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Create integrations between Filestage and Nyckel
Import to Classifier in Nyckel when New Project is Created in Filestage
Classify in Nyckel when New Project is Created in Filestage
Center Detect using Nyckel when New Project is Created in Filestage
Train Classifier with Nyckel when New Project is Created in Filestage
Import to Classifier in Nyckel when Project is Archived in Filestage
Classify in Nyckel when Project is Archived in Filestage
Center Detect using Nyckel when Project is Archived in Filestage
Train Classifier with Nyckel when Project is Archived in Filestage
Import to Classifier in Nyckel when Project is Deleted in Filestage
Classify in Nyckel when Project is Deleted in Filestage
Actions and Triggers
When this happensTriggers
New Project is Created
Triggers When a new project is created
Project is Archived
Triggers when a project is archived.
Project is Deleted
Triggers when a project is removed.
New File Version Is Uploaded
Triggers when a new version of a file is uploaded.
File Version is Deleted
Triggers when a file version is removed.
New Folder is Created
Triggers when a new folder is created.
Do thisActions
Create Folder
Creates a folder.
Create Project
Creates a project in the specific folder.
Archive/Unarchive Project
Archives/Unarchives a chosen project.
Add Reviewers to Reviewers Group
Adds reviewers to a chosen reviewer group.
Create Review Comment
Creates a general comment for a provided version.
Get Reviewer Groups by Project
List all reviewer groups of a specific project.
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Frequently Asked Questions
About Filestage
Filestage is a collaborative platform designed to streamline the review and approval process for creative projects. It allows teams to share, review, and approve files such as videos, images, and documents in a centralized and organized manner, enhancing productivity and ensuring timely feedback.
Learn More
About Nyckel
Nyckel is a platform that provides machine learning as a service, enabling users to easily integrate AI capabilities into their applications without needing extensive knowledge in data science or machine learning. It offers tools for creating, training, and deploying machine learning models with ease.
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