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Open-Source & Self-Hosted AI

AI that runs where your data already lives.

Open-weight models on your own servers or private cloud — nothing sensitive leaves your network.

You are here if…

  • Your data cannot legally leave the country, or the building.
  • Per-token pricing makes a high-volume workload unaffordable.
  • You do not want a vendor deprecating the model you built on.
  • Compliance will not approve sending documents to a third-party API.

What we deliver.

Model selection

The smallest open-weight model that does the job.

On-premise or private cloud

Your hardware, your VPC, your rules.

GPU sizing and cost

What it needs, and what it will cost to run.

Serving and scaling

Batched inference that holds up under real load.

Data stays inside

No third-party API ever sees your documents.

Upgrade path

Swap the model without rewriting the application.

How it runs.

  1. Establish the real constraint — law, cost, latency or control.

  2. Benchmark candidate open models on your own task.

  3. Size the hardware honestly, including what idle time costs.

  4. Deploy behind your own network boundary, with monitoring.

  5. Retest when a better open model appears, and swap if it wins.

The stack

Llama, Mistral, Qwen, vLLM, Ollama, Hugging Face, Docker, Kubernetes, NVIDIA GPUs

Questions.

For most business tasks, yes — and we benchmark on your task before recommending one. Where a hosted frontier model is genuinely better, we will say so.

Need this built properly?

A free 30-minute technical call. We tell you what it takes and what it costs.

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