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Data flow: Steg.ai ? Scaleflex
When new images or visual assets are uploaded into Steg.ai for analysis, the platform can identify objects, scenes, logos, and sensitive content, then pass enriched metadata to Scaleflex. Scaleflex stores the asset and uses the tags to organize, search, and route media for downstream publishing.
Data flow: Steg.ai ? Scaleflex
Steg.ai can inspect incoming media for unauthorized logos, copyrighted material, or sensitive visual elements before Scaleflex makes the asset available for web or app delivery. If a policy violation is detected, the asset can be flagged, quarantined, or routed for review.
Data flow: Steg.ai ? Scaleflex
Steg.ai classification results can inform how Scaleflex optimizes and serves assets. For example, product images, lifestyle imagery, and editorial visuals can be tagged differently so Scaleflex applies the right transformation rules, delivery formats, or compression profiles.
Data flow: Bi-directional
Steg.ai can detect protected or restricted content and send status flags to Scaleflex. Scaleflex can then enforce publishing rules, such as limiting access, applying expiration dates, or preventing distribution to public channels until approval is granted. Once rights are cleared, Scaleflex can publish the asset automatically.
Data flow: Steg.ai ? Scaleflex
Steg.ai can generate structured metadata such as object labels, scene descriptions, and content categories, which Scaleflex stores alongside the asset record. This improves governance, search accuracy, and asset reuse across departments and regions.
Data flow: Scaleflex ? Steg.ai
Assets uploaded into Scaleflex can be forwarded to Steg.ai for automated inspection when they meet specific conditions, such as being newly added, externally sourced, or marked as high risk. Steg.ai returns a review result that determines whether the asset can proceed to publication or needs human approval.
Data flow: Bi-directional
Steg.ai can enrich assets with recognition data, while Scaleflex distributes those assets to websites, campaign pages, and digital channels. Marketing, legal, and content operations teams can use the combined metadata and delivery status to track which assets are approved, optimized, and live.
Data flow: Steg.ai ? Scaleflex
Steg.ai can identify brand-sensitive elements such as logos, packaging, or proprietary imagery and attach protection tags before the asset is stored in Scaleflex. Scaleflex can then restrict download, transformation, or external sharing based on those tags.