SuperNetflow For
Experience
Security
Observability

Extract highly curated and contextualised intelligence from your Broadband Networks

Canopus highlights how SuperNetflow could have prevented the Netflix live-stream fiasco

Power your AI engines with fine-grained real-time intelligence on network performance, user behaviour, and application experience

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Fuel for AI, Analytics & Automation

Democratize access to high-fidelity network intelligence across business units by breaking data silos for data driven decisioning.

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Improve Customer Experience

Gain real-time insights into individual user behaviour and application performance to improve CSAT and NPS.

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Reduce CapEx & OpEx

Minimize the need for expensive hardware probes; reduce compute & storage operational costs with on-demand data streams.

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Manage the Network Proactively

Identify and resolve issues in near real-time with accurate subsecond QoE measurements, improving network reliability.

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Future-Proof Elastic Architecture

Easily scale with actual network demands, supporting both small deployments and carrier-scale networks, enabling CSPs to avoid locking into rigid hardware investments.

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Faster Time to Market

Leverage AI-ready, structured data streams for effective analytics, enabling quicker business decisions for launching and managing Telecom services.

AI Powered Traffic Classification and User Experience Measurement

Patented AI engines that analyse encrypted traffic to provide accurate and fine-grained visibility into user experience measures for a wide range of applications from streaming and gaming to conferencing and social media.

Suitable for broadband, mobile, satellite, enterprise, private, and military networks

Accepts physical or virtual tap/mirror user-plane traffic from BRAS/BNG and SGW/PGW links and network elements.

Deployable in bare-metal, virtualized, and cloud-native environments

Software can be deployed in a range of standardized operational environments based on scale and speed requirements.

Highly performant & scalable packet processing using eBPF

Kernel processing using eBPF supports high throughputs per core while maintaining full accuracy.

Real-time data export in standardized formats

Data streams can be integrated with a range of formats and platforms such as OpenTelemetry, Kafka, Parquet, Elastic, Clickhouse, Snowflake, etc.

“The data that SuperNetflow generates is unique in our network - no other platform has this type of high fidelity data. During complex networks investigations, Canopus is able to provide the customer experience perspective that is helping us isolate network issues faster than ever before.”

— Director of Networks, Tier-1 Telecom Operator, Australia

“SuperNetflow is helping my team produce more meaningful and insightful reports and dashboards, and it is now an integral part of our daily operations.”

— CTO of Tier-1 Mobile Operator, Asia

“SuperNetflow has proven be one of the strongest platform we have seen for customer QoE measurement; further, it is built assuming 100% encryption, which reduces our risk of going dark as encryption grows.”

— Senior Network Manager, Tier-1 CSP, North America

“We thoroughly tested the Canopus solution and were impressed by its detailed flow summaries by application type allowing real-time monitoring of individual or aggregated customer experience.”

— Multinational Telecommunications Company, UK

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Highly curated domain-specific Network Data Platform for AI applications.

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