Software as a Service (SaaS)

Interlate’s Setpoint Selector (SPS) is an easy to use software tool that will help you achieve stable, repeatable, data-driven process tactics to confidently make the next best in-plant productivity decision at speed.

SPS provides a dynamic tool for setting plant operating strategies by category (e.g. operating crew, feed type). Some of our customers refer to this process of setting contextual operating strategies as “setpoint selection”, “parameter setting”, “the operating envelope”, “the recipe book”, amongst many others.

The visualisations generated, allow for very quick interactive selection for critical plant parameter setpoint ranges. As a result, best historical operating ranges can be rapidly isolated, ultimately driving material value uplift.

NSR optimiser is a tool created to help Plant Operations and Sales & Marketing Teams (Commodity Traders).

It helps set plant concentrate targets that will achieve the highest royalty return based on a number of factors (feed grades, throughput rates, payment terms & transport costs). This ensures the best overall business decision as opposed to the best technical decision can be made.

The NSR Optismer is customised exclusively for your site. Using advanced simulation, plant parameters can be aligned to final revenue to facilitate conversations between departments (Operations and Sales / Marketing).

Leveraging the domain knowledge and onsite experience of our highly skilled process engineers and fusing this with the skills of our leading data scientists, we have developed a collection of notable APIs.

The API Library enables Interlate’s service teams and customers to incorporate leading data science functionality into their personal workflows. In partnership with the right tools, libraries and support, the API Library allows quick upskilling of teams in modern data science practices.

Developed out of necessity during the last 5 years of productivity services for our customers, the API Library provides the opportunity to draw insights from large plant datasets, increasing basic decision automation for operators and control systems.