Isatis.neo - What's New?

Isatis.neo 2025.2

Isatis.neo 2025.2 brings together usability, performance, and precision. Whether you’re scaling up results, analyzing correlations, or refining simulations, every enhancement is designed to help you work faster, visualize better, and model smarter.

Flexible upscaling for reliable results

The new Upscaling task gives you full control over transferring variables from one grid to another, whether for estimation results or simulation outputs. Choose the method that fits your workflow — Moving, Fine-to-coarse, or Categorical — and produce comprehensive statistics, threshold-based results, and uncertainty measures. You can:

  • Compute weighted or density-based statistics,
  • Handle undefined values seamlessly,
  • Output detailed charts and/or store results as new variables.

Explore data instantly

Explore variable relationships instantly with the brand-new Cross plot feature — no need to open the EDA module! Generate scatter plots directly from the ribbon or by right-clicking two variables in your data tree. Enjoy the same powerful visualization options you know from EDA (swap axes, log scales, color coding, trend lines, and more), but with no sample size limits. When working with large datasets, the tool automatically switches to image mode for optimal performance.

Smarter modeling & evaluation

Model and assess with greater precision.

  • The Grade Tonnage Curves and Tables tool has been refined for a clearer, more industry-aligned experience:
    • Adjustable table text size for improved readability.
    • Default units updated from kilograms (kg) to megatonnes (Mt) — in line with mining standards.
    • A new Against main dataset mode allows more precise analyses by linking Metal values directly to your main dataset and handling undefined values automatically.

Enhanced visualization and interaction

Explore your data in 3D like never before! The Picking Table, now integrated into the 3D Viewer, lets you instantly inspect your selections across multiple data tables. It displays the color variable by default, and you can easily add multiple variables for a deeper view of your data. Combine this with the new Rectangular selection tool to pick multiple samples in a single drag.