AiMinr provides an autonomous AI operating system designed for mining capital projects, automating technical studies and speeding up mine planning processes. Its agentic AI continuously evaluates project parameters to optimize net present value (NPV), reducing manual effort and decision latency. By integrating data from geology, engineering, and finance, the platform delivers end‑to‑end insights that help mining companies improve project economics and operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Mining capital projects require extensive technical studies and detailed mine planning, which are time‑consuming and prone to human error, leading to delayed project start‑ups and sub‑optimal financial performance.
Solution
AiMinr offers an autonomous AI operating system that automates the core technical studies and accelerates mine‑planning workflows for capital projects. The platform ingests existing mining data, runs agentic AI models to evaluate multiple design scenarios, and continuously optimizes net present value (NPV) throughout the project lifecycle. By delivering actionable insights without manual intervention, AiMinr shortens project timelines and helps mining companies achieve higher financial returns. The system integrates directly with a mine’s data environment, providing a unified, AI‑driven decision layer that supports engineers, planners, and finance teams.
Target Audience
Primary customers are mining companies and project developers that manage large‑scale capital projects, including feasibility engineers, mine planners, and financial analysts.
Features
- Automated generation of technical study reports (e.g., geotechnical, metallurgical, and economic analyses) using AI models
- Agentic AI engine that iteratively explores and optimizes mine‑design alternatives to maximize NPV
- Seamless integration with existing mining data sources and software tools for real‑time data ingestion
- End‑to‑end workflow orchestration that reduces manual effort across feasibility, design, and scheduling phases
- Continuous performance monitoring and scenario updating as new data become available