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Private AI, engineered, sourced and deployed

Your software, AI & cloud, and the hardware to run it.

Get my 48-hour blueprint

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 blueprint
48hours, start to finish
  • Validated cloud/on-prem architecture
  • Bill of materials
  • Expected costs
  • Sourcing options

Built with the names
you already trust.

We source through authorised US distributors and directly from the OEMs.

  • Arrow
  • TD SYNNEX
  • Dell Technologies
  • HPE
  • Lenovo
  • NVIDIA
  • Microsoft
  • Microsoft Azure
  • AWS
  • Google Cloud

No sales layer.
The engineer and the buyer.

Pankaj Kharkwal

Pankaj Kharkwal

Co-founder & CTO

Designs your blueprint.

A decade architecting infrastructure at Microsoft, Oracle, EY and Citrix.

ArchitectureAI / MLCloud
Rohit Kharkwal

Rohit Kharkwal

Co-founder & CEO

Prices it and gets it delivered.

Quotes and sells enterprise hardware every day, through Arrow, TD SYNNEX and the OEMs.

Hardware sourcingPricingDelivery

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.

Decision 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, 2025

Market 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 study

Lifecycle 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, 2026

One 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

“Llama 70B, so buy four H200s” isn’t a method.

  1. Workload
  2. Memory
  3. Concurrency
  4. Latency SLA
  5. Throughput
  6. Accelerator candidates
  7. Benchmark
  8. Architecture
  9. 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.

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.

  1. Pricing

    What it should cost

  2. Lead times

    When it really arrives

  3. Stock

    What is actually available

  4. Compatibility

    What works together

  5. Configurations

    What has been built before

  6. Supplier reliability

    Who delivers on time

  7. Warranty terms

    What is covered

  8. Performance

    What it really does

  9. Utilisation

    What actually gets used

  10. Deployment outcomes

    What went live, and how

The flywheel

  1. More customers
  2. More requirements
  3. More quotes
  4. Better data
  5. Better recommendations
  6. Higher trust
  7. More volume
  8. Better supplier pricing

One lifecycle.
One partner.

Engineer

Requirement

Start from the workload, not a SKU.

Engineer

Architecture

Compute, network, storage, power, software.

Engineer

Validation

Checked against OEM and NVIDIA support matrices.

Source

Supplier search

Distributors and OEMs, side by side.

Source

Quote

One all-in price, one delivery date.

Source

Procurement

Orders, contracts, licences, tracked.

Deploy

Deployment

Rack, firmware, drivers, CUDA, Kubernetes.

Operate

Monitoring

Utilisation, health and cost, measured.

Operate

Renewal

Warranties, RMAs and renewals on time.

Designs it. Sources it.
Deploys it. Runs it.

Engineer

Architecture & engineering

  • Workload analysis
  • GPU & server sizing
  • BOM
  • OEM comparison
  • Cloud vs on-prem
  • TCO
  • Power & cooling
Engineering services

Source

Hardware, software & cloud

  • GPU servers
  • AI workstations
  • Networking
  • Storage
  • Laptops
  • Licensing
  • Cloud
Hardware & software

Deploy

Deployment & professional services

  • Rack & stack
  • BIOS & firmware
  • CUDA
  • Kubernetes / Slurm
  • vLLM / NIM
  • Hardening
  • Benchmarking
AI infrastructure

Operate

Managed infrastructure

  • Monitoring
  • GPU health
  • Capacity
  • Patching
  • Support
  • Warranty & RMA
  • Renewals
Managed services

Your whole estate.
One place.

Architectures, quotes, orders, assets, warranties and renewals, from requirement to renewal.

Private LLM, 300 users

Validated

Open quotes

3

Assets tracked

214

Renewals in 90 days

5

Lead time by supplier

LineSupplier ASupplier BSupplier C
8-GPU inference node6 wks9 wksCall
400G leaf switch ×23 wks4 wks2 wks
NVMe storage, 200 TB5 wksBackorder6 wks

GPU utilisation

Platform preview with illustrative data.

What we supply.

End-user devices

Accessories & peripherals

Enterprise infrastructure

AI, HPC & supercomputing

Software & licensing

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.