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Local & Private Models

When data can't leave your network, the model comes to you. Open-weight models on your hardware or private cloud, wired into the same tools and gateway.

Our Approach

For many organisations the blocker isn't capability, it's data residency. Customer records, health information, defence-adjacent work, and commercially sensitive documents often can't be sent to a third-party AI API, whatever the contract says.

We deploy open-weight models on infrastructure you control: on-prem GPUs, a private cloud tenancy, or a single well-specified server. We pick and size models for the job, serve them with production-grade tooling such as vLLM or Ollama, and connect them to private retrieval over your documents and to the same governed MCP tools your other agents use.

Not everything needs a local model. We often design hybrid routing: sensitive or high-volume routine steps run locally, while harder reasoning on non-sensitive data goes to a frontier cloud model. You get control over both privacy and cost.

Problems We Solve

  • Data residency or confidentiality rules that rule out cloud AI APIs.
  • Unpredictable, growing token bills for high-volume routine tasks.
  • Uncertainty about which open-weight models are good enough for the job.
  • Air-gapped or restricted environments with no internet egress.

Execution Methodology

We benchmark candidate models on your own tasks, size hardware against expected load, deploy the serving stack with monitoring, and connect it to private RAG and governed tools. Where it makes sense, we add routing between local and cloud models.

What We Deliver

  • Model selection & benchmarking on your tasks
  • On-prem / private cloud deployment
  • Private RAG over internal documents
  • Hybrid local/cloud model routing
Not sure if it fits?

Talk it through in 30 minutes

Tell us about your systems and what you want agents to do. You'll leave knowing where to start, what it would involve, and roughly what it would cost.

Get in touch

Let's find your first agent-ready workflow.

A 30-minute call to talk through your systems, your constraints, and where agents could do real work.

No hard sell. After the call you'll know where to start, what it would involve, and roughly what it would cost.

Readiness assessments start from $1,500. Fixed-price implementations from $8,000.