Software development and AI pod teams for media and entertainment

Ryz staffs senior Latin American engineering teams for media and entertainment companies: streaming apps and video pipelines, ad insertion and measurement, rights and royalties systems, and the metadata platforms that tie them together. Our AI pod teams build captioning, content tagging and archive search in your cloud and take them to production. Teams work on US business hours, so the engineers fixing a live-event problem are online when your audience is.

Media companies run several businesses on one stack: subscriptions, advertising, licensing and syndication, often on systems inherited from mergers. Trusted by Fortune 500 engineering teams, Ryz brings engineers from the top 1% of the tens of thousands we interview, and they work on your team, in your repos and on-call rotations.

What we build for media and entertainment teams

• Streaming and FAST apps. Web, iOS, Android, tvOS, Android TV, Roku, Samsung Tizen and LG webOS apps that share business logic, plus FAST channel playout and EPG data for free ad-supported channels.
• Video supply chain. Ingest from studios and partners, IMF packages, transcoding with AWS Elemental MediaConvert or FFmpeg, HLS and DASH packaging with CMAF, and multi-DRM with Widevine, FairPlay and PlayReady.
• Ad insertion and yield. Server-side ad insertion with AWS Elemental MediaTailor or Google DAI, SCTE-35 markers for live, VAST 4 and VMAP, Prebid and OpenRTB integrations, and frequency capping that works across devices.
• Rights and avails. Systems that track territories, windows, holdbacks and exclusivity so content only plays where the license allows, and royalty and participation reporting for talent and licensors.
• Metadata and catalog services. Title, episode and asset graphs keyed to EIDR identifiers, Gracenote or TMS data, and partner deliveries to Apple, Amazon, Roku and cable operators in their specs.
• Publishing and newsroom platforms. Headless CMS builds on Arc XP, WordPress VIP, Contentful or Sanity, paywall and metering logic, and newsletter and push systems that handle breaking-news spikes.
• Music and audio. DDEX ERN feeds to DSPs, usage report ingestion, podcast hosting and dynamic ad insertion, and royalty calculation pipelines.
• Subscriber and entitlement services. Billing with Stripe, Recurly or Zuora, in-app purchase receipts from Apple and Google, TV Everywhere authentication and churn-saving offers.

Where AI pods help in media and entertainment

Media AI work is mostly about data at scale: thousands of hours of video, decades of archive and metadata that was never clean. Our AI pod teams treat accuracy, cost per hour of content and human review as first-class requirements.

• Captioning, transcription and dubbing support. Speech-to-text with speaker labels, caption timing that meets FCC quality standards, and translation drafts for subtitle teams. The engineering challenge is accuracy on names, music and crosstalk, and a review tool editors actually use. Our pods have shipped production speech systems, including an AI voice platform with more than 1M outbound calls.
• Content tagging and compliance review. Vision and language models that tag scenes, objects, logos and sensitive content so standards teams and ad sales can find it. Models propose, people approve, and every tag carries a timecode and confidence score.
• Archive and newsroom search. Retrieval over transcripts, scripts and metadata so producers can find "every clip of this person at this venue" in seconds. This is a RAG and hybrid search problem with strict rights filters on every result.
• Highlights and clipping. Detecting key moments in sports and live events from audio, scoreboard data and play-by-play feeds, cutting clips for social with editors in the loop.
• Recommendations and personalization. Ranking models that balance engagement with editorial priorities and rights windows, with A/B tests tied to retention rather than clicks.

See what our pods have shipped on the case studies page.

Regulations and constraints our engineers work within

• Video Privacy Protection Act (VPPA). Sharing viewing history with third parties, including through tracking pixels, has drawn many class actions. Our engineers have experience designing analytics and ad integrations with that risk in mind.
• COPPA. Kids' profiles and child-directed content limit data collection and ad targeting, which shapes app architecture and ad decisioning.
• FCC closed captioning rules and the CVAA. Programming shown on TV with captions must keep them when delivered online, and video apps need accessible controls.
• Privacy and ad consent. CCPA/CPRA and other state privacy laws, GDPR, and the IAB Transparency and Consent Framework and Global Privacy Platform signals passed through to ad partners.
• Content security. Studio and MPA content security best practices and Trusted Partner Network (TPN) assessments for vendors handling pre-release content, plus forensic watermarking and DRM requirements in license agreements.
• Accessibility. WCAG 2.1 and 2.2 AA for web and app interfaces.

Our engineers follow your studio and partner security requirements in your environment. Ryz does not claim TPN, SOC 2 or other certifications for its teams.

Integrations and data

• Media asset management: Dalet, Avid MediaCentral, Iconik, Frame.io and cloud storage tiers for mezzanine files.
• Ad tech: Google Ad Manager, FreeWheel, SpringServe, Prebid Server, and measurement with Nielsen DCR, Comscore and iSpot.
• Analytics: Conviva or Mux for playback quality, and event pipelines into Snowflake, BigQuery or Databricks built by our data engineering teams.
• Partner specs: Apple TV, Amazon, Roku and Netflix delivery requirements, and cable or vMVPD feeds.
• Identity and billing: TV Everywhere providers, app store subscriptions and CRM platforms.

How teams engage Ryz

• Staff augmentation. Add senior player, backend or ad tech engineers to your team for a launch or a new device platform. For video-specific hiring, see hire media and streaming developers.
• Dedicated development team. A Ryz team owns a scoped system, such as a rights and avails service, a CTV app rebuild or a CMS migration.
• AI pod. A pod of senior engineers, including a tech lead and an ML engineer, builds captioning, tagging or archive search in your cloud and runs it to production.

The steps are Talk, Match, Join and Grow. Typical cost is $7,000–$15,000 per engineer per month: mid-level $7,000–$10,000, senior $10,000–$15,000, leads $15,000+. A five-person senior team at $12,000 a month for six months is $360,000. You get a plan, a price and the names of the people before work starts.

When Ryz isn't the right fit

• You want a production company or creative agency to make content. We build the software around it.
• You need follow-the-sun broadcast operations staffed from Europe or Asia time zones.
• You want a quick hourly gig from a freelance marketplace, or a packaged media AI platform rather than a team that builds in your stack.

Related

• Computer vision development
• Mobile app development
• Telecommunications software and AI pod teams
• Edtech software and AI pod teams
• NLP development

FAQ

Can your teams build apps for smart TVs and streaming devices?

Yes. Our engineers build for Roku (BrightScript and SceneGraph), tvOS, Android TV and Fire TV, Samsung Tizen and LG webOS, and share as much logic as each platform allows. Certification rules differ per store, so we plan submission timelines with you.

How do your engineers handle pre-release content and viewer data?

They work in your environment, under your access controls, watermarking and logging, and follow the content security requirements in your studio agreements. Viewer data stays in your accounts. Ryz does not claim TPN or SOC 2 certification; our engineers have experience working within those programs.

Is AI captioning accurate enough for broadcast?

Not on its own for every program. Our pods build speech-to-text pipelines with custom vocabularies and a human review step, then measure word error rate and caption timing against your standards before content goes out.

What does a media engineering team cost?

Typical rates are $7,000–$15,000 per engineer per month by seniority. Project cost is team size times months times rate; three senior engineers at $11,000 for five months is $165,000. We quote per team after scoping.

Do you work with publishers as well as streaming services?

Yes. Our teams build CMS, paywall, newsletter and archive search systems for publishers, and video, ad and rights systems for streaming services and studios.

Questions we didn't answer? Email info@ryzlabs.com.