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Sovereign AI, Hyperscale Performance. Delivered by Your Team.

We build and operate the full sovereign AI stack — infrastructure, models, and applications — on infrastructure you own, inside your jurisdiction, under your keys. Then we hand it to your engineers.

Here at Neor,

we run the whole AI stack so that you own it.

Operators, holdings, and regulated enterprises run on Neor

A selection of Neor customers

ArvanCloud · ICT Research Institute · MCI (Hamrah-e Aval) · Road Maintenance & Transportation Organization · Fanap Holding · Iranian Poushesh Insurance Holding · Derik Holding · Hezardastan Holding · Zharf Negar Holding · Sotoon Cloud Services · Abalon Cloud · Boxit · Bama · Skyroom · Afranet · BitBarg · Tabdeal · TouristPanel · Smilino

Market context

Retain Control While Benefiting From Large-Scale AI

Generative AI is scaling fast and becoming business-critical. Sovereignty and open source are what let an organisation capture that upside without handing over control of the data it runs on.

80%

of enterprises use generative AI in 2026

McKinsey, Gartner

$2.6–4.4T

estimated annual global economic impact

McKinsey

71%

see AI as an existential concern

McKinsey

$80.4B

sovereign AI market size by 2026

Gartner

20%

of workloads shift to sovereign infrastructure

Gartner

81%

say sovereign AI demands open source

Linux Foundation

Figures above are third-party market research from the sources named, not Neor results.

The requirement

Sovereign AI Demands Both: AI Conformance and Eight-Pillar Sovereignty

Most platforms can show you one or the other. Hyperscale reliability without jurisdictional control, or control without the performance to run real workloads. You need both at once.

AI Conformance

The reliability certificate for hyperscale AI performance.

  • GPU scheduling and isolation
  • AI training and inference support
  • Distributed AI job handling
  • Stability under sustained high load
  • Cloud-native networking and observability

Eight Pillars of Sovereignty

As defined by the European Commission.

  • StrategicOwnership and stability of your technology direction.
  • LegalInsulation from foreign legal claims over your data.
  • Data & AIControl over access, residency, and confinement.
  • OperationalThe ability to run without foreign vendor lock-in.
  • Supply ChainTransparency and control over the hardware beneath you.
  • TechnologyOpen standards, chosen specifically to prevent lock-in.
  • SecurityData stored and audited exclusively under your jurisdiction.
  • EnvironmentalSustainability and energy resilience as design inputs.

Where we operate

Three of the Five Layers, Delivered End to End

The AI ecosystem is five layers deep. Most providers sell you one of them and leave the integration to you. We deliver the top three as a single stack — and stay deliberately neutral on the two beneath.

05

Applications

Assistants, agents, and the workflows your users actually touch.

Neor delivers
04

Models

Training, fine-tuning, serving, evaluation, and governance.

Neor delivers
03

Infrastructure

The sovereign cloud platform: compute, storage, network, orchestration.

Neor delivers
02

Computer Chips

Accelerators from any vendor. We stay neutral and support what you buy.

Vendor-neutral
01

Energy

Power and cooling. Your facility, your utility, your contracts.

Vendor-neutral

The platform

One Sovereign Stack, From Accelerator to Agent

Every layer is assembled from open, auditable components on a Kubernetes foundation. Accelerator support is vendor-neutral by design, so procurement is never a single point of failure.

Heterogeneous accelerator support — we run on the hardware you can actually buy.
Kubernetes as the orchestration standard, not a proprietary control plane.
Open and auditable, so your own engineers can review it.

Use cases and agents

Knowledge assistants, document intelligence, IT and DevOps agents.

LLM services

Model store, model registry, gateway, and accelerated inference.

ML services

Data preparation, training, fine-tuning, and model serving.

AI compute services

Notebooks, IDEs, container instances, image registry, data stores.

Compute orchestration

Job queueing, gang scheduling, GPU sharing, distributed inference, pooling.

Kubernetes · the de facto standard for AI compute orchestration

Why Organisations Choose Neor

01

Accuracy above 95%

Measured against your own task, not a public leaderboard.

02

No vendor lock-in

Open components throughout, with source-code access where required.

03

Knowledge transfer

Your engineers operate the platform. No dependency by design.

04

Open source depth

Kubernetes and CNCF-standard components, end to end.

05

Multi-cloud when needed

Burst beyond your estate without surrendering control of it.

Our promise

Audit-Ready Security and Jurisdictional Autonomy.

Efficiency is margin

A Documented Path to 95% Sustained GPU Utilisation

Exclusive allocation typically leaves accelerators idle around 20% utilised. Six engineered phases take the same hardware to a sustained 95% — which is why the platform can serve the same workload on a fraction of the fleet.

BaselineExclusive allocation20%
1. GPU sharingFractional allocation60%
2. OrchestrationQueueing and gang scheduling65%
3. Data infrastructureHigh-throughput storage and RDMA75%
4. Software optimisationModern inference runtimes85%
5. ResilienceRolling upgrades, checkpointing90%
6. Workload managementDay and night fleet scheduling95%

95%

sustained peak GPU utilisation

4–5×

less hardware, power and cooling for the same work

up to 50×

inference optimisation on the same accelerators

Figures describe what the platform achieves under the six phases above. Results on your estate depend on workload mix and hardware.

Where This Takes You

Built for Regulated, Asset-Heavy Industries

Energy
Utilities
Oil & Gas
Telecom
Banking
Logistics

Engagement model

From Discovery to Scale in Two Months

Week 1–2

1. Discover

  • ·Joint workshop
  • ·Map workflows, data sources, and compliance requirements
  • ·Define success metrics

Output: A prioritised use-case roadmap and a data-readiness assessment

Week 3–6

2. Deliver

  • ·Deploy the platform on your sovereign stack
  • ·Start with one production-ready use case
  • ·Integrate with existing systems

Output: A working AI service in production, with measurable KPIs

Month 2+

3. Scale

  • ·Knowledge transfer
  • ·Add use cases
  • ·Continuous improvement

Output: Sovereign AI at scale, operated by your team

Timeline is contingent on infrastructure readiness and data-foundation availability.

The Platform Rests on the Engineering We Already Did

Sovereign AI is not a pivot away from what Neor has always done. It is what a decade of running Kubernetes, CI/CD, and production infrastructure for operators and holdings makes possible. Those services are still here, and still ours.

6+

Regions

203+

Physical Servers

1150+

Daily CI/CD Pipelines

99.99%

Guaranteed Uptime

Start With One Use Case. Own the Whole Stack.

Tell us which workload matters most and which regulator you answer to. We will come back with an architecture and a two-month plan.