Service

Private LLMs & B2B AI Agents

100% on-premise LLMs. Fine-tuning, RAG, multi-agent orchestration. Your data never leaves your infrastructure.

Qwen3.5 DeepSeek Llama 3 Mistral Gemma vLLM Ollama TensorRT-LLM LangChain LangGraph CrewAI AutoGen Chroma Pinecone FAISS LlamaIndex Haystack GGUF Podman Rocky Linux

What's included

Local fine-tuning — Qwen3.5, DeepSeek, Llama 3, Mistral adapted to your domain

RAG pipelines — Chroma, FAISS, LlamaIndex for secure internal knowledge bases

Multi-agent orchestration — LangChain, LangGraph, CrewAI, n8n with security hardening

vLLM / Ollama deployment — Rootless Podman, Rocky Linux, SELinux

Internal B2B APIs — secure endpoints integrated into your CRM, ERP, or workflows

Zero telemetry — no usage data, no external logs, no third-party API keys

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No sales rep, no intermediary. Direct access to 30+ years of field experience.

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Core technologies

Qwen3.5 DeepSeek Llama Mistral vLLM

FAQ

Frequently Asked Questions

Does my data leave my infrastructure?

No. Every model runs on your servers — on-premise or in your private cloud. No data is sent to OpenAI, Google, Anthropic, or any third-party provider. Zero inference cost after deployment.

Which LLM models can you deploy?

Any open-weight model that runs on your hardware: Qwen3.5, DeepSeek, Llama 3, Mistral, Gemma. We benchmark the best fit for your use case, language, and latency requirements before deployment.

How long does a private LLM deployment take?

A baseline on-premise deployment is 3–5 days. A full RAG pipeline or multi-agent orchestration system takes 3–6 weeks depending on integration complexity.

Questions about this service? Let's talk — no commitment required.

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