Break Free and Own Your Insights: Introducing Eyevinn Open Analytics

In today’s streaming landscape, delivering exceptional experiences to viewers is no longer a competitive edge, it’s a baseline requirement. Yet the tools to monitor and optimize Quality of Experience (QoE) are often expensive, opaque, and tightly coupled to proprietary platforms. With Eyevinn Open Analytics, we’re introducing a new model: one where you own the data, the stack, and the roadmap.

Built on open standards and designed for flexibility, this analytics suite puts modern, AI-powered telemetry within reach for every player in the streaming value chain, from nimble AVOD startups to enterprise OTT providers.

Why Analytics Is a Strategic Priority

Video analytics have become mission-critical for media companies aiming to:

  • Proactively identify and resolve playback issues before users complain
  • Understand user behavior at the session level to guide feature development
  • Optimize delivery paths and CDNs to improve cost-efficiency
  • Implement data-driven A/B testing and performance benchmarking
  • Track key QoE metrics such as rebuffering, startup time, bitrate switches, and session drop-offs

Eyevinn Open Analytics enables all of the above, while removing the dependency on costly vendor solutions that charge per session, stream, or endpoint.

Built on Open Source: Flexibility Without Compromise

At its core, Open Analytics is an end-to-end, open-source telemetry solution. Every layer of the stack, from the data collection SDKs to the processing backends and visualizations, is yours to inspect, extend, and deploy.

Key Technical Principles:

  • No vendor lock-in: The stack is open-source under permissive licenses.
  • Cloud-agnostic: Deploy on any infrastructure — public cloud, private data center, or hybrid.
  • Full transparency and observability: Access the entire pipeline, from player events to dashboard output.
  • GDPR and compliance-ready: Control your data retention, processing, and storage in compliance with regional legislation.
  • Horizontally scalable architecture: Handle from thousands to tens of millions of playstarts per month.

This architecture supports flexible, low-cost scaling with a Total Cost of Ownership that is 50–100% lower than traditional commercial analytics licenses at scale. A typical production deployment with 20–50M monthly playstarts can cut costs from hundreds of thousands of dollars annually to just a few thousand, without compromising capability.

Analytics Meets Natural Language

The real game-changer? Built-in AI prompting via integration using the Model Context Protocol (MCP).

Using natural language, you can query the underlying analytics database like you would interact with an analyst or BI team. For example:

  • “Show me the top 5 error codes during live playbacks over the weekend.”
  • “Compare average rebuffering ratios for AVPlayer vs. ExoPlayer.”
  • “Which geography had the highest drop-off during ad breaks?”

Instead of learning new query languages or building custom dashboards for every question, stakeholders, from developers to product managers, can simply ask and get answers. This reduces the time from question to insight dramatically and enables true data democratization within your organization.

How It Works: Architecture in Focus

Eyevinn Open Analytics is composed of:

  • EPAS (Eyevinn Player Analytics Specification) — A structured standard for playback events across players like AVPlayer, ExoPlayer, and Shaka.
  • Lightweight SDKs — Embedded into the video player (e.g., AVPlayer) with just 3 lines of code.
  • Event Sink and Storage — Accepts and stores telemetry data in real-time.
  • Grafana Dashboards — Pre-built and customizable dashboards for immediate operational use.
  • MCP AI Query Layer — Enables AI-driven exploration, summaries, and prompt-based analysis.

Everything runs on top of a cloud-native stack that’s easy to monitor, update, and secure.

Getting Started: From POC to Production in Minutes

One of the most powerful aspects of Eyevinn Open Analytics is how quickly you can get it up and running.

Step 1: Deploy in the Open Source Cloud

Spin up a full Open Analytics instance in minutes via the Eyevinn Open Source Cloud (OSC). You can either configure it manually or let our AI assistant guide you using natural language. Say goodbye to lengthy provisioning scripts or waiting on vendor integrations.

  • Access your environment immediately
  • Zero hardware or DevOps knowledge required
  • Pay only for hosting or migrate later to your own infrastructure

Step 2: Integrate the SDK

Add the Player Analytics SDK to your video players. This typically takes:

  • 3 lines of code
  • Less than 30 minutes of developer time
  • No changes to core playback logic

import VideoStreamTracker #PLAYER ANALYTICS LIBRARY

private var eventLogger: AVPlayerEventLogger #ADDED EVENTLOGGER VARIABLE

#POINT OUT WHERE TO SEND LOGS
init() {
eventLogger = AVPlayerEventLogger(player: player, eventSinkUrl:
URL(string: "https://eyevinnlab-epasdev.eyevinn-player-analytics-eventsink.auto.prod.osaas.io")!)
}
#initiate player…

Step 3: Visualize and Explore

Start monitoring your data in real time through Grafana:

  • Use preconfigured Eyevinn dashboards or build your own
  • Connect directly to the Player Analytics database
  • Configure alerts, custom metrics, or scheduled reports

Then take it further with AI-based querying via MCP, enabling anyone on your team to ask questions in plain language and receive immediate insights.

Try It Today

You can begin your journey with Eyevinn Open Analytics right now. Launch your free proof of concept, explore the dashboards, and experience AI-powered insights, no contracts, no commitments.

Get Started: Eyevinn Open Analytics Guide

Own your data. Own your decisions.

With Eyevinn Open Analytics, you’re not just observing playback, you’re building a smarter, faster, and more agile streaming business.