On-premise satellite downlink/uplink infrastructure, e.g., live feed ingestion and digital distribution of linear TV channels.
Media operations team supporting the content pipeline end to end, experienced in complex media workflows, live events, and managing content providers.
Carrier-grade network security
Carrier-grade network security based on Cisco Firepower 9000 firewall and redundant fiber-optic 10G network connectivity.
On-demand linear channel origination (e.g., from VOD assets) and live events control room (connected to production trucks in real time) for IP-based distribution.
24x7 Service operations
24x7 Service Operations Center (SOC), dedicated to infrastructure and application performance monitoring, incident/problem management, change control and automation.
Media processing datacenter
On-premise media-processing datacenter with dedicated live encoders, VOD virtual encoding farm and Live2VOD capability.
Professional Media Services
We specialize in complex workflows demanding carrier-grade performance.
Our bench of media professionals has unrivaled industry expertise, having built and managed Tier 1 OTT service around the world. Service areas include: Media Operations, Content Enrichment, and Personalization.
The success of OTT services ultimately relies on the quality of content. After securing the rights, the next challenge is onboarding VOD assets and configuring linear channels to specification.
For example, VOD media packages include video and audio tracks, subtitles, images, metadata, schedules, etc.
Managing ingestion across diverse content providers and specifications can be daunting.
We focus on establishing a direct working relationship with content providers, agreeing on an onboarding process, and orchestrating the learning loop that will help streamline content onboarding over time.
CP relationship management
Linear channels monitoring
After establishing an initial workflow and ensuring content availability, the next hurdle is lacking depth and quality in the associated metadata.
The first step involves aggregating, validating, and filling in the gaps of basic metadata obtained from content providers. This can be amplified using 3rd party data sources and analyzing the content itself to extract useful insights/markers (e.g., sentiment, style, named entities).
We focus on creating the richest dataset possible to fuel an outstanding user experience, with emphasis on assisted content curation and personalization.
Real time data streams, e.g., sports
Deep content analysis
With the proliferation of content and viewing platforms, matching user habits and preferences with the right titles becomes a differentiating factor. It helps drive engagement, reduce churn, and optimize content spend.
We focus on providing curation teams with the tools and insights to discover content for a particular audience. We also analyze consumption patterns and popularity trends to feed programmatic recommendations that can complement manual curation efforts.