Sovereign AI for the enterprise

Your data
Your environment
Our AI

Maintaining Safety, Transparency, Independence and Responsibility

AI Security

To

  • increase security
  • maximize quality
  • ensure transparancy

Using your proprietary data and documents on our scalable AI software platform deployed on European Cloud providers

AI Knowledge

To

jointly engineer your organization’s knowledge into AI Prompting, Agents and Playbooks.

Converting the knowledge currently embedded in your data, software and documents into AI

AI User Involvement

To

offer user friendly AI functionality with our Chatbots, word processor, spreadsheet Add-ins or Web Apps.

Embedding AI funcitonality in the custom software applications and processes of the organization.

Spar on AI Strategy

To

learn about your and our experience in introducing AI in organizations.

With a focus on management aspects of applying AI; security, privacy, technical dependencies, costs and user adoption.

Safety ensured Data owned Prompting perfected AI aligned

AI Security, Safety and Privacy

Where and how is proprietary data processed and stored?

RAG allows the LLM to use your proprietary documents or databases instead of public data. Much improved responses due to more accurate and up-to-date data, reduced risk of hallucinations.

The downside of using RAG is that proprietary documents and databases are processed by AI-provider. This Introduces security risks for leakage of sensitive data or identifiable information. Professional organizations with priority on security and privacy prefer to store proprietary documents and data on their own infrastructure or store them with a hosting partner preferable under EU regulations.

Laiyertech provides a dedicated and secure AI Software Platform:

  • deployed on one of the most professional cloud provider in Europe
  • with an architecture to achieve a high level of security and privacy
  • Includes RAG and Agentic without the security disadvantages
RAG

AI Transparency

Transparency is essential for building trust in AI. Employees, management and clients should be engaged in the openness of the AI application. Avoid a black-box AI application by disclosing all prompting, offer insight in the usage and demand open source from all suppliers.

Extract prompting: The functionality of the AI application is driven by the prompts send to the LLM. Often these prompts are embedded and hidden in the application. That way users and management have no clear insight in what and how requests to an LLM are made. The Laiyertech Software Platform facilitates prompt management separated from the AI application coding.

Audit logging: Monitoring gives insight in the usage and effectiveness of the AI application. Audit logging ensures that all details of users, queries and responses communicated with the LMM are securely stored. This gives full transparency in the way the AI was applied.

Open source: Software components that offer insight in the source code contribute a lot to full transparency. This avoids AI black boxes and ensures that the functioning can independently be evaluated. Laiyertech offers insight in all source codes of the AI Software Platform.

RAG

Independence

AI technology is advancing at an extraordinary pace. New versions of LLMs are continually entering the market, offering new and improved capabilities. AI software tools are continuously adapting to these developments while also expanding their own functionality. In such a rapidly evolving landscape of AI technologies and tools, it is crucial to make informed choice

What is considered state-of-the-art today can be surpassed within weeks or months by superior products

One significant risk in a rapidly evolving market is becoming overly dependent on a single vendor (vendor lock-in). Such dependency can hinder technical growth. The Laiyertech AI Software Platform has been designed to create minimal dependency on AI technology vendors and facilitates easy switching to another vendor or technology

RAG

AI Responsibility

Responsible AI is an approach to developing, deploying, and using AI systems that align with ethical principles and societal values. Essentially, responsible AI aims to create AI solutions that are technically proficient, socially beneficial,and ethically sound. This approach ensures that AI systems enhance human capabilities and decision-making processes ratherthan entirely replacing human judgment The Laiyertech AI Software architecture facilitates the development and offers the flexibility to maintain responsible AI applications.

RAG

Why choose Laiyertech

Future proof

  • Services Architecture
  • Vendor-agnostic platform
  • Open Source

Focus on security

  • Self-hosting optional
  • Professional EU Cloud Provider
  • GDRP Compliant

Expert Implementation

  • Independent from LLM Vendors
  • Kubernetes Deployment
  • Dedicated Support

Tailored to your needs

Our team works closely with you to develop custom AI solutions that evolve with your business and the rapidly changing AI landscape.