Simnovus is an Indian startup, building efficient UE simulators for 5G networks. Based on software-defined radio (SDR) technology, the startup allows transforming traditional x86 hardware into a UE simulator. This agile and cost-effective solution is suitable for testing telecommunication equipment and developers of such equipment. The UE simulator provides testing with realistic patterns of traffic for different network technologies, extensive logging, and elaborate statistics. Further, the simulator’s licencing supports up to 1000 devices.
Artificial intelligence (AI) and machine learning (ML) are other big telecom trends impacting the industry. Digital transformation requires the extraction of meaningful information from data, gathered by IoT sensors and devices. At the same time, the expansion and complication of the internet create the need for high speeds and low latencies, prompting new solutions for internet connection management. To this end, startups develop AI solutions that resolve numerous problems related to network performance.
Netop develops Autonomous solutions for Critical Networks
NetOp is a startup from Israel, creating a critical network health utility tool using proprietary machine learning algorithms. The solution automatically analyzes the network, searching for any vulnerabilities. Using AI-powered advanced automation, NetOp proactively predicts and remediates network issues as they arise, which is beneficial for businesses wanting to improve their security and reduce operating costs.
IoT/AI creates an Advanced Sensor Platform
The US-based startup IoT/AI offers an IoT platform that combines network connectivity, cybersecurity, and analytics operating in Edge networks. The platform analyzes the data from the mesh network locally using ML algorithms. In addition to military-grade cybersecurity, IoT/AI’s sensor platform is suitable for the industrial, healthcare, defense, energy industries.
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