February 2026
February added roles to AI Studio, search ranked by relevance and a reworked template editor. You can now chat with support from inside the product.
Highlights
AI Studio roles
AI Studio (previously Data Studio) now has its own access model. Each user is a member of an objective, with a role that sets what they can do with its samples and models. Organisation administrators manage these memberships in organisation settings. Creating an objective makes you a member automatically. When you remove someone's role, they are also disconnected from the models they were attached to.
Week of 2 February
AI & data
- AI Studio roles: described above.
- Advanced sample filters: filter samples on many more criteria, when browsing and when importing.
- Sample sorting: sort the sample list.
Validation
- API lookup values kept: values from an API lookup count as user edits, so a later prediction does not overwrite them.
Interface
- In-app support chat: start a support conversation from inside the product.
Fixes
- Your edits are no longer lost when the whole task is validated.
- Pagination in single-step projects works again.
- Creating a task no longer requires an unrelated permission.
Week of 9 February
AI & data
- Benchmark settings: a model can store its own benchmark configuration.
- Version switching: switch versions in the interface.
Validation
- Faster lookups: lookups are much faster.
Import & document processing
- TIFF support: TIFF files are accepted, and a project setting lists the accepted file formats.
- Text grouping v2: a new way of grouping text in plain-text documents.
- Re-upload tasks: re-upload a task from the interface.
Search
- Relevance ranking: list tasks and uploads by search score, with matched terms highlighted.
Interface
- Readable audit log: the audit log is formatted for reading.
- Diagnose button: trace why a model produced a given prediction.
Fixes
- Searching by task or upload name returns complete results again.
- Navigation no longer mixes up current and cached state.
Week of 16 February
AI & data
- Objective management: create, edit and delete objectives, with confirmation before deleting.
- Metadata filters: filter samples and imports on document metadata.
- Page-based chunking: documents are chunked by page, so the model keeps each page's context.
Validation
- Field validation: configure validation per field.
- Labels table: a new labels table with more controls.
- Accuracy filter: filter tasks by prediction accuracy, for single-step projects first.
- Annotation preferences: set your preferences in the annotation editor.
Fixes
- RTF documents no longer fail to import.
- Deleting a label also removes it from templates.
Week of 23 February
Validation
- Template editor: empty lines stay in the grid, labels are placed automatically, and labels that are not placed are clearly marked.
- Lookup enums: back a lookup field with a fixed set of values.
Configuration
- Pipeline settings: pipeline settings use the same structure as the rest of the product's settings.
- Segmentation on the pipeline step: segmentation is now set on the pipeline step, no longer at project level.
Notifications
- Reply to the uploader: send a notification back to whoever submitted the document.
Fixes
- Duplicate names show a clear validation error.
- More date formats are recognised.
- Page-based chunking settings now take effect.