Open source artificial intelligence models such as Llama, DeepSeek, Qwen, Gemma, Granite, GLM, and GPT-OSS can
add
unparalleled analytical power to your business processes.
However, in today's world where data breaches have become commonplace, it is not possible to fully trust a
technology
that can access your critical corporate data.
To work with artificial intelligence without risk, we perform integrations on completely isolated (air-gapped)
systems
where communication with external networks is physically cut off.
Thanks to the closed-loop architecture that reduces the possibility of data leakage to zero, we support you in
integrating
the artificial intelligence models you have chosen into your existing software and automations with the highest
security standards.
Ready to get started? Reach out on WhatsApp to explore custom solutions, book a discovery call, or schedule a visit to your company.
We charge about $30 to $100 per hour depending on project scope and complexity. After our initial meeting, we evaluate your project's requirements and provide a tailored proposal and schedule.
Are our company data sent to third-party cloud providers (OpenAI, Anthropic, etc.)?
No. The open-weight models we deploy (Llama, DeepSeek, Qwen, etc.) run entirely on your own local on-premise servers. Your data never leaves your network and is never transmitted to third-party APIs.
Do we need expensive enterprise GPU servers to run open-source AI models?
Not necessarily. Depending on your workload and model size, we optimize your existing workstation GPUs or budget-friendly hardware using quantized models that deliver high inference performance on standard hardware.
How do you connect our internal documents, PDFs, and databases to the AI model?
We build local Retrieval-Augmented Generation (RAG) pipelines and vector databases so the AI model securely queries your internal documentation, PDFs, and databases to generate accurate, context-aware responses.
Is it easy to update the system when a newer open-source model is released?
Yes. We build a modular architecture that allows you to swap in newer, more capable models seamlessly without rewriting your internal software. We also hand over build scripts and training so your team can manage updates independently.
Can we run AI in air-gapped environments without an internet connection?
Yes. Our deployments can run in completely air-gapped, physically isolated networks. All model weights, vector indexes, and system dependencies are hosted locally on your internal network.
Can you fine-tune the model specifically for our industry terminology or custom tasks?
Yes. In addition to RAG, when your domain requires specific jargon or task formats, we perform parameter-efficient fine-tuning (LoRA / QLoRA) using your custom datasets.
How do you prevent the AI model from generating incorrect info or hallucinations?
We enforce strict system prompts, source-grounding verification, and confidence threshold filters in the RAG pipeline to ensure the AI responds strictly based on verified source documentation.
How do we integrate the local AI model into our existing ERP, CRM, or internal software?
We set up OpenAI-compatible REST API endpoints on your local server. This allows your existing software applications to communicate with your private AI service seamlessly using standard HTTP requests.
What training and post-integration support do you provide to our team?
After integration, we train your staff on prompt engineering best practices, local administration, and operational security hygiene, backed by direct technical support for the duration specified during the planning phase.
Have More Questions?
Have questions about our solutions? Message us on WhatsApp to discuss your goals, set up a virtual meeting, or arrange an on-site consultation.
