Let your network take care of itself.

Automation is critical to digital transformation, yet orchestrating automated workflows, provisioning, management, testing, maintenance, and operation of the network, its devices, and services can be a daunting process specially for complex network domains. with the integration of AI and closed loop automation, not only we can reduce human intervention and make network more efficient, but also achieve greater flexibility and scalability while simplifying services and operations and bring the cost significantly down.

core-function

core-fx is an intelligent automation solution for network infrastructure configuration, management and optimization.

End-to-End (E2E) network service and management automation

The E2E network service automation involves automating the entire network service lifecycle. This includes service design, service activation, and service assurance. With E2E network service automation, service providers can reduce the time it takes to activate services, reduce the number of errors, and improve service quality.

Self Managed. Self-Healed. 100% Automated with No Human Intervention

Automated network management systems can help reduce the need for human intervention in network operations. With self-managed networks, devices can be configured to automatically monitor and optimize their own performance, reducing the need for manual intervention. Self-healing networks can detect and respond to network faults or failures automatically, without the need for human intervention. This can help reduce downtime and improve network reliability.

digitally transform the present enterprise architecture by rebuilding or updating to be effective in the upcoming or present modern environments.

business Intelligence

Business intelligence applications can benefit from low-code automation. With low-code automation, developers can create applications more quickly and efficiently, reducing the need for manual coding. This can help organizations improve their business intelligence capabilities and gain insights into their operations more quickly. Additionally, low-code automation can help reduce costs and improve efficiency, enabling organizations to scale their business intelligence capabilities more easily.

Application modernization

The existing enterprise application portfolio and legacy systems are most mission-critical from both a financial and operational standpoint. In order to truly transform a business into a modern enterprise, and to realize the advantage of newer software platforms, tools, architectures, libraries and frameworks, that is more agile, elastic, and highly available, these legacy applications, features, infrastructure, environment and platform need to be updated and rebuild and go through a new software lifecycle. AI powered intelligent process automation can modernize the architecture and help businesses become more agile and efficient. --

Edge AI Applications

Edge AI combines edge computing with artificial intelligence (AI), by running the AI algorithms on local devices such as IoTs with edge computing capacity, and processing and analyzing user data locally and in real time. By bringing the AI processes to the edge enables users to save time by aggregating data and serving users, without communicating with other physical locations and ensuring security. AI-powered edge applications can help businesses such as healthcare, autonomous vehicles, connected systems / devices etc target and achieve higher productivity, accuracy, and protection. by providing appropriate solution to collect, process, and easily access the data for their end-users.

We prioritize sustainability

As we continue to advance technologically, it is important to prioritize sustainability and consider its impact on the environment in all aspects of automation. the integration of sustainability considerations into the design and implementation of automation systems can help to create more sustainable and environmentally friendly practices in various industries and thus building better products and solutions. We firmly believe that sustainability is the innovation frontier and becoming environment-friendly would result in generating additional revenues thus enabling organizations to grow.

Why is network automation needed?

Network automation is the process of automating the configuration, management, testing, deployment, and operations of physical and virtual devices within a network. Automation is needed in network operations to simplify and enhance the management of networks, to reduce human error, to increase the speed and efficiency of network changes, and to reduce the overall costs associated with network operations. In today's world of complex networks, automation is essential to ensure that networks are reliable, scalable, and secure.

At what network level can network automation be applied.

Network automation can be applied at any level in the network. It can be applied to the configuration, management, testing, deployment, and operations of physical and virtual devices within a network. By automating these tasks, network administrators can simplify and enhance the management of networks, reduce human error, increase the speed and efficiency of network changes, and reduce the overall costs associated with network operations. In today's world of complex networks, automation is essential to ensure that networks are reliable, scalable, and secure.

Is your platform industry agnostic?

Yes. One of the key advantages of our solution is that it is industry agnostic. This means that it can be applied to a wide range of industries, from manufacturing to healthcare to finance. In manufacturing, for example, automation can be used to streamline processes such as assembly lines, while in healthcare it can be used to monitor patients and collect data.

Are edge-applications B2B or B2C?

both.

How do you insert AI in to network automation?

Artificial intelligence (AI) can be integrated into network automation to enhance its capabilities and provide additional benefits. Here are some steps to insert AI in the network automation: 1. **Identify the use case:** The first step is to identify the use case that requires AI. It could be network optimization, security, or anomaly detection. 2. **Collect data:** Collect the relevant data required for the use case. For example, if the use case is network optimization, then collect network traffic data. 3. **Train the model:** Use the collected data to train the AI model. There are several machine learning algorithms to choose from, such as supervised, unsupervised, and reinforcement learning. 4. **Integrate with network automation:** Integrate the trained AI model with the network automation tool. This can be done by using APIs, plugins, or custom code. 5. **Test and refine:** Test the AI model with the network automation tool and refine it until it provides the desired results. 6. **Monitor and maintain:** Monitor the AI model's performance and maintain it regularly. By following these steps, you can successfully insert AI in network automation and benefit from its enhanced capabilities.

What is edge-computing?

5G networks enable edge computing, which is the processing of data near the source of data generation. AI can be integrated into edge computing to analyze and process the data in real-time.

How do you support 5G?

With the increasing demand for high-speed data and low latency, 5G networks require a high level of automation in order to function effectively. This includes automating tasks such as network slicing, network function virtualization, and service function chaining. By automating these tasks, 5G networks can operate with greater efficiency and reduced downtime, leading to improved user experiences and increased revenue for network operators.

add intelligence to your network.

“transform your network infrastructure with AI-powered automation workflows bringing it one-step closer to Zero-Touch.”

Let your network take care of itself.

Smarter. Faster. Simpler.

What we offer.

Intelligent Network

intelligent applications & Services

Core-function is "network made smarter.”