Expertise

Edge Inference.

On-premise 8B-class models and QR desk nodes for regulated workloads that never leave the building.

Practice
Expertise
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do

Three pillars that carry the practice.

01

On-prem 8B models

Quantized foundation models running on a single GPU — no cloud round-trip.

02

QR desk nodes

Branch and desk-side inference boxes with zero-touch provisioning.

03

Air-gapped deployments

Full model lifecycle inside an air-gap, with signed update bundles.

We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities

What we build inside this practice.

Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.

Scope an engagement
01Model quantization (GGUF, AWQ, GPTQ)
02On-prem inference servers (vLLM, TGI)
03Edge & branch deployments
04Air-gap update bundling
05Hardware sizing & procurement
06Zero-touch provisioning
07Local observability stack
08Offline eval harnesses
Reference architecture

How the pieces move.

Source systemsSAP · Oracle · SFIngest & modelstreaming + batchIntelligence layerAI · ML · rulesDelivery surfaceapps · agents · BIObservabilitydrift · SLO · audit
03 — In production

Numbers from the field.

120tok/s
On a single L40S

With INT4 quantization.

0ms
Cloud round-trip

On regulated branch workloads.

48hr
Branch deploy time

From ship to running inference.

Ready to scope this into your stack?

Book a working session with a lead architect.