central ai All functions of modern AI models with and 100% without cloud
Centralized AI on-premises – The control center of corporate intelligence
Imagine an AI instance that acts as the brain of your company. It combines all skills and data to make smarter decisions and optimize processes. Unlike numerous decentralized AI solutions in the cloud, centralized AI offers the following advantages:
- Centralized knowledge
- Centralized rights management
- Centralized interface
- AI for Employees
- Knowledge Management
- Virtual Employees
- Process Automation
- Automated communication with:
- Citizens
- Partners
- Customers
- 1st-level support
- Sales tool
- Marketing instrument
central ai All functions of modern AI models with and 100% without cloud
Zentrale KI – Die Schaltzentrale der Unternehmensintelligenz
Stellen Sie sich eine KI-Instanz vor, die als das Gehirn Ihres Unternehmens fungiert. Sie vereint alle Fähigkeiten und Daten, um intelligentere Entscheidungen zu treffen und Prozesse zu optimieren. Im Gegensatz zu zahlreichen dezentralen KI-Lösungen in der Cloud bietet eine zentrale KI folgende Vorteil
- zentrales Wissen
- zentrale Rechteverwaltung
- zentrale Oberfläche
Mitarbeiter
- Kunden
We create your private ChatGPT alternative on-premises
AIUI – We make AI solutions simple.
Want to use ChatGPT easily without the cloud and with sensitive data? AIUI brings the full functionality of a chatbot on-premises to your own IT environment. You retain full control over your data at all times.
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Feel free to contact us to discuss your needs.
100% On-Premises
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Advantages of central AI
Security
A centralized AI without a cloud on-premises can be better protected than numerous decentralized solutions. The data is yours alone, and no one else has access to it.
Holistic Understanding
By accessing all company data, the central AI develops a comprehensive understanding of business processes. This enables it to recognize more complex relationships and make more precise predictions.
Efficiency
Managing a central AI is generally more efficient than managing many smaller instances, saving time and resources.
Synergistic Effects
Different AI models can interact and learn from each other within a central instance. This creates synergistic effects that significantly increase the performance of the entire AI system.
Scalability
A centralized AI can easily scale to meet growing demands. New features and data can be easily added without impacting the existing infrastructure.
Consistency
A unified AI platform ensures consistent data quality and interpretation across the entire organization. This is especially important for decision-making at all levels.
individual Chat Assistant
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Advantages on-premises
Internal company use
Within the company, AIVA provides valuable support to employees. Its diverse skills span a variety of areas, assisting with various processes, storing knowledge, and answering questions. Furthermore, it contributes to expanding the company’s knowledge base by analyzing data and synthesizing information to enable informed decision-making.
External assignment
Externally, AIVA can act as Level 0 support and a vital interface between your company and customers. In this role, it acts as the first point of contact for customer inquiries and issues. With its ability to quickly and accurately answer frequently asked questions, it helps reduce the burden on customer support and ensures immediate response to customer needs.
This reduces the time your customers spend waiting for a human response, improving the customer experience and satisfaction.
Data security & data sovereignty
AIVA is an on-premises solution. It offers the highest level of data security by allowing you to store and process your sensitive data and information locally, i.e., on your own internal servers and infrastructure. Not a single byte leaves your company unchecked.
Allrounder
AIVA is continuously evolving and being enhanced with numerous additional capabilities. This dynamic approach gives you and your employees access to the latest AI innovations without having to abandon internal knowledge in the cloud. This approach increases productivity and competitiveness across a wide range of business areas – all within a single, integrated system.
On-Premise AI Solution: A Comprehensive Explanation
In the age of digitalization, artificial intelligence (AI) is playing an increasingly important role in companies. This often raises the question of whether AI solutions should be run in the cloud or on-premises. This article focuses on on-premises AI solutions, highlights the differences from cloud applications, and highlights the advantages of this technology.
What does on-premise AI mean?
On-premise AI refers to the installation and operation of AI software and hardware within a company’s own IT infrastructure. Unlike cloud-based AI solutions, where data and applications are stored and processed on external providers’ servers, with on-premise AI, all components remain within the company.
Differences to cloud applications
The main difference between on-premises AI and cloud AI lies in the nature of deployment and access. While cloud applications are accessed via the internet and run on external servers, on-premises solutions are installed locally and require their own IT infrastructure. This has both security and economic implications.
Advantages of on-premise AI solutions
- Data protection and control: With on-premise AI, companies retain full control over their data. Since the data does not need to be transferred to external servers, the risk of data leaks and unauthorized access is minimized. This is particularly important for companies that process sensitive data, such as those in the healthcare or financial sectors.
- Performance and latency: On-premise AI solutions can offer higher performance and lower latency because the data is processed locally. This is crucial for applications that require real-time interactions, such as autonomous vehicles or industrial automation systems.
- Independence from external providers: With on-premise AI, companies are independent of external cloud providers and their service availability. This enables greater flexibility and control over their own AI applications.
- Customization options: On-premise AI solutions can be individually adapted to the specific needs and requirements of the company. This enables optimal integration into existing systems and processes.