AI · Cloud · Staffing for Media & Entertainment

We power digital content platforms with technology that scales, personalizes and monetizes — like Televisa/N+, Pulzo, Univision and Crónica.

Los 3 retos tech de Medios y Entretenimiento

Live launches with millions of concurrent users

A match, a premiere, or breaking news can generate 50× normal traffic in minutes. Infrastructure must scale frictionlessly without surprising you with the bill.

Monetization beyond pre-roll

Traditional CPM is eroding. Subscriptions, memberships, contextual ad-tech, and affiliate commerce require unified user data and continuous A/B testing.

VOD + live content pipeline

Ingest, adaptive transcoding, multi-platform DRM, automatic subtitles, and SEO metadata. All with sub-hour publishing SLA for news media.

AI for curation, personalization and moderation

Content recommendation engine, automatic summarization, copyright detection, and real-time comment moderation. Not optional features—table stakes.

Technical SEO for high-traffic portals

Millions of URLs, deep pagination, critical image for LCP, NewsArticle schema. A Core Web Vitals regression costs real organic traffic.

Cómo el marco I+C+S resuelve esto

AI for Media

Recommendation engines, automatic content classification and audience analytics.

Cloud for Media

Global CDN, elastic transcoding and serverless architectures for millions of streams.

Staffing for Media

Teams with experience in editorial platforms, headless CMS and digital video stacks.

10M+Active users on delivered platforms
50×Traffic spikes absorbed without degradation
<2sTime to first frame in live streaming
7 paísesWith media platforms in production

Industry challenges

Live launches with millions of concurrent users

A match, a premiere, or breaking news can generate 50× normal traffic in minutes. Infrastructure must scale frictionlessly without surprising you with the bill.

A trending topic can generate up to 50× normal traffic in < 10 minutes.

Monetization beyond pre-roll

Traditional CPM is eroding. Subscriptions, memberships, contextual ad-tech, and affiliate commerce require unified user data and continuous A/B testing.

VOD + live content pipeline

Ingest, adaptive transcoding, multi-platform DRM, automatic subtitles, and SEO metadata. All with sub-hour publishing SLA for news media.

AI for curation, personalization and moderation

Content recommendation engine, automatic summarization, copyright detection, and real-time comment moderation. Not optional features—table stakes.

Technical SEO for high-traffic portals

Millions of URLs, deep pagination, critical image for LCP, NewsArticle schema. A Core Web Vitals regression costs real organic traffic.

Regulatory frameworks we operate under

COPPA

Children's Online Privacy Protection Act (USA)

Required for any content directed at children under 13.

DRM

Widevine / FairPlay / PlayReady

Multi-platform digital rights management. Required for licensed catalog.

GDPR

Cookie and data consent

Applies to European audience. CMP and opt-out flows documented.

Habeas Data

Colombia / LATAM

Processing of registered user data and consumption preferences.

How we implement in this industry

Real patterns we have delivered, not theoretical slides.

OTT streaming platform from scratch

Multi-format ingest, transcoding with HLS/DASH packaging, DRM, geo-distributed CDN, iOS/Android/Smart TV apps, and unified analytics. Launch in 6 months.

Outcome: Televisa/N+ Case: millions of active users, 99.95% SLA.

News portal with world-class SEO

Sub-hour publishing, NewsArticle schema, green Core Web Vitals, pagination optimized for crawlers. AMP integration and multi-region CDN.

Outcome: Pulzo/Crónica case: millions of monthly visits with elastic infrastructure.

Hybrid recommender (collaborative + content-based)

Embedding model on consumption history and content metadata. Continuous A/B testing against editorial grid.

Outcome: 2.3× increase in minutes consumed per session.

Live event infrastructure with aggressive auto-scaling

Pre-warm infrastructure 30min before the event, circuit breakers between services, per-tenant monitoring. Manual rollback always available.

Outcome: 0 downtime in large-scale event broadcasts.

Our playbook for this industry

A repeatable method refined across 13 years and 7 countries.

01

Catalog, audience, and channel analysis

We understand your content grid, your current audience, and the devices they use. We prioritize features by retention impact.

02

Event-driven architecture ready for spikes

Multi-region CDN, asynchronous messaging, tiered caching, and observability from day 1.

03

Modular delivery with biweekly demos

First the player and catalog, then recommender, then ad-tech. Each module goes to production with feature flag.

04

Operations with FinOps and handover to your team

Active user cost is documented and optimized month over month. Your team receives ready-to-use runbooks and dashboards.

Industry signals you should know

73%
of video consumption in LATAM is via OTT streaming
Dataxis LATAM Report 2024
3.2×
Higher retention with personalized recommender vs. static grid
Nivelics benchmark con clientes en medios
40%
Digital ad inventory goes unfilled due to lack of unified data
IAB LATAM 2024

Common tech stack

AWS MediaConvertCloudFrontKafkaNext.jsReact NativeNode.jsPostgreSQLRedisElasticSearchPyTorchpgvectorWidevine / FairPlayDatadog

Questions from companies in this sector

Yes. We built Televisa's N+ (Mexico) from the ground up, operating with millions of active users. We also operate infrastructure for Univision (USA), Pulzo (Colombia), and Crónica (Colombia).

3 to 6 months depending on scope. The first sprint delivers a functional headless CMS with sub-hour publishing. Subsequent sprints add personalization, paywall, or ad-tech based on priorities.

Yes. We package with Widevine (Android/Web), FairPlay (Apple), and PlayReady (Smart TV). We integrate with regional and global DRM providers and manage output protection policies.

Critical image LCP, selective lazy loading, top-100 route prerender, and region-based CDN. We audit every sprint with Lighthouse on representative routes; regressions break the pipeline.

Python + PyTorch for training, embeddings served by pgvector or Pinecone, real-time ranking with FastAPI. Drift monitoring and A/B testing against editorial lineup.

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