Based on Enterprise-Grade Servers

Experience reliable, enterprise-grade servers.

NVIDIA-Equipped: 

Powered by state-of-the-art NVIDIA GPU cards.

AI Task Performance: 

Excels in AI tasks such as code generation, natural language processing, summarization, language translation, and data analysis.

Seamless Deployment:

Deploys seamlessly out of the box with minimal infrastructure constraints to feel right at home in your existing setup.

OpenAI Compatibility: 

Fully compatible with OpenAI API calls for AI-driven LLM applications.

Key Benefits

With our LLM-In-A-Box, you can unlock the power of advanced LLM’s within your organization, while maintaining the highest standards of data security and sovereignty.

Maintain Data 

Sovereignty

Retain full control and ownership of your data and language models.

Private and 

Secure

Ensure data privacy and compliance with regulatory requirements.

Boost 

Efficiency

Accelerate your AI-driven initiatives without infrastructure constraints.

Access 

Advanced AI

Leverage cutting-edge LLM capabilities on-premises.

Optimize 

Expenses

Reduce costs and overhead associated with cloud-based solutions.

Enhance 

Compatibility

Seamlessly integrate with your existing technology stack.

Ease of Use

  • Plug-and-Play: 

    Experience seamless setup and integration with your existing systems.


  • Installation of applications on client demand:

    Take advantage of models and templates, ready for immediate use after initial setup and installation of application on client demand.

Integration and Compatibility

  • API Integration: 

    Deploy and use LLM models effortlessly with support for popular APIs and interfaces, including seamless integration with enterprise existing systems like Active Directory.

 

  • Pipeline Design: 

    Maintain clarity of inputs, outputs, and operations performed at each stage for clear and efficient processing. 


  • Free Choice of Models: 

    Support all popular LLM models – including DeepSeek, Llama 3.1, GLM-4, Mistral, Pixtral, Qwen, and more – offering best-of-breed solutions for your specific use case.

Management and Monitoring

  • Comprehensive Management: 

    Leverage built-in management and monitoring tools for simple and transparent LLM operations. 


  • Service Support: 

    Access professional service support both before and after deployment to ensure optimal performance and hassle-free troubleshooting.

Security and Privacy

  • Secure and Safe: 

    On-premises deployment enables maximum privacy and control of your organization’s data.  

Cost-efficiency

  • Budget Friendly: 

    A one-time purchase investment provides your organization with a peace of mind and avoids unexpected usage bills.

Scalability

  • Grow with Your Needs:

    Achieve scalable performance to manage growing workloads through horizontal scaling, simply adding multiple servers to an existing pool of machines as demands increase.

Professional Support Service

Every LLM-In-A-Box comes bundled with 1-year of Standard Professional Support, with options to expand services to include LLM upgrade support and extend coverage for 1-year, 2-year, or 3-year durations based on your needs. From onboarding to troubleshooting, our support services are designed to keep your AI infrastructure running smoothly and efficiently.

Reliable operations backed by essential support, including: 

 

  • Onsite Setup:

    Start with seamless system configuration and setup, integrating your choice of LLM effortlessly.

 

  • Onboarding Training:

    Equip your team with a half-day training session for a confident and efficient start.

 

  • Hotline Support:

    Report faults with 8x5 coverage (Monday–Friday during business hours).

 

  • Onsite Troubleshooting:

    Get next-business-day onsite support, including faulty hardware replacement.

Advanced and Premier Packages

Common Use Cases

Conversational AI and chatbots

Automated content generation

Intelligent document processing and analysis

Customer service and support automation

Knowledge management and question answering

Compliance and risk mitigation

Research and development

Successful Reference Cases

Structured Report Automation for a Government Agency 

A government agency adopted multiple deployments of LLM-In-A-Box to streamline and automate structured report writing. The secure on-premises solution leverages historical knowledge bases to ensure data privacy while efficiently transforming information into ready-to-use structured reports. This significantly reduced manual effort, improved accuracy, and further safeguards sensitive data – ideal for modernizing administrative processes.

Medical Notes Structuring at a University Medical Center 

A medical center implemented LLM-In-A-Box to transform free-text notes into structured medical records, integrating seamlessly with existing systems. The secure on-premises setup optimized efficiency and data privacy, enabling doctors to save time, reduce administrative burdens, and focus on patient care without compromising documentation quality – ideal for enhanced efficiency in medical workflows.

Cost-Efficient AI Platform for an Education Institute 

An education institute transitioned from a cloud-based LLM to a tailored, cost-effective on-premises AI platform powered by LLM-In-A-Box. This transition lowered operational costs while equipping students with state-of-the-art tools to accelerate their learning in AI – perfect for institutions wanting to prioritize accessible, affordable education.

AI Assistant for a Financial Institution’s Frontline Support Teams

A leading bank adopted LLM-In-A-Box to power its AI assistant for frontline sales and operations teams. Leveraging internal documents like procedure manuals, the AI assistant boosted efficiency by streamlining workflows, improving decision-making, and enhancing productivity—all while maintaining robust data security.

FAQ

What is LLM-In-A-Box?

What is the key benefit for this product?

How long does it take to set up?

What is the pricing?

If my data is highly confidential, how can I ensure the AI application is secure?

What is the scalability requirement as the usage grows?

How is your LLM In-a-box solution costing compared with cloud-based solutions such as OpenAI?

How does it integrate with our data system?

Do we need an IT team to support the setup and maintenance?

What happens if there’s an issue with my LLM-In-A-Box?

Can I upgrade my support package later if my business needs change?

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