Private LLM and AI infrastructure that runs inside your perimeter
We put models on your own or dedicated servers and set up deployment, monitoring and cost control. Our own LLM for call and video analysis runs the same way.
This category covers everything underneath an AI product: a private model on your servers, fine-tuning on your examples, release and rollback pipelines, quality and cost monitoring, and GPU selection and hosting.
It pays off when data cannot leave for third-party models, when API bills grow every month, or when AI is already in production and downtime costs money. Banks and clinics often need a closed perimeter that their security team and DPO can sign off.
We run our own LLM on vLLM for call and video analysis, so we know this work from the inside. We start with a 1-2 week discovery, give a fixed estimate in 2-3 days and launch on part of the load first.
Services in this section
- from $10,000 · 6–10 weeksPrivate LLM deployment
We pick an open-weight model for your tasks, deploy it on vLLM inside your perimeter and expose an OpenAI-compatible API. Your apps switch to it without a rewrite.
Details → - from $10,000 · 6–10 weeksLLM fine-tuning on your data
We train an open-weight model on your conversations, documents and approved answers. It starts using your terms and formats, and we measure quality on a test set before and after.
Details → - from $8,000 · 6–10 weeksMLOps and LLMOps for AI systems
We build a process where every prompt or model change runs automated evals, ships to part of the traffic first and rolls back with a single command if something goes wrong.
Details → - from $5,000 · 3–5 weeksLLM cost optimisation
We find where your LLM money goes and move each request type to the cheapest model that passes your quality tests. Nothing changes without a measurement.
Details → - from $5,000 · 3–6 weeksAI observability and monitoring
See every step your agent takes: which request came in, what the model answered, which tool it called and what it cost. You learn about a failure before your customer does.
Details → - from $10,000 · 4–8 weeksGPU infrastructure and model hosting
We calculate the hardware your models and load really need, deploy it and set it up so the system handles peaks and survives the loss of a server.
Details →
All services
Describe the task. The first call is with the founder.
We reply within one business day. 30 minutes to tell you whether it is worth doing and what it costs.