Sandvine DPI
UnclaimedElevate network observability with AI-driven insights into application behavior, experience, and sentiment.
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TL;DR - Sandvine DPI
- Provides AI-driven, application-aware network observability for behavior, experience, and sentiment.
- Enables granular policy application and traffic management based on deep insights.
- Supports various departments like Marketing, Customer Care, Finance, and Security with actionable data.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Transforms raw network telemetry into decision-grade business insights
- Enables proactive customer care and retention strategies
- Optimizes network resource management and defers CAPEX
- Provides visibility into encrypted application traffic
- Supports multi-access deployments with consistency and flexibility
Cons
- Requires integration into existing network infrastructure
- Complexity of AI model interpretation may require specialized knowledge
- Specific pricing details are not publicly available
Key Features
Application-aware insights (Behavioral, Experience, Sentiment, Trending)Granular policy application and traffic managementAI model application for predictive outcomes (e.g., churn propensity, capacity forecasting)Hyperscale data plane (ActiveLogic) for next-generation networksMachine learning-powered traffic classification for encrypted internet trafficAccess-agnostic deployment across mobile, fixed, cable, and satelliteRole-based views and guided workflows for business enablementCorrelation of app performance with business context (subscriber, device, tiered plans, location)
Pricing
Paid
Sandvine DPI offers paid plans. Visit their website for current pricing details.
About Sandvine DPI
By Toolradar Team·
AppLogic Networks provides an 'Elevated Observability' platform that moves beyond traditional network monitoring to offer deep, application-aware insights. It identifies applications from network flows, measures app-level performance, and correlates this data with business context such as subscriber, device, tiered plans, and location. By applying AI models, the platform derives behavioral insights (usage, adoption), experience insights (App QoE), sentiment insights (experience-to-satisfaction scoring), and trending insights (baselines, anomalies).
This comprehensive approach enables various departments—including Product, Revenue, Customer Care, and Security—to leverage network data for strategic decision-making. For example, Marketing can identify new premium services, Customer Care can proactively address issues, and Finance can optimize network performance to defer CAPEX. The platform's core, ActiveLogic, offers a hyperscale, automation-ready data plane with machine learning-powered traffic classification, ensuring application visibility even with encrypted internet traffic. It is designed for Communication Service Providers (CSPs), Enterprises, Managed Service Providers (MSPs), and GPUaaS/AI Clouds to optimize network resources, enhance customer experiences, and drive business growth.
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Sandvine DPI FAQ
How does AppLogic Networks' 'Elevated Observability' differ from traditional network monitoring tools?
Elevated Observability goes beyond traditional tools by identifying applications from network flows, measuring app-level performance, and correlating it with business context like subscriber tiers and locations. It then applies AI models to derive behavioral, experience, sentiment, and trending insights, making the data actionable for various business departments, not just operations.
What specific types of insights can Marketing teams derive from the platform's behavioral data?
Marketing teams can use behavioral insights to understand usage, adoption, and engagement patterns. This allows them to identify how clusters of people are using the internet, which can be leveraged to resell information to advertisers or to create new, targeted premium services.
How does ActiveLogic maintain application visibility in an increasingly encrypted internet environment?
ActiveLogic utilizes machine learning to classify traffic, effectively combating the 'darkening of the internet' caused by encryption. This enables service providers to regain crucial application visibility necessary for quality of experience scoring and management, even when traffic is encrypted.
Can AppLogic Networks help in predicting customer churn or network capacity needs?
Yes, the platform's trending insights can be used to create prediction models. By analyzing baselines, shifts, and anomalies in network data, it can accurately create new AI models for predicting outcomes such as customer propensity to churn and future capacity requirements.
Which types of organizations primarily benefit from implementing AppLogic Networks' solutions?
The solutions are designed to benefit Communication Service Providers (CSPs) looking to grow beyond basic connectivity, Enterprises aiming to differentiate experiences and prioritize traffic, Managed Service Providers (MSPs) needing to scale multi-tenant operations, and GPUaaS/AI Clouds requiring predictable management of bursty AI traffic.
What is the role of the 3-layer intelligence stack in achieving Elevated Observability?
The 3-layer intelligence stack comprises Visibility & Enforcement (Layer 1) for seeing and enforcing policy on application experience, Context & Enrichment (Layer 2) for transforming raw telemetry into decision-grade insights, and Business Enablement (Layer 3) which provides role-based views and AI-ready outputs to drive specific business actions across different departments.
Source: sandvine.com