Services

Private AI services, end to end

Most vendors sell either a platform or a fine-tuning project. We cover the whole path: hardware sizing, open-model selection, quantization, deployment, fine-tuning, retrieval, governance and long-term operations.

On-premise AI deployment

Turnkey installation of open-source LLMs on your servers: GPU sizing, vLLM or Ollama serving, OpenAI-compatible gateway, SSO and audit logging.

LLM fine-tuning services

LoRA, QLoRA and full fine-tunes on proprietary data with rigorous before/after evaluation. Delivered on your infrastructure so training data never leaves.

Air-gapped AI solutions

Fully disconnected AI for classified, ITAR-relevant or IP-critical environments, with documented offline update and model-refresh procedures.

Cloud-to-on-prem migration

Replace third-party AI APIs with self-hosted equivalents behind a drop-in compatible endpoint — usually with zero application code changes.

Managed private AI

Ongoing operations: monitoring, security patching, capacity planning and scheduled model refreshes under a service agreement.