Real stories. Real infrastructure.

Operators and holdings build, scale and transform with Neor

How organisations that cannot afford downtime or data leaving the country run their infrastructure with us — and end up operating it themselves.

The engagement ends when you no longer need us

Every engagement below finished the same way: documented runbooks, paired operations, and a handover tested by having the customer’s own team do the work.

Show me work in· about28 results
  • Case study

    Production and disaster-recovery topologies for a national cloud provider

    Architecture and operations across primary and recovery sites, with tested failover between them.

    Cloud & HostingDisaster Recovery
  • Case study

    Cloud-native platform engineering for a national mobile operator

    Kubernetes platform work and production infrastructure operations at operator scale.

    TelecomKubernetes Platform
  • Case study

    Research infrastructure moved onto a managed cloud-native platform

    Migration and platform operations for a public research body, inside its own boundary.

    Government & ResearchCloud Migration
  • Case study

    Monitoring and operational visibility for national transport systems

    Metrics, logging, and alerting across services operated by a public transport authority.

    Government & ResearchMonitoring & Observability
  • Case study

    DevOps delivery inside a large technology holding

    Pipeline engineering and infrastructure operations across multiple product teams.

    Technology HoldingDevOps as a Service
  • Case study

    Shared Kubernetes platform for a multi-company group

    Cluster platform and delivery tooling used by several businesses under one holding.

    Technology HoldingKubernetes Platform
  • Case study

    Business intelligence and platform workloads on Kubernetes

    Data and BI workloads running on managed Kubernetes for a high-traffic marketplace.

    Marketplace & E-commerceHigh Load & Scaling
  • Case study

    Scaling a real-time video platform for concurrent load

    Infrastructure and resilience work for a live communication service with peaky demand.

    Media & CommunicationHigh Load & Scaling
  • Case study

    Kubernetes platform and application delivery for a B2B marketplace

    Cluster manifests, Helm packaging, and automated delivery across front and back end.

    Marketplace & E-commerceCI/CD Automation
  • Case study

    Platform engineering for a cloud service provider

    Cloud-native platform work delivered for a provider serving its own customers.

    Cloud & HostingKubernetes Platform
  • Case study

    Cloud adoption for an established network operator

    Moving services onto cloud-native infrastructure without interrupting delivery.

    TelecomCloud Migration
  • Case study

    DevOps practice inside a regulated insurance group

    Delivery automation and infrastructure operations under sector compliance requirements.

    InsuranceDevOps as a Service
  • Case study

    Exchange infrastructure built for volatile demand

    Scaling and resilience engineering for a trading platform with unpredictable peaks.

    Financial ServicesHigh Load & Scaling
  • Case study

    Observability across a trading platform

    Monitoring, alerting, and incident visibility for a service that cannot go quiet.

    Financial ServicesMonitoring & Observability
  • Case study

    Delivery pipelines for a logistics platform

    Continuous integration and deployment across a logistics product estate.

    Logistics & DeliveryDevOps as a Service
  • Case study

    Cloud-native foundation for a delivery service

    Infrastructure and platform work supporting a growing logistics operation.

    Logistics & DeliveryCloud Migration
  • Case study

    A complete AI platform stood up inside a public body’s own boundary

    Training, fine-tuning, serving and governance on the organisation’s own hardware, with no data leaving it.

    Government & ResearchSovereign AI Platform
  • Case study

    Document intelligence over a restricted archive

    Retrieval grounded in the organisation’s own corpus, honouring the access rules the source systems already enforce.

    Government & ResearchRAG & Knowledge Base
  • Case study

    Compliance review automated inside a regulated boundary

    An agent that drafts and checks regulatory reviews, with approval gates and a full audit trail.

    Financial ServicesAI Agents
  • Case study

    Anomaly and fraud detection trained on data that cannot leave

    Models built and served on the institution’s own infrastructure, with weights held in its registry.

    Financial ServicesPredictive AI
  • Case study

    A domain model tuned for risk and underwriting language

    A smaller open model adapted to the insurer’s own documents, outperforming a general model on the task.

    InsuranceModel Fine-Tuning
  • Case study

    IT and DevOps operations agents across a product estate

    Agents that triage alerts and run routine operations against real systems, with isolated, logged execution.

    Technology HoldingAI Agents
  • Case study

    Predictive maintenance across distributed field assets

    Failure prediction from operational telemetry, trained and served entirely on-premise.

    Energy & UtilitiesPredictive AI
  • Case study

    Demand and load forecasting for grid operations

    Forecasting models feeding operational planning, on infrastructure the operator controls.

    Energy & UtilitiesPredictive AI
  • Case study

    A support assistant grounded in operator documentation

    Customer and service agents answering from approved internal sources rather than a public model.

    TelecomAI Agents
  • Case study

    Turning an idle accelerator fleet into a metered internal service

    Pooling, fractional allocation and scheduling, with per-team metering and chargeback.

    Cloud & HostingGPU Optimisation
  • Case study

    A clinical knowledge assistant that never sends records outside

    Retrieval and generation over sensitive records, inside the provider’s own boundary.

    HealthcareRAG & Knowledge Base
  • Case study

    Automated quality inspection on the production line

    Vision models trained on plant data and served at the edge, close to where the decision is made.

    ManufacturingPredictive AI

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