Media and entertainment software development

Media software has three requirements that standard application development doesn't. First, video delivery at scale requires specific infrastructure: adaptive bitrate streaming, CDN configuration, buffer and latency management, and device-specific player behaviour. Second, content rights must be enforced in the software, not just documented elsewhere. Territorial restrictions, windowing rules, platform exclusivity, and licensing expiry all have to produce the right access decision at the point of playback. Third, media metadata is complex and high-volume. A library of 10,000 titles with multiple formats, languages, and rights configurations needs a CMS designed for that structure, not a blog CMS with extra fields.

Yes. We build platforms that handle both. Live streaming uses a different delivery path than on-demand: RTMP ingest from broadcasting equipment, real-time transcoding, and low-latency delivery to viewers. On-demand uses pre-transcoded content stored in cloud storage and delivered through a CDN. We build platforms where both live and on-demand content are managed from the same CMS and played back through the same player, with different delivery paths handled in the infrastructure layer.

Rights management in media software means encoding the commercial terms of a rights agreement into rules the platform enforces at the point of content access. We build rights data models that capture the territory, platform, window, and exclusivity parameters for each piece of content. The playback system checks the user's location, device, subscription tier, and the content's rights record before authorising play. When a rights window expires, access is removed automatically. Rights data is maintained in the CMS so your rights team can update terms without a code deployment.

The most useful AI features in media are content recommendation, automated subtitling and transcription, and content moderation. Content recommendation uses viewing behaviour: what users watch, how long, what they watch next. It surfaces relevant content rather than relying on recency or editorial curation alone. Automated subtitling and transcription uses speech recognition models to produce subtitle files and transcripts at a fraction of the manual cost, with a review step for accuracy. Content moderation uses classification models to flag user-generated content for human review rather than requiring a moderator to watch everything. We scope AI features around the specific manual task they replace, so the ROI case is clear before development starts.

Yes. We build multi-channel publishing workflows where publishing once in the CMS pushes content to web, iOS, Android, and connected TV apps at the same time, with channel-specific formatting and metadata. Manual channel-by-channel publishing is the operational inefficiency it replaces.

We launch a validated v1 in 10 to 16 weeks, then grow it in phases. A first module, catalog plus player plus subscriptions, starts around $25K to $45K. Rights management, DRM, multi-channel publishing, and AI features are added as later phases as the platform grows. Fixed cost, agreed before each phase starts.