accelerators

Distribution

Our intelligent distribution accelerators streamline metadata tagging, quality verification, and format conversion. Through content intelligence and compliance, we increase distribution efficiency, improve content accessibility, maintain quality standards, and enable seamless delivery across broadcast, OTT, and digital ecosystems.

Request a demo

1. Transcoding pipeline generator

Optimize every stream for every screen

Delivering high-quality videos across devices, networks, and platforms requires balancing viewer experience, bandwidth consumption, processing costs, and operational efficiency. Every asset needs the right combination of resolution, bitrate, codec, and adaptive bitrate profiles to achieve that balance. As content volumes grow, manual designing and managing these encoding workflows becomes increasingly complex.

Transcoding pipeline generator brings intelligence to this critical stage of the media supply chain. It analyses media assets and automatically generates optimized encoding plans, adaptive bitrate ladders, and processing workflows based on content characteristics and delivery requirements. By orchestrating the end-to-end workflow from ingest to delivery, including approvals and cloud-scale execution, it helps media teams prepare distribution-ready assets faster while optimizing quality, infrastructure utilization, and operational efficiency.

increment

Accelerate media processing

connected settings

Optimize quality & efficiency

 

search document

Scale multi-platform delivery

Key features

AI-driven processing strategy

Analyze asset characteristics and delivery requirements to recommend codecs, formats, resolutions, packaging rules, and workflow steps.

Adaptive bitrate ladder optimization

Optimize bitrate ladders for viewing experience, bandwidth efficiency, and playback performance.

Intelligent workflow orchestration

Automate end-to-end media processing across single or multi-stage pipelines with configurable execution rules and processing dependencies.

 

Multi-profile output generation

Generate delivery-ready assets across multiple formats, resolutions, renditions, and adaptive bitrate profiles for different platforms and devices.

Cloud-scale execution & visibility

Use event-driven cloud processing with real-time workflow progress, job tracking, and scalable execution across media workloads.

Governed delivery & secure transfer

Manage approvals, workflow states, and secure asset transfers while maintaining visibility from processing through final distribution.

 

2. Media quality inspector

Identify issues before they reach the audience

As media moves across OTT platforms, broadcasters, FAST channels, and digital distribution networks, quality issues can become costly once an asset reaches the final delivery stage. A single corrupted frame, audio dropout, missing subtitles, or loudness issue can disrupt the viewing experience and trigger rework, delayed releases, or failed delivery checks. With growing content volumes, manually inspecting every asset is no longer a scalable approach.

AI Media Quality Inspector brings intelligence to media quality control by automatically analyzing video, audio, and subtitle streams for technical defects before distribution. It combines computer vision, audio analysis, metadata validation, and automated quality assessment to identify and correlate issues, assign severity and confidence, and generate timestamped evidence for every detected defect. Human reviewers remain in control, with an interactive review workflow that enables them to validate findings and make the final quality decision.

verify

Reduce manual QC effort

scan

Improve defect detection accuracy

 

send-1

Accelerate content delivery

 
 
Key features


Media validation & data extraction

Validate assets and extract essential technical metadata like resolution, languages, formats, etc.


AI video quality analysis

Analyze video frames to detect visual defects such as black frames, freezes, frame corruption, color bars, interruptions, and frame drops.


Intelligent audio quality analysis

Analyze audio tracks for silence, dropouts, clipping, loudness spikes, missing channels, and audio imbalance.

 

Subtitle & caption quality validation

Validate subtitle availability and integrity alongside the media asset to identify missing or incomplete subtitle files.

AI-powered issue correlation & scoring

Combine findings across video, audio, and subtitles, remove duplicate issues, assign severity and confidence, and generate an overall quality score with recommendations.

Human review & decision support

Generate timestamped reports with evidence frames and issue timelines, allowing reviewers to validate findings, override recommendations, and selectively approve or reject assets.

 

3. Metadata tagging & enrichment

Turn media into searchable knowledge

Every media asset contains valuable information about people, places, topics, scenes, and moments, but much of it remains hidden within unstructured content. This information is usually embedded within hours of video and audio, but without structured metadata, finding and reusing that content can become a manual search exercise.

Metadata tagging and enrichment makes media content discoverable by understanding what is inside every asset. It automatically extracts transcripts, keywords, entities, faces, celebrities, and other rich content signals, turning unstructured media into searchable intelligence. The result is a media library that teams can navigate, enrich, reuse, and activate far more effectively. 

send-1

Faster content processing

2_Interactive-admin-console

Improve content discoverability

 

code check

Higher metadata accuracy

Key features


Intelligent content understanding

Analyze audio, video, speech, faces, scenes, and technical metadata to understand each asset


AI-powered metadata generation

Generate keywords, labels, entities, topics, facial recognition, celebrity detection, and structured scene-level metadata automatically.


Content intelligence & discovery

Enable semantic search, content discovery, archive exploration, and content reuse across projects and enterprise media repositories through enriched metadata.


Human-in-the-loop metadata review

Review, validate, edit, and regenerate extracted metadata using configurable confidence thresholds to achieve production-grade accuracy.


Agentic metadata orchestration

Coordinate specialized AI agents to perform transcription, facial recognition, entity extraction, labelling, and metadata generation through an intelligent orchestration workflow.


Enterprise integration & delivery

Export enriched metadata in structured formats for seamless integration with MAM, DAM, CMS, search platforms, and downstream production workflows.

 

this is the form test
form test

Connect with our experts