StrategyPrivate AI Cloud (deployed on sovereign infrastructure)

Sovereign AI in your data centre or VPC.

Our Private AI Cloud is the substrate - open-weight LLMs, vector stores, retrieval, observability and guardrails, deployed in your VPC, on-prem or a customer-chosen cloud environment. This page describes how we deliver it. Zero data egress. Predictable cost. Full audit trail.

Who this is for

Three signals you're ready for this work.

"Sensitive data, third-party LLM APIs are a non-starter."

Open-weight LLMs hosted in your VPC, zero egress to providers.

"Per-token pricing destroying unit economics."

Predictable GPU cost profile vs. unbounded per-token spend.

"Regulator demands data sovereignty and key control."

Full KMS, key sovereignty and end-to-end encryption - yours, not ours.

Measurable outcomes

What clients see.

0
Data egress to third-party model providers
8 wks
Typical sovereign-cloud deployment timeline
40–70%
Cost reduction vs. equivalent per-token API spend at scale
100%
Audit-trail coverage on every inference
Our proven approach

How we work.

01
Architect
2 weeks

Workload sizing, GPU selection, model shortlist, network and KMS design.

02
Deploy
3 weeks

Private cloud deployed in your VPC / on-prem. LLMs, vector store, retrieval, guardrails wired.

03
Integrate
2 weeks

Application integration, eval harness, observability, audit logging.

04
Operate
Ongoing

Managed run, model lifecycle, GPU FinOps, quarterly architecture review.

Deliverables

What you walk away with.

Concrete artefacts your board, your auditors and your delivery teams can all act on.

  • Deployed in your VPC, on-prem or a customer-chosen cloud environment
  • Open-weight LLM stack with fine-tuning pipeline
  • GPU cluster design with scheduling and multi-tenancy
  • Private vector and feature stores
  • End-to-end encryption, KMS integration, key sovereignty
  • Observability, guardrails and full audit logging
Anonymised example

European public-sector body · Sovereign LLM.

European public-sector body · Sovereign LLM

Replaced commercial LLM dependency with a fully sovereign sovereign-cloud deployment in eight weeks.

8weeks, design to production
Common objections

Asked and answered.

What to expect

30 / 60 / 90.

Day 30
Architecture signed

Workloads sized, models picked, network and KMS design approved.

Day 60
First inference in your VPC

Private cloud deployed. First production workload running.

Day 90
Full handover or managed run

Either your team operates it, or we run it under SLA.

Why Kolomolo for Private AI Cloud (deployed on sovereign infrastructure)

A delivery partner, not a deck factory.

Built for sovereignty.

Designed from day one for VPC, on-prem and sovereign-cloud deployment.

We own the delivery.

We build the platform and we deploy it - no reseller, no third-party support chain.

Open-architecture.

Open-weight LLMs, open vector stores, open observability - no lock-in by design.

EU-data fluent.

GDPR, AI Act, sector data-residency rules applied correctly first time.

Sovereign AI, deployed in weeks.

Private cloud foundations are the substrate. This page is how we deliver it. Talk to a practitioner who's shipped it before.