Local AI consulting. Own the stack.
We design, deploy, and maintain private AI systems — on-premises LLMs, hybrid gateways, fine-tuned models, and production workflows — on hardware and pipelines you control.
SYSTEM STATUS: ONLINE · BUILD v0.3-cWhat we take on.
Five lanes. Same rule: you own the models, the keys, and the pipeline. We design, deploy, and hand over.
On-premises LLM deployment
Models on your GPUs. Data stays in the building.
> SVC_02Hybrid AI infrastructure
One gateway over local boxes, burst GPUs, and commercial APIs.
> SVC_03LLM fine-tuning
LoRA adapters you own — only when RAG and prompting are not enough.
> SVC_04AI workflows on infrastructure you own
Production automations against your models, with evals, not vibes.
> SVC_05Managed LLM infrastructure
Runtime, driver, and quality drift — watched on hardware you keep.
How an engagement runs.
Independent lab, not a reseller. Recommendations come from what we actually run. Proof is dated lab work — not a logo wall.
Workload first
Tokens, latency, data class, and who will operate the box. Fixed-scope proposal after that — no product to push.
On your metal
Local models, a gateway, a fine-tune, or a workflow. Wired into tools you already run. Keys stay with you.
Docs + evals
Runbooks, measurements, and a stack your team can operate. Retainer is optional; the system is not hostage to one.
// proof_
- GPU VRAM sizing tested on our fleet
- Self-hosted vs API cost tested on our fleet
- Agent harnesses tested on our fleet
- Telemetry hardening tested on our fleet
Open a channel.
Every transmission reaches the lab inbox directly. Typical response within one business day.