Canopus Networks provides a high-fidelity network intelligence platform that utilizes AI-driven traffic classification and real-time user experience measurement to enhance broadband performance. The technology enables telecom operators to gain actionable insights into network performance and user behavior, reducing operational costs and improving customer satisfaction.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Telecom operators often lack granular visibility into network traffic and user experience due to increasing encryption and the complexity of modern networks. This limited insight hinders proactive network management, makes it difficult to optimize resource allocation, and impacts customer satisfaction. Traditional hardware-based probes are expensive to deploy and maintain, creating a barrier to comprehensive network intelligence.
Solution
Canopus Networks offers a network intelligence platform that uses AI-powered traffic classification and real-time user experience measurement to provide enhanced visibility into broadband networks. The platform analyzes encrypted traffic to deliver fine-grained insights into user behavior and application performance, enabling operators to proactively identify and resolve network issues. By democratizing access to high-fidelity network intelligence, Canopus helps break down data silos, improve customer experience, and reduce operational costs. The solution supports various network types, including broadband, mobile, satellite, enterprise, private, and military networks, and can be deployed in bare-metal, virtualized, and cloud-native environments.
Target Audience
The primary target audience includes telecom operators, mobile operators, and managed service providers seeking to enhance network performance, improve customer satisfaction, and reduce operational costs through AI-driven network intelligence.
Features
- AI-powered traffic classification for accurate visibility into user experience measures across a wide range of applications.
- Real-time data export in standardized formats such as OpenTelemetry, Kafka, Parquet, Elastic, Clickhouse, and Snowflake.
- Highly performant and scalable packet processing using eBPF for high throughputs per core while maintaining full accuracy.
- Support for physical or virtual tap/mirror user-plane traffic from BRAS/BNG and SGW/PGW links and network elements.
- Subsecond QoE measurements for proactive network management and issue resolution.
- Future-proof elastic architecture that scales with network demands.
- AI-ready, structured data streams for effective analytics and quicker business decisions.