Private AI · engineered, sourced, deployed
Your software, AI & cloud, and the hardware to run it.
Get my 48-hour blueprint
Architecture, BOM, costs and sourcing options, within 48 hours.
// our partners in the US
Built with the names
you already trust.
- ArrowDistribution partner
- TD SYNNEXDistribution partner · USA
- Dell TechnologiesOEM partner
- HPEOEM partner
- OEM partner
- NVIDIAGPU & AI compute
- MicrosoftLicensing partner
- Microsoft AzureCloud partner
- Cloud partner
- Google CloudCloud partner
// private ai
Need to deploy private AI?
Give us your workload, users, budget and timeline. Within 48 hours we’ll give you a validated cloud/on-prem architecture, BOM, expected costs and sourcing options.
Get my 48-hour blueprint48hours
- 01Validated cloud/on-prem architecture
- 02Bill of materials
- 03Expected costs
- 04Sourcing options
// our belief
Resellers ask what you want to buy.
We ask what you're trying to build.
// the problem
It isn’t a purchasing problem. It’s a decision-quality problem.
01Decision quality
≈ 4 in 5
tech buyers regretted their most recent technology purchase
Infrastructure is chosen from spec sheets, not from the workload it has to run.
Source: Gartner, 202502Market visibility
46 days
average from supplier quote to PO approval in one documented enterprise case
Prices, stock and lead times sit behind quote forms, logins and account managers.
Source: Hudson & Hayes case study03Lifecycle efficiency
69%
of surveyed GPU operators reported utilisation of 50% or less (self-selected sample)
Once it's deployed, few teams can see whether the spend is paying off.
Source: VentureBeat survey, 2026One data-centre GPU, six suppliers
Then the emailing starts.
Call for price
Supplier A
Out of stock
Supplier B
Backordered
Supplier C
Login required
Supplier D
Talk to sales
Supplier E
Ask your account manager
Supplier F
One lifecycle.
One partner.
RequirementRenewal
01Engineer
Requirement
Start from the workload, not a SKU.
02Engineer
Architecture
Compute, network, storage, power, software.
03Engineer
Validation
Checked against OEM and NVIDIA support matrices.
04Source
Supplier search
Distributors and OEMs, side by side.
05Source
Quote
One all-in price, one delivery date.
06Source
Procurement
Orders, contracts, licences, tracked.
07Deploy
Deployment
Rack, firmware, drivers, CUDA, Kubernetes.
08Operate
Monitoring
Utilisation, health and cost, measured.
09Operate
Renewal
Warranties, RMAs and renewals on time.
// how we size it
“Llama 70B, so buy four H200s” isn’t a method.
- Workload
- Memory
- Concurrency
- Latency SLA
- Throughput
- Accelerator candidates
- Benchmark
- Architecture
- Cost
Same model, different hardware
Prompt length, concurrency and latency targets change the answer.
Deterministic compatibility checks
GPU, server, network, OS, hypervisor and Kubernetes against OEM and NVIDIA support matrices.
AI reads it, engineers sign it
AI interprets the requirement. An engineer signs off the bill of materials.
Designs it. Sources it.
Deploys it. Runs it.
01 / 04
Engineer
Architecture & engineering
- Workload analysis
- GPU & server sizing
- BOM
- OEM comparison
- Cloud vs on-prem
- TCO
- Power & cooling
02 / 04
Source
Hardware, software & cloud
- GPU servers
- AI workstations
- Networking
- Storage
- Laptops
- Licensing
- Cloud
03 / 04
Deploy
Deployment & professional services
- Rack & stack
- BIOS & firmware
- CUDA
- Kubernetes / Slurm
- vLLM / NIM
- Hardening
- Benchmarking
04 / 04
Operate
Managed infrastructure
- Monitoring
- GPU health
- Capacity
- Patching
- Support
- Warranty & RMA
- Renewals
// infrastructure intelligence
Every quote makes
the next one smarter.
Each design, quote and deployment adds to one record of what works, what it costs and how fast it arrives.
- 01
Pricing
What it should cost
- 02
Lead times
When it really arrives
- 03
Stock
What is actually available
- 04
Compatibility
What works together
- 05
Configurations
What has been built before
- 06
Supplier reliability
Who delivers on time
- 07
Warranty terms
What is covered
- 08
Performance
What it really does
- 09
Utilisation
What actually gets used
- 10
Deployment outcomes
What went live, and how
The flywheel
- More customers
- More requirements
- More quotes
- Better data
- Better recommendations
- Higher trust
- More volume
- Better supplier pricing
Your whole estate.
One place.
Architectures, quotes, orders, assets, warranties and renewals, from requirement to renewal.
Private LLM, 300 users
ValidatedOpen quotes
3
Assets tracked
214
Renewals in 90 days
5
Lead time by supplier
| Line | Supplier A | Supplier B | Supplier C |
|---|---|---|---|
| 8-GPU inference node | 6 wks | 9 wks | Call |
| 400G leaf switch ×2 | 3 wks | 4 wks | 2 wks |
| NVMe storage, 200 TB | 5 wks | Backorder | 6 wks |
GPU utilisation
Platform preview with illustrative data.
Need to deploy private AI?
We design it, validate it, source it, deploy it and help run it.
Get my 48-hour blueprint
Give us your workload, users, budget and timeline. Within 48 hours we'll give you a validated cloud/on-prem architecture, BOM, expected costs and sourcing options.