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Mariana Minerals Tech Stack

Software-first minerals company supplying critical materials for energy, AI, and defense

Metal Ore Mining San Francisco, CA 51–200 employees Privately Held

Mariana Minerals operates a vertically integrated minerals business built on software infrastructure rather than traditional extraction playbooks. The tech stack reveals a hybrid engineering organization: CAD/design tools (Autodesk, Civil 3D, Revit, Navisworks) dominate for greenfield construction and plant design, while Python, PyTorch, TensorFlow, and emerging LLM integration signal AI-driven optimization of chemical processes and supply-chain visibility. The hiring surge (74 roles in 30 days, heavily skewed toward senior engineers and interns) paired with documented pain around data integration and scaling pilot plants to commercial production suggests they're building operating-system-level software to automate mineral processing, not just buying off-the-shelf mining tools.

Tech Stack 34 technologies

Core StackPython MATLAB Ashby AutoCAD Revit React JavaScript TypeScript PyTorch TensorFlow Greenhouse Lever ETAP lidar ASPEN Plus HYSYS CMMS Autodesk Civil 3D Navisworks Bluebeam Replit VBA ICP-OES ICP-MS CADWORX AutoCAD Electrical AutoCAD Plant 3D PowerShell AutoLISP+4 more

What Mariana Minerals Is Building

Challenges

  • Downtime
  • Data integration challenges
  • Critical mineral infrastructure build-out
  • Scaling pilot plant to commercial production
  • Reducing operating expenses
  • Improving metallurgical performance
  • Managing slope stability risks
  • Hard-to-fill technical roles
  • Competitive talent markets
  • Hiring bottlenecks

Active Projects

  • First-of-its-kind chemical refining processes
  • Automated plant optimization
  • Software for capital project execution
  • Geotechnical instrumentation monitoring program implementation
  • Greenfield copper one construction
  • Critical minerals supply chain
  • Llm integration for unstructured data
  • Operating system for mineral processing facilities
  • Data integration with autodesk
  • Enhancing interview frameworks

Hiring Activity

Accelerating75 roles · 75 in 30d

Department

Engineering
48
Ops
11
HR
6
Construction
2
Legal
2
Operations
2
Manufacturing
1
Product
1

Seniority

Senior
25
Mid
19
Intern
14
Junior
5
Lead
5
Manager
3
Staff
3
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About Mariana Minerals

Mariana Minerals is a privately held minerals company based in San Francisco that combines traditional extraction and refining with software-first operations. They focus on sourcing minerals critical to modern energy, AI, and defense sectors. The business is vertically integrated—from greenfield mining operations (evidenced by geotechnical instrumentation and slope-stability project work) through chemical refining and plant optimization. Active projects span automation of mineral processing facilities, capital project execution software, and LLM-powered data integration, indicating they are building internal software capabilities alongside physical assets. Current scale is 51–200 employees across engineering, operations, HR, construction, legal, and manufacturing.

HeadquartersSan Francisco, CA
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What is Mariana Minerals building?

Mariana Minerals is developing first-of-its-kind chemical refining processes, automated plant optimization software, and an operating system for mineral processing facilities. Active projects also include greenfield copper-ore construction, geotechnical monitoring, and LLM integration for supply-chain data.

What tech stack does Mariana Minerals use?

Mariana uses CAD and design tools (Autodesk, Civil 3D, Revit, Navisworks, Bluebeam), simulation software (ASPEN Plus, HYSYS, ETAP), Python, MATLAB, PyTorch, TensorFlow, React, and LLM frameworks. Manufacturing-side tooling includes ICP-OES and ICP-MS for analytical work.

How this profile is built

Mariana Minerals's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.