SafeViews
Create purpose-specific transformed views that reveal only what is needed by a particular collaborator or workflow.
Core product directionPrivacy-safe AI data preparation
OpenMask
Controlled visibility for AI data. Prepare and annotate sensitive visual datasets while minimizing unnecessary exposure to raw confidential content.
Working web annotation prototype · Broader platform in development
An Aktingtoons Media product
Why OpenMask
Give AI teams usable data without unrestricted visibility.
Sensitive images and technical documents can contain more than model developers or annotators need to see. OpenMask is designed to transform source material into policy-controlled views for preparation, annotation, and responsible AI workflows.
The working MVP includes a web-based annotation service with some OpenMask functionality. Specific enterprise controls and end-to-end workflows described below are product directions, not claims of production deployment.
01 · IngestSelected visual files
02 · ProtectMask and generate SafeViews
03 · AnnotateReview structured labels
04 · ExportAI-ready datasets
Platform capabilities & planned features
A controlled data workflow
Policy-based masking
Define visibility rules for protected regions and confidential information before data is shared.
Planned expansionWeb annotation
Use browser-based tools for visual data labeling; a working annotation-service MVP already exists.
MVP evidenceReview and approvals
Separate annotator, reviewer, and publisher responsibilities with a traceable quality-control workflow.
Planned expansionAI training exports
Prepare approved annotation layers for model workflows, including COCO and YOLO formats.
Product directionLineage and access
Keep source, SafeView, annotation, and exported dataset versions associated with permitted users and actions.
Planned enterprise capabilityIllustrative use cases
Where it can help
Industrial schematics
Prepare technical diagrams and structured symbol datasets for classification and detection workflows.
Example use caseRegulated document workflows
Reduce unnecessary visibility during annotation of sensitive visual material.
Potential customerEnterprise computer vision
Enable teams to work on annotations and AI-ready training data with clearly defined access boundaries.
Potential customerProduct direction
Focused on the practical first step.
The initial product wedge is privacy-safe dataset preparation and annotation for regulated AI teams. Secure sharing, export automation, stronger auditing, and a future marketplace may follow after the fundamental workflow is validated.
Available evidence
A working web-based annotation prototype exists. It provides the basis for iterative workflow testing; production-grade security certification and enterprise adoption are not claimed.
Longer-term vision
A permissioned ecosystem connecting data owners, annotators, model developers, and AI integrators without making full raw datasets unnecessarily accessible.
Discuss a dataset workflow
Interested in a pilot, technical partnership, or early access? Tell us the type of visual data and workflow you need to support—without sending confidential source files in an initial email.
Contact OpenMask