SimonAI
Always-on AI Metallurgist
SimonAI is a breakthrough in real time analytics for mineral processing. It's an intelligent setpoint advisor that uses the power of AI to support metallurgists.
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SimonAI provides actionable insights that enable end-to-end optimization across grinding/crushing, flotation & leaching processes.
This AI metallurgist analyzes your data around the clock and helps you get the most from your plant by identifying opportunities & recommending actions for improved recovery and throughput.
- SimonAI goes beyond other AI tools by using machine learning technology to recommend optimal setpoints.
- This intuitive platform makes operators’ lives easier with clear workflows, recommendations, and tracking for improved efficiency.
- SimonAI can pair with GlyCat, our patented glycine leaching technology which helps improve recovery, ESG, and site safety.
Features
- Data-driven recommendations: An always-on AI metallurgist spots opportunities and recommends actions to improve performance.
- Aggregated activity log: A repository of changes made, along with comments, acts as an educational tool to improve performance.
- Adherence analysis: Track recommendations and implementation in an aggregated view to see how the tool is utilized in the plant.
- Impact tracking: Track SimonAI's continuous value in recovery & throughput: actual (current value), optimized (improvement available), and baseline (historical).
What It Does
- Provides actionable recommendations
- Learns from historical plant data to make proactive suggestions
- Provides a single source of truth for production changes and increases production visibility
- Tracks performance of both plant personnel and plant performance
- Reduces the number of people involved in production adjustments, and empowers the operations team
- Helps create site standards for production adjustments
- Surfaces issues at the plant by leveraging the activity log and adherence data
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How It Works
- SimonAI combines advanced analytics models to recommend optimal setpoints, track which recommendations have been implemented, and visualize the impact of those changes via a standardized user interface that’s embedded into your existing operational workflows.
- The plant data goes through advanced cleaning & anomaly detection Our analytical models generate optimization recommendations
- The production team reviews the recommendations The operations teams executes the selected changes
- The Draslovka data science team reviews the performance
- System users review reports to view the impact of the changes over time
Excited to hear more about our analyzers? Contact us!
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