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
Fastly × Hydrolix × EINBLIQ.IO at IBC
At IBC 2026, we’ll demonstrate a joint proof of concept with Fastly (13.D301) and Hydrolix (14.C47) that connects player-side QoE, CDN delivery data and automated investigation in one workflow. The setup uses dash.js v5.2.1 with CMCD v2 support for live playback...
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...
