Domain-specific AI platform for media operations
AI-native, built exclusively for media
Media organizations can no longer delay modernization, AI adoption, and audience-first operations. Legacy pipelines and fragmented data make it difficult to out-produce competitors. Our content AI frameworks and phased transformation strategies give clients the speed and relevance to compete — without compromising brand integrity and quality control.
AI-native, built exclusively for media
Automated subtitles, credits, and content detection
Accurate, multi-language transcription for broadcast content
Delivery-spec validation with zero human intervention
Sub-second search, replacing costly legacy licensing
No vendor dependency. No ceiling. No risk.
A single automated analysis pass generates every downstream deliverable — reports, edit decision lists, subtitles — cutting multi-day reviews to hours.
AI detects and flags at scale; your analysts make the final call, focused on exceptions, not manual scanning.
Outputs are delivered as industry-standard EDLs, subtitles, and reports that plug into your existing editing and archive systems.
Every flagged element is tied to an exact SMPTE timecode, making results immediately actionable, not just referential.
Rating, profanity, and content risks surface during review — before they become a costly on-air incident.
The same pipeline handles one title or an entire library — catalog growth becomes a throughput question, not a staffing one.
Every media exec is chasing "AI adoption." A generic model can summarize fine but fails to catch a profanity flag in broadcast files. It fails where the consequences are most expensive.
Read moreThe language models handling your bank and finance regulatory workflows won't be general purpose LLM's. This Gartner® report explains why — and who's already building them.