Running LLMs Offline with Square Codex and PrivateGPT
PrivateGPT Run LLMs Securely Without Internet Access
As organizations prioritize data security and regulatory compliance, the ability to run large language models (LLMs) without an internet connection has become more valuable than ever. PrivateGPT offers an offline solution for deploying LLMs in completely isolated environments. At Square Codex, we help companies integrate tools like PrivateGPT into their AI infrastructure, ensuring maximum control, privacy, and customization through our expert nearshore development teams.
We specialize in building secure, scalable environments for sensitive AI workloads, empowering clients to maintain data sovereignty while taking full advantage of generative AI.
Understanding the Role of PrivateGPT
PrivateGPT is a framework that allows users to query documents using LLMs without requiring cloud access or sending data externally. This is especially useful for companies in sectors like finance, healthcare, law, or defense, where data sensitivity is critical.
Our developers at Square Codex help companies set up PrivateGPT to ingest internal documents, extract context, and generate precise responses using locally hosted models. These setups ensure that data remains within the organization’s infrastructure at all times.
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Building Secure AI Workflows Locally
Deploying LLMs offline involves more than just installing a model. From configuring GPU resources and managing dependencies to fine-tuning model performance, there are many technical challenges to address.
With Square Codex, businesses gain access to a dedicated team skilled in building end-to-end AI solutions that comply with security best practices. We handle backend integration, system orchestration, and pipeline optimization so our clients can focus on leveraging insights, not worrying about infrastructure.
Customization and Control at Every Level
One of the most powerful aspects of PrivateGPT is its adaptability. It can be combined with tools like LangChain, LlamaIndex, and ChromaDB to create complex retrieval-augmented generation (RAG) workflows. This allows organizations to feed their own knowledge bases into models while keeping the entire system disconnected from external networks.
Our nearshore teams at Square Codex are fluent in these frameworks and can help tailor them to your company’s specific needs. Whether you need a virtual assistant trained on internal documentation or an automated system for analyzing contracts, we deliver secure and flexible solutions.
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Nearshore AI Talent That Works with You
As a Costa Rican company, Square Codex operates in the same time zones as most North American businesses. This allows our developers to collaborate in real time, shortening development cycles and improving alignment with your internal teams.
We don’t just rent talent—we become an extension of your technical department. From system architecture to deployment, our developers are trained to support every stage of your AI journey with security, performance, and transparency in mind.
Secure Offline LLM Deployment with Square Codex
At Square Codex, we help companies deploy LLMs in isolated, on-premise environments using tools like PrivateGPT. Our nearshore developers bring the technical expertise and cultural compatibility needed to build secure, compliant, and fully customized AI systems. If your organization requires privacy-first solutions without compromising on innovation, we’re ready to make it happen.
