Powerful AI, Zero Data Risk: Secure, Private, and In-House

In an era where AI is revolutionising industries, many companies face a critical dilemma: how to leverage the power of AI without compromising data sovereignty.

 

There is a solution: self-hosted AI

 

Business Challenge

Ensuring AI-Driven Insights While Maintaining Data Sovereignty.

 

Traditional cloud-based AI solutions require external data processing, creating security vulnerabilities, compliance concerns, and operational dependencies. Key challenges include:

 

  • Data Security Risks: Cloud-based AI exposes sensitive business data to potential breaches.
  • Regulatory Compliance: Industry regulations demand strict data control and sovereignty.
  • Latency & Performance Issues: Cloud reliance can cause delays, limiting real-time decision-making.
  • Operational Independence: Dependence on third-party AI platforms means businesses risk uptime and access limitations.
 

AI Solution Implemented

Qleva’s Standalone AI PCs – A Secure, Closed-Circuit Solution

 

To address these challenges, Qleva has already deployed standalone AI PCs that enable fully private, high-performance AI processing. These systems provide complete control over data while delivering real-time insights, making them ideal for organisations prioritising data sovereignty.

 

What Qleva Can Do Today

 

  • Proof of Concept Using Test Data: Qleva can quickly deploy standalone AI PCs for businesses to test AI capabilities on their own data securely.
  • Tailored AI Models: We fine-tune embedding models and LLMs for specific industries—such as financial reporting—to generate highly relevant insights.

 

What’s Coming Soon

 

Qleva is preparing for the release of specially designed AI computers that will make deploying in-house AI even easier and more cost-effective. These advancements will further reduce setup costs and enhance AI performance.

 

Key Features of Qleva’s Solution

 

  • On-Premises AI Processing: Eliminates reliance on cloud providers, ensuring enterprise-grade AI workloads stay secure.
  • Secure Closed Network: Enables browser-based access while keeping all data within a controlled, isolated environment.
  • Fine-Tuned AI Models: Supports local deployment of LLMs optimised for financial analysis, compliance, automation, and other industry-specific needs.
  • Real-Time Insights: High-speed processing for low-latency, real-time data analysis.
  • Confidential Computing: Encrypts data at rest and in use, ensuring compliance with industry regulations.

 

Implementation Process

Structured Deployment for Maximum Security & Efficiency

 

  • Infrastructure Setup: Deploy standalone AI PCs with a secure, closed-circuit configuration.
  • Data Integration & Model Training: Migrate datasets and fine-tune AI models for business-specific use cases.
  • User Access Configuration: Set up browser-based access with role-based security controls.
  • Performance Testing & Optimisation: Conduct system stress tests and continuous AI model refinements.
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Results & Business Impact

Transforming AI Utilisation While Maintaining Control

 

Qleva’s standalone AI solution has already demonstrated significant business value:

 

  • 100% Data Security: Full control over AI processing with zero exposure risks.
  • Regulatory Compliance: Meets stringent data sovereignty and security requirements.
  • Operational Independence: Eliminates third-party AI dependencies.
  • High-Speed Processing: Real-time analytics without latency issues.
  • Cost Efficiency: Reduces AI operational costs by up to 40% by eliminating ongoing cloud expenses.

Conclusion

Future-Proof AI: Secure, Efficient, and Cost-Effective

 

Qleva empowers businesses to securely leverage AI today while preparing them for the future. With standalone AI PCs already in use and next-generation AI computers on the way, we provide a clear, scalable path to secure, high-performance AI adoption.

 

Get started with a proof of concept today and see how Qleva can tailor AI solutions to your specific needs.

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