Company Intelligence

Mineflow

Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies. Geologists need to know precisely where their deposits are…

In this profile

Quick Facts

  • Founded 2024
  • Headquarters San Francisco, United States
  • Country United States
  • Industry AI in Manufacturing
  • Company Type Early
  • Status Active
  • Website Official site
  • Last Reviewed Aug 2026

Executive Summary

Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies.

Geologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors.

Ryan received a BS in Artificial Intelligence from Carnegie Mellon's School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR.

Why It Matters

Mineflow predicts the shape and location of mineral deposits

Recent Developments

  1. 2024 Company founded

    Mineflow was founded in 2024 per the company profile source on file.

    Source

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Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies.

Geologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors.

Ryan received a BS in Artificial Intelligence from Carnegie Mellon’s School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR.

Company information is based on publicly available sources and is reviewed periodically. If you represent this company and would like to request a correction, contact Brel.

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