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LLM Deployment & Fine-Tuning

Private and secure model hosting, fine-tuning and evaluation pipelines, and inference infrastructure — engineered for enterprises that can't ship their data to a black box.

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What we do

Private LLM hosting architectures in your own subscription or tenancy — including GPU sizing and autoscaling
Fine-tuning and adaptation pipelines: data preparation, training runs, and regression evaluation
Model gateways: routing, rate-limiting, audit logging, and fallbacks across model providers
Local and edge GenAI: workstation-class model serving for teams that keep data on-premises
Inference cost engineering: quantization, batching, and right-sizing against real traffic
Evaluation harnesses: golden sets, LLM-as-judge pipelines, and release gates for model changes

How we deliver

Select

Model and hosting selection driven by your data-residency, latency, and cost constraints — not by vendor defaults.

Stand up

Serving infrastructure as code: GPU capacity, model registry, gateway, and observability in your own cloud accounts.

Tune

Fine-tuning or adaptation where it measurably beats prompting — proven by evaluation, not vibes.

Gate

Every model or prompt change ships through an evaluation gate, the same way our marketplace images ship through certification gates.

LLM Deployment & Fine-Tuning

What we do

How we deliver

Built on a public track record