See how each completed trial moves through its parameters and targets in a single parallel coordinates chart.

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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

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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

Weight each discrete parameter with its own coefficient, and see a preview of the rule as you build it.

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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

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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

Follow optimization progress more clearly with completed results ordered as observations and predictions grouped separately.

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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

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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

Explore how each parameter influences experiment targets with SHAP-based importance visualizations.

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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

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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

View BayBE target predictions and their uncertainty for Pending and Accepted trials.

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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%

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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

Sync your experiment trials to a linked Foundry dataset with one click, writing a snapshot of all trial data as a Parquet file.

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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

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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

Save and reapply chart configurations across Plot Builder and Correlation analysis. Build up a view by adding chart settings one tab at a time, then share a link to reproduce the exact setup.

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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

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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

Catalyst Assist can now answer questions about the data in your study — counts, averages, distributions, and filtered breakdowns — by querying the dataset directly.

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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

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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

The folder picker is now easier to navigate, supports deeper search drill-down, and lets you create folders in the right place.

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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

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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

Ask questions about Catalyst and get instant, documentation-backed answers — right from the sidebar.

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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

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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