Why 31C’s Ground-Up Solution Is Essential for Today’s Encrypted, Complex Applications
When we founded 31C, we recognized that legacy monitoring tools were no longer sufficient. Modern applications – from video calls and streaming to background syncs and IoT communication – generate massive, diverse traffic, much of it now encrypted. Traditional DPI or probe-based approaches struggle to see through this encryption, leaving critical blind spots that hinder both troubleshooting and optimization.
That’s why 31C was built from the ground up, leveraging modern architecture and advanced AI/ML at its core. Here’s what sets us apart – and why it matters:
Visibility Without Decryption
The challenge: As traffic encryption increases, traditional methods lose sight of what’s really happening, resulting in slower issue resolution and missed optimization opportunities.
Our solution: 31C uses machine learning models trained on flow-level features (such as packet timing, size, and metadata) to classify over 95% of traffic by app or category – all without decryption, preserving privacy while restoring essential visibility.
Real-Time, Scalable Insights
The challenge: Legacy systems often batch-process data or can’t scale, delaying insights when they’re most needed.
Our solution: 31C analyzes millions of flows per second in real time, providing instant, granular visibility at the user, app, and network slice level – so you spot issues and opportunities as they arise.
Contextual Understanding
The challenge: Knowing an app is “slow” isn’t actionable enough – you need to know where and why, whether by device type, network (4G/5G/Wi-Fi), or subscriber status.
Our solution: We enrich traffic classification with contextual data-device, location, network slice, subscription tier-giving you the insights to pinpoint root causes and drive targeted improvements.
Future-Ready Adaptability
The challenge: New apps and encryption schemes surface constantly, while hard-coded rules fall behind.
Our solution: Our modular ML pipelines continuously retrain on emerging patterns, keeping classification accuracy high. A microservices-based architecture allows rapid integration of new analytics and data sources – no need to rebuild from scratch.
Actionable Workflows for Every Team
The challenge: Insights alone aren’t enough if teams can’t respond quickly. Engineering, product, and support all require tailored views.
Our solution: 31C provides role-specific dashboards and guided workflows. Network teams track capacity trends, product teams monitor feature adoption, and support sees session-level details for rapid troubleshooting. Automated alerts and policy adjustments turn insights directly into action.
Superior User Experiences & Outcomes
The challenge: Poor app performance frustrates users, hurts retention, and damages your reputation.
Our solution: 31C maintains visibility through encryption and delivers real-time, context-rich insights to ensure high-quality experiences—whether prioritizing video traffic at peak times or proactively identifying issues. Happier users mean improved retention and fewer support tickets.
The Bottom Line:
Legacy visibility tools can no longer keep up with today’s encrypted, complex application traffic. By rebuilding the solution from the ground up with AI/ML-driven classification and contextual analytics, 31C provides deep, real-time visibility at scale, empowering teams to optimize performance and user experience—now and as technology evolves.
Ready to experience seamless app visibility and control — no matter how encrypted your network gets?
