Scale automation for data labeling workflows
Route approved annotations, track labeling progress, and notify teams when datasets need review so machine learning projects stay organized.
Connect Scale with 2200+ apps
Ready to use Scale automations
Triggers and Actions in Scale Automations
viaSocket makes it simple to connect Scale and automate repetitive tasks.
When this happensTrigger
No trigger available
Do thisActions
Action is the task that follows automatically within your Scale integrations.
Get Tasks
Retrieve all the tasks for given project.
Create Batch
Create a new batch in a project to group related tasks for processing.
Pause Batch
Pause processing of an in-progress Batch. Only unstarted tasks will be paused.
Resume Batch
Resume processing of a paused Batch. Previously paused tasks will be resumed.
Finalize a batch
Mark a Scale batch as complete so no new tasks can be added.
Cancel Batch
Cancel processing of a Batch. Unstarted tasks will be cancelled. Completed batches cannot be cancelled.
Real-world use cases of Scale integrations
See how Scale integrates with popular apps to automate tasks and streamline your workflow.
Send newly approved Scale annotations to Slack for project review.
Log completed Scale labeling jobs in Google Sheets for dataset tracking.
Create Jira tickets when Scale quality checks fail on annotation batches.
Draft Notion summaries of Scale annotation guidelines after each model update.
Route approved Scale datasets to your CRM for customer-specific model projects.
Archive final Scale labeling reports in your database for audit-ready recordkeeping.
How to get started with Scale automations
Automate when something happens in Scale
Login -> Create new flow -> Select trigger -> Search Scale -> Choose the trigger from the list
Take action in Scale when something happens in an app or you want to add step in flow
Login -> Create new flow -> Select action -> Search Scale -> Choose the action from the list
Trigger
Action
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Frequently Asked Questions
It automates end-to-end labeling workflows: creating Scale jobs from new data, enforcing QA rules, routing labeled outputs to training or analytics, and triggering downstream actions like retraining or reporting.
Yes. viaSocket can run AI pre-labeling and confidence checks, send only uncertain items to Scale, and orchestrate the full handoff — reducing manual labeling and accelerating throughput.
By reducing manual steps and turnaround time for labeled data, you get faster model iterations, improved model quality, and quicker feature launches that drive customer value and revenue.
viaSocket uses encrypted connections and access controls to move data. You can restrict destinations, limit access, and configure retention. For compliance or residency needs, review viaSocket and Scale security and privacy documentation.
About Scale
Scale provides advanced AI-driven solutions for data labeling and annotation, helping businesses streamline their machine learning workflows.
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About viaSocket
viaSocket is an AI-powered, workflow automation platform that helps people and businesses connect apps and automate repetitive tasks. With thousands of integrations, anyone can build workflows to move data, cut manual work, and save time. Whether for simple tasks or large-scale processes, viaSocket makes automation easy and helps teams focus on what matters most.
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