HighSee analyzes user sessions for OTT Video Streaming, Cloud Gaming, and Collaboration Tools. It generates indicators on Service Utilization, Quality of Experience, Media, and detectes events that adversely impact the user experience, such as ‘freezes’ (video stalls), or poor ‘play start’ times. This information is crucial for telecom companies to proactively manage customer retention and monetization strategies.

Analytics applications processing HighSee session records can spot sessions that received poor Quality of Experience (QoE) and determine whether the problems are caused by media servers' performance or network behavior. With such information, Network operators can manage QoE levels for users' groups under specified contracts, Video Caching performance, and Service Level Agreements (SLAs) with OTT Providers.

HighSee provides comprehensive Quality of Service (QoS) measures for client-server applications, such as OTT video over SSL/QUIC, and for UDP/(S)RTP-based peer-to-peer streaming, commonly used in gaming and video conferencing. The HS4TM (HighSee for Transport Monitoring) application accurately measures latencies and round-trip times for all QUIC and TCP communications, despite QUIC encryption and optional spin bits. Furthermore, HS4TM delivers valuable KPIs, such as User Data Rate, and DNS performance analysis. All KPIs can be grouped by Application, Client address, Client NAT, Tunnel addresses, and Network Slice, enabling precise and detailed troubleshooting.

Short and sudden network impairments, such as burst packet loss or jitter spikes, can severely disrupt real-time applications like live streaming, video conferencing, and gaming. HighSee addresses this by calculating performance indicators using application packets. This granular approach preserves critical detail, enabling precise Root Cause Analysis (RCA), reducing Mean Time To Repair (MTTR). HighSee's efficient data processing results in a substantially lower storage and computational footprint compared to standard IP flow records. This translates to reduced cloud storage and processing costs, offering significant operational advantages.

Utilizing enriched session records obtained through control plane correlation, it becomes straightforward to identify the cells and devices contributing to poor Quality of Experience (QoE). Similarly, when starting from loaded cells, nodes, or devices, it’s easy to determine the impacts on the user QoE they serve. By linking poor QoE to QoS, Network Operators can effectively manage QoS levels and network resources for each application and category, quickly closing gaps but avoiding excessive resource allocation.

HighSee can be distributed as a Linux library with an API, making its integration a breeze. Alternatively, it can run as a stand-alone tool on standard x86 architecture, fed by probes or data brokers, ensuring a low resource footprint.

Reduce Churn and Retain Customers.
Proactive marketing actions for subscribers receiving poor service experience.

Optimize Costs.
Feed analytic tools that drive Zero Touch processes.
Evaluate Network Capacity (Cell, RAN, CORE) VS UX, Cache VS no Cache, 5G NSA VS SA.
Root cause of impairments impacting users.

Full visibility of the Video quality delivered.
First hand information to manage the relationship of TELCOs with CDN and Video Service Providers.