In-Flight Entertainment for a Global Airline

Overview

The client, a globally recognized airline, sought to upgrade its legacy in-flight entertainment (IFE) system to meet the expectations of modern travelers. The old platform required manual updates, lacked personalization, and operated with fragmented backend integrations.
Our goal: transform the IFE into an intelligent, adaptive platform that could deliver personalized experiences while reducing operational overhead.

Challenge

Before partnering with Anuyat, the airline’s engineering and content teams faced recurring issues:

• Inefficient release cycles: Content updates took 4–6 weeks to deploy across global fleets.

• Fragmented integrations: Multiple systems for media ingestion, DRM, and device sync caused high latency.

• Limited analytics: No unified data layer to track passenger engagement or content consumption.

• Zero personalization: The experience was static and identical across demographics and flight routes.

The airline wanted a next-generation IFE platform capable of dynamic updates, real-time analytics, and intelligent recommendations — all under strict aviation and compliance constraints.

Solution

Anuyat designed and implemented an AI-enabled IFE modernization program blending automation, personalization, and edge-optimized delivery.
Our approach involved a combination of platform engineering and applied AI:

1. AI-First Platform Architecture

   • Introduced MCP-based integration layer (Model Context Protocol) to connect aircraft systems, cloud services, and partner APIs.

   • Established ACP modules (Agentic Commerce Protocol) for onboard purchases and content-based transactions.

2. Automated Content Pipeline

   • Built end-to-end automation for content ingestion, encoding, and delta updates.

   • Reduced manual intervention using agentic DevOps for OTA deployments.

3. Personalized Passenger Experience

   • Implemented NLP-based recommendation models analyzing watch history, destination, and language preferences.

   • Enabled adaptive UI rendering for different cabin classes and devices.

4. Analytics and Observability Layer

   • Designed real-time dashboards for content performance, passenger engagement, and error monitoring.

   • Integrated predictive alerts for bandwidth optimization and device sync issues.

Results

✅ 40% reduction in release cycles — updates deployed fleet-wide in days, not weeks.
✅ 22% higher passenger engagement — measurable uplift in content consumption.
✅ 30% lower operational effort — automated workflows replaced manual packaging and uploads.
✅ Future-ready architecture — scalable for AI copilots and real-time interactions.

The IFE platform evolved from a legacy system into a smart entertainment ecosystem—adaptive, data-driven, and operationally efficient.

Tech Stack

Impact Summary

Transformed content update frequency from monthly to weekly.

• Unified multiple content sources under one MCP-enabled integration layer.

• Delivered personalized experiences across 100+ aircraft.

• Reduced downtime and improved data observability by 3×.

Client Speaks

“Anuyat’s AI-driven approach helped us reimagine our in-flight entertainment experience. What used to take weeks now happens in a few days, with richer insights into passenger engagement.”
— VP, Digital Experience (Client Airline)