service provides accurate and reliable assessments of rock mass characteristics, enabling informed decision-making throughout the drilling process. Our calculations are based on extensive data sets from diverse rock types, ensuring robust and dependable results.

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