Custom AI Servers

Fortis Future™ designs and builds custom AI servers which reside securely within your environment, providing a robust infrastructure that aligns with your specific needs. These servers are meticulously crafted to address the diverse requirements of our clients who demand stringent control over the data they own, ensuring that sensitive information remains protected at all times. Additionally, these systems offer you dedicated access to a fully customised instance, equipped with one or many trained AI LLM models tailored to perform a variety of tasks effectively. This comprehensive solution is perfect for air-gapped environments, where security is paramount, and pairs perfectly with our Fortis Assured™ Software solution, which facilitates seamless maintenance, patching, and updates, ensuring that your AI infrastructure remains state-of-the-art and operational at all times. With our commitment to excellence, Fortis Future™ stands as a trusted partner in your journey towards advanced AI integration, empowering your organisation to thrive in a data-driven world.

Key Benefits

• Privacy and Security: Data does not pass through publicly infrastructure; your data remains in your environment. The AI model(s) in use are trained commercially available and reside on infrastructure within your environment.
• Reference Points and Agents: Your AI server becomes far more powerful to use when it’s securely connected to your data. Pre-defined access to information repositories within your organisation gives your AI server the contextual information it needs to deliver incredible results without the need to give a public model access to your data or upload individual files. Once your customer AI server has been deployed, you can leverage Agentic AI to perform specific tasks or provide you with deeper contextual access to your data.
• Dedicated Access: Your AI server is yours and yours alone. This removes the burden of AI usage caps and busy periods slowing down your workflows. We’ll work with you to scope your requirements and size your solution appropriately which will impact user experience especially in the case of speed. Tokens will still apply as they relate to the contextual reference points an LLM can handle, which with current technology is limited but can be maximised with a custom deployment as this parameter isn’t linked to the pricing tier of a public service.
• Flexibility: Your AI server can reside on hardware on-premise, or securely in public or private cloud infrastructure. One or many LLM models can be selected based on use case and implemented to best serve your needs.

Maintenance and Updates

Once deployed, your AI server is frozen in time with the reference points it had when it was released, which is exactly as intended for an ‘off grid’ solution. Fortis Future™ offers bespoke Maintenance Agreements which are as customised as your AI server deployment itself. Periodic update deployments with sandbox testing with agents can be scheduled or coincide with a major release of an LLM.