1
GeologicAI
Calgary, Alberta, Canada
GeologicAI redefines geological and mining decision-making with advanced core scanning technology and AI-powered analytical and modeling solutions.
- Revenue
- $73.6M
- Year founded
- 2013
- Team size
- 186
Top 6 Mining Software Companies With $10M–$100M Revenue (November 2026)
As of November 2026, Latka tracks 6 mining software companies with $10M–$100M in annual revenue. They have combined revenues of $163.5M and employ 667 people. They have raised $1.7M and serve 22 customers combined.
Every company below sells mining software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Mining Software Companies do
Mining software encompasses a range of digital solutions designed to improve the efficiency, safety, and productivity of mining operations. These solutions span various functions, including resource management, equipment monitoring, and compliance tracking. By integrating real-time data analysis, mining software enables companies to optimize their workflows, manage risks, and ensure regulatory compliance, all while reducing operational costs. The primary use cases of mining software include mine planning, operational management, and environmental monitoring. Features often include geological modeling, resource estimation, production tracking, and equipment management. Typical buyers of mining software include mining companies, operational managers, safety officers, and compliance personnel, all of whom rely on these tools to facilitate informed decision-making and improve overall operational effectiveness.
- Companies
- 6
- Revenue
- $163.5M
- Funding
- $1.7M
- Employees
- 667
Filters
Sorting: Highest -> Lowest
Top Mining Software Companies With $10M–$100M Revenue
Showing 6 of 6 companies ranked by annual revenue.
2
Dynamic
Ho Chi Minh City, Vietnam
Dynamic is a technology enterprise that develops research applications for various sectors including agriculture, mining, healthcare, and telecommunications.
- Revenue
- $25.3M
- Team size
- 8
3
INX K2fly
West Perth, Western Australia, Australia
INX Software is a leading provider of software designed to meet the risk, compliance, workforce management, training and reporting needs of high-risk, complex and remote businesses. K2fly supports resource and asset-intensive industries across five continents, addressing regulatory and compliance challenges in the areas of mineral resource governance, natural resource governance, and mine technical assurance. Together, we provide mission-critical solutions for some of the world’s biggest mining companies, as well as leading businesses in sectors such as energy, transport, utilities, engineering and manufacturing.
- Revenue
- $23M
- Team size
- 209
4
Rocscience
Toronto, Ontario, Canada
Rocscience is a world leader in developing 2D and 3D software for civil, mining, and geotechnical engineers.
- Revenue
- $17.1M
- Team size
- 109
5
Pronto AI
San Francisco, California, United States
While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world-leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto’s team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off-road applications. This focus and our decades of experience have put Pronto on a track to become the world’s first profitable AV technology company.
- Revenue
- $14.5M
- Team size
- 132
6
Strayos
Buffalo, New York, United States
Strayos makes visual AI software for mines, quarries, construction sites and drilling and blasting contractors. It turns drone imagery, LiDAR scans and measure-while-drilling data into 3D models of a site, then uses machine learning for surveying, geology mapping, drill and blast design, fragmentation analysis, haul road and highwall checks, stockpile measurement and mine-to-mill analytics. Ravi Sahu founded Strayos in St. Louis in 2016, and its first product version shipped in July 2017. After it won a $1 million investment as grand-prize winner of the 2019 43North competition, the company moved to Buffalo, New York, where Sahu remains CEO.
- Revenue
- $10M
- Customers
- 22
- Year founded
- 2016
- Funding
- $1.7M
- Team size
- 23
Frequently asked questions about Mining Software Companies With $10M–$100M Revenue
How many mining software companies with $10M–$100M in annual revenue are there?
Latka tracks 6 mining software companies with $10M–$100M in annual revenue. Together they generate $163.5M in annual revenue and employ 667 people.
Which mining software company with $10M–$100M in annual revenue is the largest?
GeologicAI is the largest, with $73.6M in annual revenue, founded in 2013.
How much revenue does a typical mining software company with $10M–$100M in annual revenue make?
The average mining software company in this list makes $27.3M a year, across 6 companies with reported revenue. They serve 22 customers combined.
Who are the leading Mining software vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are GeologicAI, Dynamic, INX K2fly, Rocscience and Pronto AI.
How much funding have mining software companies with $10M–$100M in annual revenue raised?
The 6 mining software companies with $10M–$100M in annual revenue tracked here have raised $1.7M in disclosed funding between them.
Related Vertical Industry Software categories
Inclusion Criteria
- Software must facilitate mine planning and resource management - Must provide real-time monitoring of equipment and environmental conditions - Capable of tracking compliance with regulatory and safety standards - Should include features for production tracking and efficiency optimization - Not just a reporting tool; must offer actionable insights based on data analysis