Automate your
streaming operations
End-to-end observability, AI-powered incident diagnosis, and QoE-aware multi-CDN.
Less firefighting, more viewing.
• QOE FIRST •
• AUTOMATION •
• STANDARDS •
Fewer incidents. Lower OPEX.
Fix issues before viewers notice
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ML spots outliers by device, app, CDN path, ISP
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Root-cause hints with clear fix steps into Slack/Jira/Teams
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Optional auto-actions: repackage titles, adjust routing
One source of truth
- CMCD + server/CDN + packaging/encoding logs aligned
- Session-level views and clean cohort comparisons
- Faster investigations with fewer blind spots
QoE-aware delivery
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Per-session steering via HLS/DASH Content Steering
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Mid-stream switches; enable low-latency only when it fits
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Balance QoE, cost, and energy
Streaming analytics and automation platform
From raw streaming data and system logs to actionable results: EINBLIQ.IO detects patterns, investigates root causes, and delivers hands-on guidance directly into your ops workflow.
What’s new
Try our CMCD v2 live demo
Common Media Client Data version 2 (CMCD v2) is just around the corner, with great progress in the standardization process at CTA WAVE. Here’s our first live CMCD v2 demo: dash.js sending metrics straight to our EINBLIQ.IO backend. Try it out
Meet us at IBC 2025
See EINBLIQ.IO at IBC 2025: CMCD v2, ML, and AI agents that turn streaming analytics into real-time action—cutting OPEX, fixing issues early, and keeping viewers engaged.
How ARTE navigates streaming complexity…
…and fixes issues before users notice. When your catalogue spans seven languages, three packaging formats (MP4, HLS, DASH/CMAF) and a growing mix of AVC- and HEVC-based bitrate ladders while rolling out UHD and serving a heterogenous variety of device types, operating...