Our Private AI Stack
Big AI platforms provide powerful features, but they charge based on usage tokens and introduce the critical risk of exposing your employees’ prompts and sensitive company data.
Our Private AI Stack provides you with the same advanced capabilities as major cloud AI platforms, leveraged on reliable open-source components and advanced open-weights AI models.
The difference? Not a single byte of data ever leaves your environment. We ensure complete data privacy and sovereignty, scalability, enterprise-grade security and predictable, affordable costs.
Core Capabilities of Our System
- Curated Flexibility: We build your system using a highly tested list of open-source components (like Ragflow, Onyx.ai, Librechat, LiteLLM, vLLM and more) so you get exactly the tools you need.
- Robustness & Scalability: Powered by Kubernetes. In business terms, this means your AI infrastructure can automatically scale up during high-demand periods, self-heal if a process fails and maintain rigorous, enterprise-grade security.
- Complete Ownership: You own the hardware, the data and the deployment. We ensure you only pay for what you need.
The Private AI Stack Components
Open-Weights LLMs
We select, configure and install top-tier open-weights foundation models such as Llama, Qwen and Mistral. These act as the powerful “brains” of your system, keeping advanced reasoning entirely in-house.
Applications
A suite of tested tools: LibreChat for an intuitive interface, buzz.xyz for collaboration and Anarlogs for meeting transcripts. We implement Ragflow and Onyx.ai for Enterprise Search and RAG (Retrieval-Augmented Generation). RAG allows the AI to securely read your siloed documents, giving you accurate, context-aware answers based strictly on your data.
Custom & Secure Agents
We include our proprietary Internet-Fetcher—a tool that allows the AI to browse the web for real-time data without exposing any of your private prompt information. If open-source components don’t fit a specific need, we develop ad-hoc agentic tools (e.g., automated finance report generation directly from your ERP).
Monitoring & Observability
A comprehensive observability stack featuring Elasticsearch (logs), Phoenix Arize (detailed LLM tracing) and Prometheus (metrics). This guarantees full traceability of every request, response and agent behavior, giving you total oversight over security, performance and model alignment.
The Engagement & Deployment Model
01
Features & Hardware Assessment
We select the exact mix of tested open-source components for your Private AI stack and determine if any custom, ad-hoc agentic apps need to be developed for your workflows. Concurrently, we perform a precise hardware sizing assessment to ensure high performance while avoiding unnecessary GPU costs.
02
Server Sourcing & Onboarding
Your components run on your servers. Whether you host them in your own data center, a colocation facility, or with a trusted dedicated server provider (we can recommend our trusted partners), we assist you through the end-to-end hardware onboarding process.
03
Infrastructure Deployment & Data Loading
We deploy the Kubernetes infrastructure and install your selected AI components. We also manage the data loading process (such as ingesting your company documents into the RAG system). By the end of this phase, your Private AI environment is fully functional and ready to be tested.
04
Exhaustive Testing & AI Evals
We conduct rigorous testing across all use cases with your real users. To ensure reliability and safety, hallucinations and inaccurate answers are actively prevented through comprehensive error analysis driven by advanced AI evaluation frameworks.
05
Documentation & Training
We provide complete documentation for your new system. We conduct tailored training sessions for both your administrative teams and end-users, ensuring a smooth handoff and immediate productivity.
Ready to secure your AI operations?