# Mining Technology

> Mining technology modernizes extraction with AI exploration, sensor-based sorting, and autonomous equipment, sharpened by demand for battery metals. It recruits geoscientists and machine-vision researchers and partners with university geology and mineral-processing departments.

*Source: [https://selltoscientists.com/industries/mining-technology/](https://selltoscientists.com/industries/mining-technology/)*

**Market size:** $200B
**Target researcher profile:** Geoscientists and engineers in mineral processing, geophysics, machine vision, and exploration data science

## Use cases

- Sensor-based ore-sorting R&D hiring
- AI-driven mineral-exploration partnerships
- University geoscience collaborations
- Autonomous mining-equipment development
- Critical-minerals discovery talent pipeline

## Representative companies

- Caterpillar
- Komatsu
- KoBold Metals
- MineSense
- Plotlogic
- Earth AI
- Hummingbird Technologies
- Sandvik
- Tomra
- Durin

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## Beton network

This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources:

- [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals
- [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties
- [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries
- [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector))
- [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns
- [Beton app](https://inspector.getbeton.ai) — the hosted product