From automating due diligence and drill data analysis to training teams and building custom tools — I work with mining executives who want to move faster without adding headcount.
Custom tools built specifically for how your team works — not generic software adapted to fit.
The biggest reason AI investments fail is adoption. I close that gap with practical, hands-on training.
Identify where your team's time is going — then automate the manual, repetitive work that doesn't need a human.
Mining companies evaluating acquisition targets face an enormous data problem: hundreds of historical records across tenement filings, geological surveys, drill logs, and regulatory documents — often in multiple languages, spanning decades.
MineCompare AI gathered all publicly available data, connected to client data rooms, and let teams query entire project histories in plain language — with citations. One company went from a six-month diligence cycle to one week. Their board called it a competitive advantage.
Due diligence timeline for mining property acquisition.
Same team. Same process. AI-enabled.
I'm Mike Miranda — an entrepreneur who spent years building technology for the mining industry. I started with OpTonal, a VC-backed tool for sales teams, which led me to my first mining clients. That work became MineCompare AI, a platform that changed how mining companies approach property acquisition.
Today I work directly with mining companies as a consultant — building internal tools, automating manual workflows, and training teams to use AI effectively. I've seen what works and what doesn't. I don't sell software licenses. I solve specific problems for specific companies.
I'm based in the US and work with clients globally. Engagements are hands-on and outcomes-driven.
30 minutes. I'll ask about your operation, tell you what I'd look at, and you'll leave with a clear sense of whether there's something worth doing.
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