PrismEngine PrismEngine
Upload Process Publish All in one place
PrismEngine is a platform that centralizes media uploads and every processing step, all the way to publication, in a single dashboard. Resumable upload, AI processing, invisible watermarking, and validation before anything goes public.
From upload to publication, without friction.
PrismEngine orchestrates ingest, processing, protection and publication for your media on your own infrastructure. One control layer to move faster and keep ownership of the pipeline.
Ingest, validation, processing, protection and publication stay in one pipeline. Fewer breaks, fewer tools.
Run PrismEngine on your own infrastructure, with security from ingest to publication.
Dashboard, automation, APIs and governance turn your library into a reliable publishing engine.
Ingest starts with qualified media.
Large media files land cleanly on S3-compatible storage, with ingest state tracked before the next steps begin.
Large transfers resume cleanly instead of starting from zero.
Originals and derivatives live in S3-compatible storage, not a closed upload silo.
Ingest state stays explicit so uploads can be monitored, resumed and operated.
Heavy processing runs on workers.
Previews, HLS, transcoding and AI enrichment move through dedicated workers while the backend, admin and APIs stay responsive.
CPU-heavy jobs run outside the server that handles the dashboard and APIs.
Photo previews, video renditions and HLS outputs are generated for real delivery workflows.
Invisible watermarking with proof.
Built on VideoSeal, PrismEngine embeds an invisible mark, checks it on key outputs and keeps proof attached to the asset.
Embedded into pixels rather than added as a visible overlay.
Detection is checked on the source and on useful derivatives before media is treated as protected.
Verification state, versions and proof stay attached to the media.
Public exposure is governed.
Public is more than a visibility flag. Media must be ready and structurally consistent before galleries or APIs expose it.
Media does not reach public surfaces unless it is genuinely ready for distribution.
A public media item cannot contradict the state of its album or series.
AI search finds what keywords miss.
Semantic search, visual similarity and structured filters help teams retrieve media by intent, resemblance or metadata.
Visual similarity and intent matching help when the exact term is missing.
Date, location, media type, format, resolution and dimensions remain queryable.