Behavioural Intelligence for Encrypted Mobile Traffic
Unlock network ROI, optimize capacity, and ensure sovereign visibility without decrypting a single byte. Carrier-grade AI analytics for MNOs, MVNOs, and Regulators.
A Division of Osigak Technologies
Osigak Technologies is officially featured in the AI-RAN Alliance Member Spotlight.
Read the Spotlight →EdgeNqoba delivers AI-native behavioural intelligence across mission-critical communications environments where visibility, resilience, and security are non-negotiable.
Core network observability and encrypted traffic analytics for MNOs.
Private 5G and IoT security for heavy industry and critical grids.
Connected mobility and municipal infrastructure monitoring.
How we achieve 97% classification accuracy without compromising subscriber privacy or requiring decryption keys.
We intercept GTP-U outer headers before decapsulation, tracking TEIDs across handovers. We ingest zero payload, capturing only packet timing, flow symmetry, and structural metadata.
Our hardware-accelerated behavioural physics engine extracts over 30 unique metadata signatures at the network edge, classifying encrypted traffic with sub-10ms latency.
Operators receive ETSI-compliant LI records, capacity insights, and QoE metrics. The core mathematical models remain protected IP, ensuring zero bytes of payload are ever accessed.
Modern mobile networks evolve constantly — application behaviour shifts, protocols update, and traffic patterns change in real time.
EdgeNqoba continuously adapts to evolving network conditions using advanced AI-driven behavioural modelling. Instead of relying on static signatures, the platform dynamically learns traffic behaviour patterns as they change.
From OTT application updates to 5G slicing requirements and roaming variability, EdgeNqoba maintains high classification accuracy without manual reconfiguration or model retraining cycles.
A controlled adaptation framework ensures that all behavioural updates are applied safely, maintaining carrier-grade stability, zero packet loss, and deterministic performance at all times.
As networks evolve toward 5G Advanced, AI-RAN, and satellite-terrestrial fusion, EdgeNqoba is designed to remain accurate, resilient, and operational without requiring constant redevelopment.
EdgeNqoba has completed formal technical validation by the Council for Scientific and Industrial Research (CSIR) – South Africa's national research and development organisation, proving carrier-grade performance in live environments.
Full CSIR validation report and technical briefing available for qualified operators and regulators.
Request Validation Report →EdgeNqoba is actively structuring its field validation framework with leading global experts in QoS/QoE, ETSI, and ITU standardization, including Dr. Wolfgang Balzer (QoS Consulting).
Developing comprehensive testing concepts, including traditional drive testing for seamless handover validation and high-load latency testing aligned with G.1051 standards.
Executing structured test runs to empirically prove that edge-native processing significantly reduces core network load without degrading end-user latency.
Comprehensive data processing and carrier-grade report generation, providing operators with the exact KPIs required for live network integration and commercial rollout.
This methodology is being executed in partnership with Dr. Wolfgang Balzer - QoS Consulting, ensuring that our deployment KPIs align perfectly with how Tier-1 operators and global bodies (ETSI, ITU) evaluate and interpret next-generation edge intelligence systems. Our methodology is designed to showcase edge technology's ability to optimize network topology while maintaining strict, measurable QoE guarantees.
EdgeNqoba is deeply integrated into the global AI-native telecommunications ecosystem, partnering with leading research institutions, channel experts, and infrastructure providers to ensure seamless deployment.
Independent technical validation and ongoing research collaboration in advanced telecommunications environments and sovereign data architectures and has established an ongoing collaboration framework supporting the transition from validation to live network deployment.
Deep alignment with industry-standard lawful intercept (LI) and packet capture infrastructure, enabling complementary deployment models for regulators and MNOs.
Advanced engineering collaboration on ETSI MANO orchestration, 5G core protocol development, and OpenAirInterface (OAI) integration for next-gen edge networking.
Local market execution, regulatory alignment, and stakeholder engagement supporting operator deployments across the Botswana telecommunications sector.
Network solutions integration and operator engagement, facilitating the introduction of EdgeNqoba into live carrier environments across the region.
Active participation in shaping 6G evolution, AI-native RAN performance standards (ITU-T Y.3172), and sovereign edge computing frameworks.
EdgeNqoba is engaged in structured operator evaluations across the SADC corridor. The following engagements are active under mutual NDA and formal evaluation frameworks.
Botswana's national telecommunications operator (4.43M subscribers) is conducting a structured Proof of Value evaluation of EdgeNqoba across network optimisation, backhaul efficiency, and lawful intercept enrichment workstreams.
Teleios Group is engaged as EdgeNqoba's systems integration and operator introduction partner for the Zimbabwe market, supporting structured evaluation deployments across regional carrier environments.
A structured strategic partnership conversation is underway with a South African national mobile operator for EdgeNqoba deployment across their subscriber network. Commercial and technical framework discussions are in progress.
All operator engagements are conducted under mutual NDA. EdgeNqoba is accepting new Proof of Value applications from qualified MNOs, MVNOs, and regulators across the SADC corridor and beyond.
Apply for a Proof of Value Engagement →EdgeNqoba's zero-payload behavioural intelligence extends far beyond traditional network observability. By operating at the GTP-U layer, we create standalone commercial products for operators, regulators, and enterprise markets—turning the encryption blindspot into a strategic business asset.
African operators lose billions annually to SIM swap, IRSF, and Wangiri fraud. EdgeNqoba’s advanced TEID correlation and behavioral anomaly detection identify fraudulent transition signatures and premium-rate patterns at the GTP-U layer in real-time.
◆ Immediate, Quantifiable ROI
Regulators require empirical data to resolve infrastructure cost debates. EdgeNqoba classifies WhatsApp, YouTube, and Netflix traffic at 97.19% accuracy, providing exact bandwidth consumption metrics by hour, cell, and day.
◆ Standalone Regulator Product
5G SA network slicing requires real-time traffic classification to assign flows to the correct slice (eMBB, URLLC, mMTC). EdgeNqoba is the classification engine that makes 5G slicing commercially viable and operationally executable.
◆ 5G Monetization Enabler
Mobile money platforms require guaranteed QoS for transaction success. EdgeNqoba identifies mobile money application traffic specifically, aligning with World Bank/ITU FIGI methodology for digital financial services QoS KPIs.
◆ Transaction Assurance
Operators lack visibility into subscriber experience on partner networks. Deployed at the GSMA IPX layer, EdgeNqoba provides exact roaming QoE metrics and interconnect quality assurance for international traffic.
◆ Global Interconnect Ready
Encrypted VoIP emergency calls cannot be routed with priority today. EdgeNqoba classifies VoIP-over-encrypted-OTT with 97.19% accuracy, enabling life-safety priority routing and fulfilling critical regulatory mandates.
◆ Life-Safety Mandate
As LEO satellite internet integrates with terrestrial 4G/5G at the GTP-U layer, hybrid networks create new blind spots. EdgeNqoba provides unified intelligence at this exact intersection, future-proofing visibility across Africa.
◆ Future-Proofing Infrastructure
Each vertical represents a standalone commercial opportunity with immediate market demand.
Discuss Your Vertical →Contributing to global standards and sharing expertise at premier international telecommunications forums.
May 2026 | Lusaka, Zambia
Presented EdgeNqoba's approach to AI-native observability for encrypted 5G networks at the ITU-T Workshop on Quality of Service and Quality of Experience, contributing to global discussions on sovereign telecommunications infrastructure and AI-RAN integration.
Active participation in shaping the future of telecommunications through:
EdgeNqoba is currently integrating with mobile network operators, MVNOs, and strategic infrastructure partners. Evaluate our architecture, review the CSIR validation data, and explore pilot opportunities.
EdgeNqoba is built on a deep and expanding intellectual property portfolio, protecting its core behavioural modeling framework across multiple industries.
A structured IP portfolio covering behavioural intelligence, encrypted traffic analysis, and system-level applications.
Protection of temporal behavioural modeling and metadata-driven inference systems enabling encrypted traffic understanding.
IP spanning telecom, financial systems, fraud detection, and sovereign infrastructure applications.
Patent details available under NDA for qualified partners and investors.