ceven

Scale ai

Automates the creation and management of data labeling tasks, monitors batch progress, and syncs annotated results into your training pipeline.

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Why use Ceven?

  1. AI native Scale ai integration

    • Describe the outcome and Ceven picks the right Scale ai calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Scale ai data, across all 40 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Scale ai access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Scale ai, when, and on whose behalf.
    • The agent pauses and asks when Scale ai is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Scale ai.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Scale ai action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Scale ai, and when to use it.

Create Image Annotation Task
Use this when you need annotators to label objects in images using boxes, polygons, or points.
Create Lidar Annotation Task
Use this to mark objects with 3D cuboids in 3D space for point cloud data.
Create Video Annotation Task
Use this when you need geometric shapes drawn around objects across multiple video frames.
Create Named Entity Recognition Task
Use this to extract and label entities like people or locations from text blocks.
Create Batch
Use this to group multiple tasks together for organizational and processing purposes.
Finalize Batch
Use this to move a batch into the active state so workers can start labeling.
Get Batch Status
Pull the current status of a batch and the count of completed versus pending tasks.
Get Task
Retrieve detailed information about a specific task including its status and results.
List Projects
Pull a list of all projects in the account to browse metadata or project types.
Set Project Ontology
Use this to define the labels or classes that tasks will reference for a project.
Add Studio Assignments
Assign specific projects to team members using their email addresses in Scale Studio.
Import File
Use this to import files from an external URL endpoint into the Scale system.
Add Task Tags
Apply tags to an existing task for better organization and filtering.
Get Secure Task Response URL
Pull the authenticated URL for large response data like 2D segmentation or Lidar.
Create Document Transcription Task
Tool to create a document transcription task where workers transcribe and annotate information from single or multi page documents. Use when you need to extract structured data from documents like invoices, forms, or screenshots.
Create LiDAR Segmentation Task
Tool to create a LiDAR segmentation task where annotators assign semantic class labels to individual LiDAR points. Use when you need to annotate point cloud data with object classes such as vehicles, pedestrians, roads, buildings, etc. Eith
Create Segmentation Annotation Task
Tool to create a segmentation task where annotators classify pixels in an image according to provided labels. Use when you need pixel wise semantic segmentation of images.
Create Text Collection Task
Tool to create a textcollection task for collecting information from attachments and/or web sources. Use when you need to gather structured data from documents, websites, images, or other content by having taskers fill out defined fields.
Create Video Playback Annotation Task
Tool to create a video playback annotation task where annotators draw shapes around specified objects in video files. Use when you need to annotate videos with bounding boxes, polygons, lines, points, cuboids, or ellipses for object detecti
Delete Task Tags
Tool to remove specified tags from a Scale AI task. Use when you need to clean up or modify task tags.
Delete Task Unique ID
Tool to remove the unique identifier from a task. Use when you need to remove a task's unique identifier for enhanced data management control.
Get Assets
Tool to retrieve file assets with filtering capabilities by project and metadata. Use when you need to list or search for files uploaded to Scale AI, filtered by project and optionally by metadata. Supports cursor based pagination for large
Get Batch
Tool to retrieve the details of a batch with the specified name. Use when you need to check the status or configuration of an existing batch.
Get Fixless Audits
Tool to retrieve fixless audits by task ID or audit ID. Use when you need to fetch audit information for quality assessment. At least one of task_id or id must be provided.
Get Project
Tool to retrieve details about a specific Scale AI project using its unique identifier. Use when you need to get project metadata including type, name, parameter history, and creation timestamp.
Get Quality Labelers
Tool to retrieve training attempts matching provided filter parameters. Use when you need to assess labeler performance and understanding of task instructions. At least one of quality_task_ids or labeler_emails must be provided.
Get Studio Assignments
Tool to retrieve current project assignments of all active team users in Scale AI Studio. Use when you need to view team member assignments and workload distribution. Excludes invited or disabled team members.
Get Studio Batches
Tool to retrieve basic information about all pending batches in Studio. Use when you need to list batches organized by priority level.
Get Teams
Tool to retrieve basic information about all team members associated with the account. Use when you need to list team members, check roles, or view notification preferences.
Get Task by ID
Tool to retrieve detailed information about a specific task using its task ID. Use when you need to check task status, retrieve results, or analyze task metadata.

30 actions · scroll to see them all

Frequently asked questions

Ceven manages large datasets by leveraging the Import File action, which allows the agent to point Scale AI toward remote URL endpoints rather than uploading files directly through the workflow. This prevents memory timeouts and ensures that your raw data stays in your own cloud storage until Scale needs it. The agent can loop through a list of thousands of URLs and create individual tasks for each one, grouping them into batches to keep your workspace organized. By using paginated list calls, Ceven can track the progress of massive projects without hitting payload limits or crashing the workflow context during retrieval.
Yes. Ceven can be configured to pull task results and cross reference them against your internal gold standard datasets. By using the Get Task and Get Fixless Audits actions, the agent can identify tasks with low confidence scores or high disagreement rates between labelers. Once a problematic task is found, Ceven can automatically add a specific tag to that task for manual review or move it into a new batch for a second pass by a senior annotator. This creates a closed loop quality system where the agent handles the filtering and only humans perform the final audit.
Ceven simplifies team management by using the Invite Team Member and Studio Assignment actions. You can create a workflow that triggers every time a new contractor is added to your HR system, which then automatically sends a Scale AI invite with the correct role. Once the user accepts, the agent can assign them to specific projects based on their expertise. This removes the need for a manager to manually navigate the Scale Studio dashboard to provision access, ensuring that your labeling workforce is onboarded and assigned to active tasks in minutes rather than days.
Absolutely. Ceven has dedicated actions for Lidar and video annotation. For Lidar projects, the agent can create tasks that require 3D cuboid marking or semantic point cloud segmentation. Because Lidar response data is often too large for a standard JSON response, Ceven specifically uses the Get Secure Task Response URL action to fetch the actual coordinates and labels from Scale AI secure storage. This allows the agent to move high fidelity 3D labels into your training pipeline without losing precision or encountering API response size limits.
Project ontologies define the classes your model needs to recognize, such as car, pedestrian, or stop sign. Ceven can programmatically update these via the Set Project Ontology action. This is useful when you are iterating on a model and realize you need to split one class into two more specific categories. The agent can update the ontology across multiple projects simultaneously and then tag all existing tasks that used the old class, signaling to the labeling team that those specific tasks need to be revisited and updated to match the new schema.
One critical quirk is that certain actions, like finalizing a batch, behave differently depending on your account tier. For Scale Rapid and Studio customers, finalizing is a required step before workers can see tasks, but for other customer types, the API returns a success message without actually performing a state change. Ceven handles this by checking your account type in the project metadata first. Additionally, users must be aware of Scale AI API rate limits on task creation; if you attempt to create ten thousand tasks in a single burst, the API may throttle requests. Ceven manages this by implementing an internal queue and exponential backoff.
Yes. Ceven can be the bridge between Scale AI and tools like Snowflake or BigQuery. The agent can be scheduled to poll for completed tasks every hour, retrieve the final labels and metadata, and then write those records into your warehouse. This allows your data scientists to run SQL queries over the labeling progress and accuracy metrics without ever leaving their data environment. You can also trigger a Scale AI task creation directly from a row update in your database, creating a truly automated data labeling pipeline.
Ceven prevents tag clutter by using the Add Task Tags action, which is designed to avoid duplicate tags on a single task. Beyond that, you can build a cleanup workflow where the agent periodically lists all tasks with a specific tag and removes it using the Delete Task Tags action once the task has moved to a certain stage of the pipeline. For example, once a task is moved from the review batch to the final training set, Ceven can strip the review tag to ensure that your filters only show tasks that actually require attention.

Alternatives to Scale ai

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

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