A: Our products and services support the planning, deployment, and expansion of 5G networks by telecom operators. We have experience in the radio access network (RAN) planning, use of the spectrum, SDN/NFV integration, and edge computing enablement. In addition to the physical infrastructure, we also pay attention to automation, orchestration, and OSS/BSS transformation so that the provisioning process can be much faster and the service delivery is smooth. Operators can use our predictive analytics and network optimisation solutions to achieve rollout times of up to 40%, enhance service reliability and open up new revenue sources through IoT, AR/VR, and ultra-low-latency applications.

A: Yes. We recognise that telecom operators typically work in challenging hybrid environments with a legacy infrastructure alongside next-gen platforms. We have solutions that are interoperable and backwards compatible. Our open APIs, industry-standard protocols, and middleware integration layers allow us to provide easy connectivity between legacy switches, billing systems, and customer management platforms and cloud native architectures. This will allow you to upgrade at a pace that is more flexible, secure current investments, and simultaneously attain the agility of next-gen services.

A: Telecom networks are an essential national infrastructure, and therefore, security and compliance are not negotiable. Our solutions are based on a zero-trust security architecture and include such features as end-to-end encryption, identity and access control, intrusion detection, anomaly surveillance, and automatic compliance reporting. We are in accordance with international and regional requirements like ITU, ETSI, GDPR, and local telecom regulatory requirements, which allow operators to maintain a lead over audits and reduce risk. We also offer 24/7 threat monitoring and incident response, so customer data, network activity and business continuity are never at risk.

A: Artificial intelligence is one of the pillars of our telecommunication innovation. The issues we are solving using machine learning and predictive analytics include congestion of the network, predictive maintenance, churn, and real-time anomaly detection. An example would be using AI algorithms to predict traffic surges and automatically scale capacity to avoid outages. Likewise, artificial intelligence can be used to provide individualised customer experiences, including automatic service improvement or troubleshooting recommendations. The outcome is fewer operational expenses, less downtime and more satisfied customers, all driven by smart, self-educating networks.

A: WAbsolutely. Our services are cloud native, modular and multi-tenant, i.e. they can be scaled to the requirements of either a regional operator with thousands of endpoints or a global telecom with millions of users operating across a range of geographies. We create architectures that facilitate multi-site deployments, distributed edge computing and smooth extensions of OSS/BSS services. Scalability is more than volume--it is also agility. Our platforms enable operators to roll new services out in a short time and respond to regulatory changes and to enter new markets without interrupting current operations.