For gold mines looking to improve throughput, recovery and cost efficiency, Draslovka’s MetOptima is the answer.
Draslovka's MetOptima is an always-on AI metallurgist that helps plant operators achieve:
- Improved throughput
- Increased recovery
- Reduced operational costs
MetOptima leverages AI and machine learning
to determine your optimal setpoints across the entire circuit
from grinding to flotation & leaching - allowing you to optimize your plant every 4 hours.

Increases throughput by 3-5%
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Improves recovery
by 1-3%

Reduces
costs

Better tracking & efficiency

Easily deployed:
MetOptima integrates into existing core control systems (e.g. PLC/DCS, SCADA and APCs), sensors and data sources, with a minimal system footprint.

Intuitive interface:
The web interface was built with operators and metallurgists in mind.

Secure & protected:
Highly available and secure cloud-based infrastructure. Security features include role-based access, separation of environments, cloud infrastructure security, encrypted data in transit (HTTPS/SSL), and more.

Aggregated activity log:
A repository of which changes were made along with the respective rationale acts as an educational tool to help operator performance.
MetOptima is a cloud-based system that provides AI-based
recommendations to metallurgists and operators. It provides a holistic,
system-level optimization, sitting above traditional controls and enablers.

recommendations to metallurgists and operators. It provides a holistic,
system-level optimization, sitting above traditional controls and enablers." data-aos="zoom-in" data-aos-duration="600" data-aos-delay="150">
It leverages aggregated plant and sensor data through the client adapter and applies our suite of advanced analytical and predictive models to the data to generate recommendations every 4 hours, which the shift operator either accepts or rejects via a user-friendly web app.
Our engineering support team continuously monitors platform uptime, adoption metrics, data quality and assists with incident resolution.