Aisimpro
Aisimpro provides predictive decision-making solutions for the mining industry, combining physical modeling with machine learning in a hybrid AI approach. Its Advanced Model Predictive Control and AI-powered soft sensors enable operators to shift from reactive to proactive strategies, optimizing production and reducing energy consumption. The platform also offers a pre-trained application for gold plant design and optimization.
- Artificial Intelligence
- Industrial Automation
- Manufacturing / Industry 4.0
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Reactive strategies driven by inadequate forecasting lead to production losses, lower product quality, and higher energy use in mining operations. Operators lack the predictive insights needed to optimize processes proactively, resulting in suboptimal outcomes and increased operational costs.
Solution
Aisimpro delivers predictive decision-making solutions for the mining industry by merging domain expertise with a hybrid AI approach that combines physical modeling and machine learning. Its Advanced Model Predictive Control (MPC) and AI-powered soft sensors generate highly accurate forecasts, enabling operators to shift from reactive to proactive strategies. The platform optimizes production processes, improves product quality, and reduces energy consumption through realistic predictions. Aisimpro also offers a readymade, pre-trained application for gold plant design and optimization, maximizing efficiency through realistic simulation. The company follows a step-by-step implementation approach that includes understanding challenges, defining solutions, piloting, and supporting long-term sustainability.
Target Audience
Primary customers are mining companies and plant operators seeking to improve production efficiency, product quality, and energy management through predictive decision-making technologies.
Features
- Hybrid AI approach combining physical modeling with machine learning for enhanced prediction accuracy
- Advanced Model Predictive Control (MPC) that optimizes production processes with realistic forecasts
- AI-powered soft sensors providing accurate process monitoring and predictive insights
- Pre-trained application for gold plant design and optimization with realistic simulation capabilities
- Phased implementation methodology covering strategy, data collection, solution development, validation, pilot-scale demonstration, and long-term support