Your data. Your servers. Your control.

Build once.
Run forever.

We deploy, configure, and optimise self-hosted AI stacks — open-source LLMs, private databases, automation pipelines — on your own servers. No SaaS subscriptions. No data exposure. No vendor lock-in.

Why self-host

Own your AI stack, own your future

SaaS AI tools are convenient — until you have a compliance audit, a pricing change, or a data breach. Self-hosted infrastructure gives you control that no subscription ever will.

Full Data Sovereignty

Your data never leaves your servers. No third-party API calls, no SaaS data-sharing agreements — just your models on your infrastructure.

  • On-premise or private cloud
  • Zero external data exposure
  • GDPR & HIPAA ready
  • Air-gapped options available

Open-Source AI Stack

We deploy and tune the best open-source models for your workload — Llama, Mistral, Qwen, and more — optimised for your hardware budget.

  • LLM deployment & fine-tuning
  • GPU and CPU optimisation
  • Model quantisation (GGUF, GPTQ)
  • Local embedding pipelines

Production Infrastructure

A scalable, observable stack built with tools you own — from load balancing to monitoring dashboards and auto-scaling policies.

  • Docker / Kubernetes deployment
  • Nginx + SSL termination
  • Prometheus & Grafana monitoring
  • Automated backups & failover

The stack

Battle-tested open-source tools

We select and configure the best open-source tools for each layer of your infrastructure — no bloat, no black boxes.

LLM Runtime

OllamavLLMllama.cppLM Studio Server

Orchestration

n8n (self-hosted)FlowiseLangChainCustom API

Vector / Knowledge

QdrantWeaviateChromapgvector

Databases

PostgreSQLMySQLRedisMinIO (S3-compatible)

Infra & DevOps

Docker ComposeKubernetesTraefikCloudflare Tunnel

Monitoring

PrometheusGrafanaUptime KumaLoki (logs)

How we work

From blank server to production stack

A clear process with no surprises — you see what's being built at every step.

01

Audit

We review your current setup, data requirements, compliance constraints, and hardware budget before recommending a stack.

1 day

02

Design

We produce a full infrastructure blueprint — server specs, stack selection, network topology, and a deployment plan.

2–3 days

03

Deploy

We deploy, configure, and harden your stack — models, APIs, databases, reverse proxy, SSL, and monitoring.

1–2 weeks

04

Optimise

We benchmark inference speed, tune quantisation, and set auto-scaling rules to get the best performance per dollar.

2–3 days

05

Handoff

Full documentation, runbooks, and a live walkthrough so your team can operate and extend the stack independently.

Included

FAQ

Self-hosting questions, answered

Free infrastructure review

Ready to own your stack?

Book a free 30-minute review. We’ll assess your current setup, identify the right stack for your workload, and give you a clear deployment plan — before you spend anything.

team@createworkflow.io