From the decision to running AI

Decide, build, and run your private AI

AI is an expensive bet to get wrong. We help you make the call before you commit — then build the systems and supply the hardware to run them. Straight answers from the team that ships the racks, not a consultant's deck.

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14 deploymentsSovereign AI · fintech · telecom

3 hubsHong Kong · Dubai · Mainland China

Export-compliantLicensed & screened

One partner, three steps

From the decision to running AI: decide what's worth building, build it, and supply the hardware it runs on — one accountable partner across all three.

Decide

Before you spend a dollar: readiness score, adoption assessment, cloud-exit and infrastructure audit — honest verdicts on whether, what and how, defensible to the board.

Decision products →

Build

Private AI infrastructure, Physical AI and robotics, and Software & AI development — designed, built and delivered to production.

What we build →

Supply

GPU servers, enterprise hardware and Tier-1 brands from stock across three hubs — configured, compliant, delivered.

Browse hardware →

Not ready to buy? Start with the decision.

Most AI money is lost in the decision, not the deployment. Start free, or get a board-ready verdict — before a dollar of hardware or development is committed.

AI Readiness Score

Free · 3 min. Where your company stands across five dimensions — an instant score and a personal plan.

Take the free score →

Cloud Exit Assessment

Repatriate a rented workload or stay — a verdict with conditions you can defend to the board.

See the assessment →

Infrastructure Audit

From $5,000. An honest snapshot of what you actually have — true cost, real load, idle and lock-in.

Request an audit →

All eight decision products →

What we build

Once the decision is made, one team takes it to production — the models, the software around them, and the infrastructure underneath.

Private AI infrastructure

Inference and training clusters you own — sized to the models you actually run, deployed on-premise or in your own colocation, with fabric, storage and cooling designed in.

Private AI →

Software & AI

Production LLM and RAG applications, document intelligence, ML systems and the enterprise integrations around them — built by a senior team, running on infrastructure you control.

Software & AI →

Physical AI & robotics

Edge inference, robotics training and digital twins on NVIDIA Jetson, IGX and Omniverse — from a single devkit to a deployed fleet.

Physical AI →

How an engagement works →

Pick an entry point, not a blank page

Three validated private AI infrastructure architectures with real budgets, from a desk to a data hall — sized, costed and export-screened before you commit.

Starter Stack

from $95K

DGX Spark for development, one H200 NVL inference node, RAG tier. The smallest credible private-AI footprint.

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Inference PodMost deployed

from $350K

Four GPU nodes on a 400G fabric — production serving for 70–180B models, deployable in weeks on PCIe.

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Training Cluster

from $700K

HGX-class nodes on InfiniBand with flash storage and liquid cooling — honest allocation lead times.

View architecture →

AI infrastructure by region: Dubai UAE Hong Kong Singapore

Proof, not promises

Fourteen documented deployments across sovereign AI, fintech, telecom, aviation and life sciences — with the numbers the client signed off on.

Sovereign AI · Gulf

10 weeks

64× H100 SXM5 — 5 petaFLOPS under national control, from quote to commissioned cluster.

Read the case study →

Cloud exit · Series B AIFastest build

9 days

8× H200 PCIe live in nine days — 3× the throughput of their cloud baseline, break-even in 14 months on a $180K/month bill.

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Software & AI · immigration tech

−45% time

Four production LLM products grounded in the client’s own documents — 80% of routine drafting automated, +30% throughput.

Read the case study →

All 14 case studies →

And we supply the hardware underneath

Twelve categories from GPU nodes to optics, through authorized channels with OEM warranties. Popular positions ship from stock in Hong Kong and Dubai; everything else is quoted with honest lead times — firm pricing within one business day.