Do you want powerful artificial intelligence that knows everything about your business – without sharing your data with the cloud gods? webAI promises just that.
Artificial Intelligence Today is no longer just a futuristic idea, but a key tool that companies use to accelerate analysis, automate repetitive tasks, and improve productivity. But most modern AI service runs in the cloud, while webAI runs right in your company – meaning that companies not only pay for access to their data, but often share it with large technology corporations.
webAI has a different vision. Instead of artificial intelligence living on remote servers, they deliver a solution that runs AI models locally, directly on devices within the company. This gives companies faster data processing, lower costs, and complete control over information.
Traditional AI in the cloud It works according to a simple logic: the company sends data to a cloud server, where it AI processes it, then sends the results back. This process is slow, expensive, and poses a risk to data security. webAI, however, takes a completely different approach. Instead of relying on external providers, AI processing is performed directly on the company's existing devices. These can be local servers, powerful workstations, or specialized AI accelerators. The key advantage of this system is that the company does not need an external cloud to operate the AI, as the data and processing are completely under their control.
Companion – your employee’s intelligent AI assistant
One of the most interesting elements webAI is a Companion, intelligent AI assistant, which helps employees with everyday tasks. Instead of a generic AI chatbot that often doesn't understand the business context, Companion offers personalized AI support that actually improves work processes. It enables fast information search in large databases, automatic summarization of documents such as contracts and financial reports, and intelligent support for sales, marketing, and support teams.
Navigator – fast branching of your own AI
Another key element of the system is Navigator, which allows companies to customize and optimize their AI models. Instead of relying on generic cloud models, companies can use Navigator to train and optimize their own AI solutions. For example, financial institutions can customize AI to analyze market trends, healthcare institutions can process medical data, and manufacturing companies can optimize their supply chain.
Who is this system most important for?! Is your company a future customer?
Companies that use webAI, are no longer dependent on external AI providers, as they can run all processes on their existing infrastructure. This means that they run AI models on their own servers, instead of paying expensively to an external provider for each data processing. In this way, tasks are intelligently redistributed across the network, so that the AI always runs on the device that is most optimal at that moment. If one server is unavailable, the task is transferred to another device, ensuring the reliability and efficiency of the system.
One of the biggest advantages of this approach is data privacy. In classic AI solutions In the cloud, companies do not have complete control over what happens to their data. They are often forced to accept unclear terms of use where their data can also be used to improve the models of a third-party provider. webAI solves this problem by ensuring that all data remains within the company and never leaves its infrastructure. This is especially important in industries where data security is critical, such as finance, healthcare, government institutions and manufacturing companies.
In practice, this means that webAI enables all the benefits of artificial intelligence – from rapid data analysis to intelligent automation – but without compromising on privacy, speed and cost. Traditional cloud AI solutions often come with high monthly subscription fees that quickly increase depending on the amount of usage. webAI, on the other hand, allows AI to run on existing devices, meaning that the company has no additional costs for cloud services.
In addition to lower costs and greater security, webAI also allows companies to be more flexible. Most cloud AI services use universal models that are designed to work for a wide range of users. This means that they are often not optimal for the specific business processes of an individual company. However, webAI allows you to customize models to match the needs of the company exactly, which brings greater efficiency and accuracy of results.
Many industries are already showing that the future of AI lies in on-premises solutions, not in the cloud. Financial institutions are using webAI for faster and safer data analysis, healthcare organizations to process medical records without sharing with external providers, and government agencies to ensure security and control over data processing. In industry and logistics, webAI enables optimization of production and supply chains without unnecessary waiting for data processing in the cloud.
While cloud-based AI services are still dominant, more and more companies are realizing their limitations. Slower performance due to data transfer, high subscription costs, and privacy concerns are the main reasons why companies are turning to alternatives like webAI. Instead of being a service that companies pay for monthly, AI is becoming an internal part of the infrastructure that gives companies full control over their operations.
webAI is bringing a true revolution in business artificial intelligence. It allows companies to use AI without compromise, without unnecessary costs and without worrying about data security. Although cloud solutions have dominated the market in recent years, it seems that the future of artificial intelligence is where the data is - in the enterprise, not in the cloud.
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