// services
AI systems you own, end to end.
ATIQ Labs helps teams build, deploy, and maintain AI infrastructure on their own hardware — or wired together across providers so they own the entire token pipeline. No lock-in, no black boxes.
Data cannot leave the building.
On-premises LLM deployment
Your models, your hardware, your data — never leaves the building. We design, deploy, and hand over production-grade local LLM systems sized to your workload and budget.
You mix local models with APIs and burst GPUs.
Hybrid AI infrastructure
The strongest stacks are hybrid: local hardware for privacy-critical and steady-state workloads, burst to cloud GPUs or APIs when you need scale. We wire it into one gateway with routing, failover, observability, and cost controls — so you own the pipeline end to end.
RAG and prompting still miss tone, format, or a narrow task.
LLM fine-tuning
When prompting and retrieval aren't enough, fine-tuning bakes your domain knowledge, tone, and formats directly into a model you own. We handle the full loop: dataset curation, training, evaluation, and deployment back into your stack.
You need a working process, not a chatbot demo.
AI workflows on infrastructure you own
Models are components; value comes from workflows. We design and build production automations — document processing, research agents, support tooling, reporting pipelines — running against your own models and infrastructure.
The stack exists and is quietly rotting.
Managed LLM infrastructure
AI systems drift: models get outdated, drivers and runtimes move, usage grows, quality regresses quietly. Our maintenance plans keep your stack current, monitored, and improving — with a defined response path when something breaks.
How we engage
Requirements call → fixed-scope proposal → build and handover. We do not resell a platform. How the lab works →
Not sure which fits? Start with a requirements call.
Get in touch