What's included​

Parallel coordinates​

• Open Parallel coordinates from an experiment's Visualization page
• Each completed trial is drawn as one line, running across every parameter on the left and the selected targets on the right
• Every axis has its own scale, so parameters and targets with different units can be compared side by side
• Categorical parameters show one tick per category
• Hover a line to see that trial's values on every axis

Reorder axes​

• Drag an axis title left or right to move that axis
• Place related parameters next to each other, or move a parameter next to a target to see how they relate

Color by target​

• Lines are colored by the last selected target, so you can follow where trials end up
• Drag any target from the sidebar onto Color to color by it instead
• A target dropped onto Color is added to the chart if it is not already selected
• Use the color scale slider to show only trials within a range of target values
• Clear Color to show every line in a single color

Overlapping trials​

• Trials that share the same value on an axis are spread slightly apart, so each one stays visible
• Trials with unique values stay exactly on their tick

Notes​

• Only completed trials with a value on every axis are shown
• Axis order and color choice reset when you leave the Parallel coordinates tab

What's included​

Linear replaces Sum​

• The Sum constraint for discrete numerical parameters is now called Linear
• Give each parameter a coefficient, for example 2 × x0 + x1 <= 100
• Coefficients start at 1, which gives a plain sum
• Use a negative coefficient to compare two parameters

Preview of your rule​

• A preview below the form shows the rule as you fill it in, for example 2 · x0 + x1 <= 100

Example: keep x1 at or below x0​

To make sure x1 ≤ x0, write it as x0 − x1 ≥ 0 and add a Linear constraint:

• Coefficients: x0 = 1, x1 = −1
• Operator: >=
• Right-Hand Side: 0

Other improvements​

• Negative numbers and decimals can be typed directly in Linear and Product constraints
• Removing a parameter from the Selected list now also removes its coefficient or condition

Notes​

• Your existing Sum constraints are now Linear constraints with every coefficient set to 1, so they work exactly as before
• Tolerance only applies to the = and != operators

What's included​

A clearer optimization sequence​

• Completed target results are numbered in completion order, without gaps from trials that did not produce a measurement
• The original trial number and completion time remain available in the point details
• Predictions for Pending and Accepted trials appear after the completed observations
• A dashed divider separates measured results from predictions across selected targets

Notes​

• The observation number can differ from the original trial number when trials finish out of order or do not produce a target result
• Predictions remain model estimates and include error bars showing one posterior standard deviation above and below the mean

What's included​

Parameter importance​

• Open Parameter importance from an experiment's Visualization page
• Select a target to inspect how its parameters contribute to the surrogate model output
• Compare parameters using their mean absolute SHAP values
• See the direction and distribution of each parameter's impact in the beeswarm plot
• Use the feature-value scale to focus on observations with low or high numeric parameter values

Notes​

• Parameter importance requires enough completed measurements to fit the surrogate model
• SHAP values describe model behavior and do not imply that a parameter causes a target outcome

What's included​

Predictions in trial cards​

• Pending and Accepted trial cards show each target's predicted mean and posterior standard deviation as mean ± std
• Predictions update as completed trial results are added to the experiment

Predictions in Convergence​

• Prediction points appear alongside completed measurements on the same target axis
• Error bars extend from mean − std to mean + std to show model uncertainty
• Hover over a prediction to inspect its value and error-bar bounds
• Use Error bar opacity (%) to adjust the visibility of the error bars, including hiding them at 0%

Notes​

• Predictions are model estimates and are not measured target results
• Error-bar bounds are not observed minimum and maximum values or a confidence interval

What's included​

Sync button on the trials page​

A new Sync button sits in the top-right toolbar of the experiment trials page, next to the Add and Upload controls.

• Click Sync to export all trials for the experiment to the linked Foundry dataset
• The button shows a loading spinner while the sync runs and toasts the number of rows synced on completion
• The button is disabled when there are no trials or no Foundry dataset is linked to the experiment

What gets synced​

• Only trials where all parameters are complete are included, regardless of state
• Each sync overwrites the previous snapshot

Notes​

• The Sync button requires a Foundry dataset to be linked to the experiment at creation time
• Each sync is a full snapshot — incremental/append writes are not currently supported

What's included​

Views menu​

Use the Views button in the study toolbar to save, apply, and manage your chart configurations.

Save chart configurations as views​

• Use Save as new view… to create a named view from your current chart configuration
• Saved views are stored per study and can be selected, applied, and deleted at any time
• Applying a view restores your axis selections, colour, symbol, and trellis encodings in Plot Builder, and your column and colour selections across all Correlation tabs

Build up a view across multiple charts​

• Each chart page (Plot Builder, Correlation Matrix, Correlation Ranked, Correlation Pair Plot) contributes its own configuration slot to a view
• Use Save to "[view name]" to add or update the current page's settings into the active view without overwriting the other slots
• Navigate between charts and keep saving to build up a view that spans multiple chart types

Share a view​

• When a view is active, the URL contains a ?view= parameter — copy and share it to let a colleague open the same configuration directly
• Views are study-scoped, so the recipient must have access to the study

Notes​

• Correlation tab settings (columns, colour) are saved independently per tab type, so Matrix, Ranked, and Pair Plot each have their own slot within a view
• Clearing a view (the × button next to the Views menu) returns each chart to its default state; it does not delete the saved view
• Views currently work for Plot Builder and Correlation only — support for PCA, Survival, and other chart types is coming soon
• This is an incremental update during beta

What's included​

• Ask data questions in natural language — "average overlay error by tool?", "how many wafers failed process control?", "distribution of risk score by lot" — and Assist queries your study dataset to answer
• Answers are computed from your actual data, returned as markdown tables, with a brief takeaway drawn from the results
• Date and duration math is supported — group by year, compare timestamps, measure elapsed time between events
• Platform and feature questions still work exactly as before — Assist picks the right mode for each question

Notes​

• Data answers come only from your dataset — Assist never invents, estimates, or extrapolates figures
• Data questions are available when Assist is opened from within a study
• Data queries run on the study's worker, so it must be provisioned and active; otherwise Assist still answers platform and feature questions but can't query the dataset
• AI responses may not always be accurate. If you receive an unexpected result, let us know with the thumbs up/down on the response, or share it via Support → Contact Support
• This is an incremental update during beta

What’s included​

Easier folder navigation​

• You can now drill into folders directly from search results instead of starting over in the main tree
• Search breadcrumbs stay clickable, so it’s easier to move back up when you’ve drilled in
• Search results only show folders you can actually use, so there’s less dead-end clicking

Folder creation in the right place​

• The picker follows the same folder structure used in Foundry: space -> project -> folders
• A space is like a shared drive, and its first-level listings are project resources
• Admins manage projects, so you can browse into them but cannot create new folders at the project level itself
• You can create folders once you’re inside the folders within a project, including after drilling in from search

Notes​

• Folder creation is only available once you’ve drilled into a valid folder location inside a project
• If a folder does not appear in search, you may not have permission to use it

What's included​

• Click Assist in the sidebar to open the panel from any page
• Ask a question and receive a focused, markdown-formatted answer grounded in Catalyst documentation
• Source excerpts are shown beneath each reply so you can verify or explore further
• Follow-up questions are supported — prior context is carried forward within the same conversation
• Use the + button to start a new conversation at any time

Notes​

• Answers are based solely on Catalyst documentation — the assistant will not speculate or invent features
• AI responses may not always be accurate. When in doubt, refer to the official documentation for authoritative guidance
• If you receive an unexpected or unhelpful response, please share it via Support → Contact Support
• Conversations are limited to 20 messages; start a new one for unrelated topics

What's included​

Create clusters from sigma bands​

• Open the cluster menu in PCA -> Cluster Analysis to create ready-made Inside nσ and Outside nσ clusters without drawing a brush
• Sigma-based clusters automatically assign matching points as soon as the PCA view finishes loading
• The matching sigma contour adopts the cluster color so you can see the selected boundary at a glance

Compare populated clusters only​

• Cluster comparison menus now show only clusters that currently contain points
• If a selected cluster becomes empty or is removed, the comparison updates to the next valid populated cluster automatically

Notes​

• Sigma-based clusters are stored with your other PCA cluster selections for that study
• Outside nσ options are available for every displayed sigma band, while Inside nσ options are available for the inner bands
• Empty clusters are excluded from comparison choices until they contain points

What's included​

Contact Support from anywhere​

• Open Support -> Contact Support from the app sidebar without leaving your current page
• Submit one of three request types: General Feedback, Bug Report, or Feature Request

Faster issue triage​

• Add a clear title and detailed description so the team can understand your request faster
• Your submission includes your current page, browser, and account details to reduce back-and-forth

Notes​

• The form requires both a title and description before you can submit
• Messages are limited to 1,500 characters
• For bug reports, include steps to reproduce and what you expected to happen

What's included​

Standardized "Exclude" action​

The action previously labeled Drop column in the Data Health table is now labeled Exclude, consistent with the terminology used in Column Settings. Excluded columns (visibility offs) are now hidden by default in the Data Health summary table. A Hide excluded (N) checkbox appears in the toolbar whenever there are excluded columns, allowing you to reveal them when needed.

Consistent filter in Column Settings​

The same Hide excluded (N) checkbox — showing the count of excluded columns — is now displayed in the Column Settings page, matching the behaviour in Data Health.

Notes​

• Excluded columns are hidden, not deleted — your underlying data remains unchanged
• The count in the checkbox reflects how many columns currently have visibility turned off
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

How it works​

• Click the AI Summary button in the Plot Builder toolbar
• A vision-enabled LLM reads the plot statistics and sees the chart, then returns bullet points covering distributions, group breakdowns, data quality issues, and visual patterns like clusters or outliers
• Hit copy to paste the summary into a report or analysis note

Notes​

• Works with scatter plots, box plots, and heatmaps
• The summary is factual only — the LLM does not assess or make recommendations
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

Column Management​

You can now manage columns from Edit → Columns.

• Exclude columns to remove them from all views in the study — including plots, statistics, and column groups
• Include columns again at any time to restore them across the study

Update Column​

• Rename columns to use more meaningful display names across your study
• Changes are applied consistently across all views

Notes​

• Excluded columns are hidden, not deleted — your underlying data remains unchanged
• Renaming affects display only and does not modify raw data
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

How it works​

• Select a numerical parameter from the parameter sidebar to color data points by that parameter's value
• A continuous color scale shows how parameter values relate to desirability scores across trials
• The best so far line tracks the highest desirability achieved up to each trial

• Select a categorical parameter to color data points by category
• A discrete color legend identifies each category value

Notes​

• The convergence chart is available under the Desirability tab in the Visualization section
• Chart interactions and layout may continue to evolve during the beta phase
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

How it works​

• Select multiple targets from the target sidebar
• The convergence plot automatically splits into a grid — one panel per target
• Each panel shares the same x-axis (iteration index) but has an independent y-axis scale

• Click a data point to highlight the corresponding trial across all panels

• Shift-drag to draw a brush selection across panels
• Points outside the selection are dimmed
• Up to 6 targets can be displayed at a time

Notes​

• Single target selection continues to show the standard convergence plot
• Trellis layout and interactions may continue to evolve during the beta phase
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

Drop Column​

Click the drop button on any row in the Data Health table to hide that column across all views in the study — plots, statistics, and column groups included.

Undo​

Changed your mind? Hit the undo button on the same row to bring the column back instantly.

Notes​

• Dropped columns are hidden, not deleted — your data stays intact
• If you notice any unexpected behavior, please share steps to reproduce

What's included​

How it works​

• Step through historical model evaluations using the new navigation controls
• The latest evaluation remains the default when no selection is made
• Quickly reapply filters across views for consistent analysis

Notes​

• If you notice any unexpected behavior, please share steps to reproduce

What's included​

How it works​

• Drag a categorical column onto the Trellis drop zone in the plot sidebar
• The plot splits into a grid of panels — one per category
• Works with scatter plots and box plots

• Use the trellis legend to choose which categories to display
• Up to 4 panels can be shown at a time

Notes​

• Heatmaps do not support trellis
• Trellis behavior may continue to evolve during the beta phase
• If you notice any unexpected behavior, please share steps to reproduce