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
Measuring DVB-I with CMCD v2
Open telemetry for converged TV DVB-I is moving from trials towards real deployments. That also raises a basic question: how do broadcasters understand what is actually happening on DVB-I clients across devices and implementations, without building another proprietary...
Hydrolix × EINBLIQ.IO at IBC 2026
From CDN observability to proactive investigation: what we're testing with Hydrolix at IBC At IBC 2026, we’ll be showing a work-in-progress integration between Hydrolix and EINBLIQ.IO. Hydrolix announced the integration as one of its four live partner demonstrations...
IBC 2026: Join us!
From streaming data to action: CMCD v2, machine learning and agentic investigation IBC is returning to Amsterdam from 11–14 September 2026, and this year EINBLIQ.IO will be exhibiting as part of the German Pavilion. Meet us at booth 3.B48c to see how high-fidelity...