TekMindz

Private AI, on your own infrastructure.

We design, deploy and run private AI inside your own data centre or sovereign cloud, so you get modern language models without your data leaving your control.

Overview

Private AI, deployed and managed on your own infrastructure, with the trade-offs explained before you buy.

Some data can’t go to a third party, and hosted AI can’t answer “who else can see our data?”. A private deployment can.

  • Your data Stays inside your own infrastructure
  • In writing Throughput, capability and cost before purchase
  • Open-weight Models chosen on measured results
  • Day one AI gateway for access control and logging

01 · WHAT YOU GET

Design first, then build and run.

The design stands alone. Take it, have us build it, or have us build and run it.

The whole stack, inside your walls

Sizing & design Included

Your infrastructure

  • Your applications and data Integration through the gateway
    Included
  • AI gateway Access control, logging, cost tracking
    Included
  • Open-weight models Deployed and tuned for your load
    Included
  • GPU servers and network We source and install, or specify
    Optional
Managed operations Optional

02 · EXPECTATIONS

Control, capability and cost: a trade we show you first.

Before any hardware is ordered, so you choose with your eyes open.

Three model tiers

  1. Under about 10B

    Small

    HandlesClassification, extraction, short summaries

    HardwareOne or two GPUs

  2. About 30B to 70B

    Mid-size

    HandlesMost assistants and document workloads

    HardwareA multi-GPU server

  3. 100B and above

    Large

    HandlesComplex reasoning and agents

    HardwareA GPU cluster

Light usage? A hosted enterprise service is usually cheaper and good enough.

What we say in every design conversation

  • Throughput is a hardware decision
  • Retrieval before fine-tuning
  • Models will change: swap, don’t rebuild

03 · WHY TEKMINDZ

Why TekMindz for private AI.

One partner from design to operations, with the trade-offs stated up front.

What sets it apart

  • Done where it is hardest
  • Design before hardware
  • One partner, design to operations
  • Vendor-neutral models
  • Governed from day one

Also from us

The other ways we work on AI