AI-Native Observability & Orchestration Intelligence
Non-inline • Operator-aligned • Accelerated edge infrastructure ready
The AI-RAN Alliance is a global industry initiative focused on the evolution of AI-native telecom infrastructure, accelerated edge computing, and programmable network architectures.
Collaborative approaches to integrating machine learning directly into network control and resource allocation workflows.
Leveraging distributed, hardware-accelerated environments to process telemetry and inference at the network edge.
Building programmable, telemetry-rich infrastructure that provides deep visibility into encrypted and dynamic network states.
Osigak Technologies participates within this evolving ecosystem through ongoing work around encrypted traffic observability, orchestration telemetry, and behavioral intelligence systems.
EdgeNqoba is designed as an AI-native observability and orchestration intelligence platform intended for modern encrypted telecom environments.
Deep visibility into application behavior and session states without requiring payload decryption or inline interception.
Generating rich, contextual metadata streams that inform AI-driven orchestration and resource optimization models.
Maintaining intelligent tracking of subscriber sessions across complex mobility events and network handovers.
EdgeNqoba is designed as a non-inline observability and orchestration intelligence layer operating alongside existing telecom infrastructure.
By operating as a mirrored, non-inline probe, EdgeNqoba ensures that live user-plane traffic is never interrupted, dropped, or delayed by the intelligence platform.
Operator policy, routing, lawful intercept, and network control systems remain fully authoritative at all times. EdgeNqoba enriches the environment; it does not override it.
The deployment philosophy is intentionally designed to minimize operational risk while supporting controlled evaluation, structured pilot engagements, and infrastructure-aligned integration models. This allows operators to validate AI-native observability in production-adjacent environments with absolute confidence.
AI-native telecom environments require deterministic, low-latency telemetry processing. EdgeNqoba is engineered to support accelerated workflows within modern edge-compute environments.
Sub-10ms pipeline execution ensures telemetry is available for real-time orchestration decisions.
Scalable architectures designed to deploy across multiple edge nodes and aggregation hubs.
APIs and telemetry outputs designed to feed directly into existing OSS/BSS and AI orchestration engines.
Hardware-aware feature extraction that minimizes data-plane overhead while maximizing intelligence yield.
Osigak Technologies actively engages with global and regional industry bodies to shape the future of AI-native telecommunications and wireless access infrastructure.
Active member contributing to the evolution of AI-native RAN architectures and accelerated edge intelligence.
Industry memberships and ecosystem participation reflect engagement with relevant industry bodies and communities and do not imply endorsement by those organizations or their members.
Recognized by the global AI-RAN Alliance for our contributions to AI-native RAN performance standards (ITU-T Y.3172), sovereign edge computing frameworks, and zero-payload behavioural intelligence.
Read the Official Spotlight →EdgeNqoba is currently progressing controlled operational evaluation and infrastructure validation activities with selected ecosystem, operator, and research-aligned stakeholders. Organizations interested in AI-native observability and encrypted mobile infrastructure evaluation may engage with us regarding structured pilot and POC discussions.