Cloud

Software
Engineering for
Cloud
Systems

We build the cloud software that keeps critical operations running — scalable infrastructure, resilient backends, and data platforms for space, industrial, and mission applications.

Our Capabilities

Cloud software for critical systems

6 Core Service Areas

Infrastructure, backend systems, data engineering, DevSecOps, edge computing, and mission operations platforms.

Architecture & Platform Engineering

Cloud Infrastructure

Purpose-built cloud infrastructure for systems that run continuously and cannot tolerate unplanned outages — designed against your workload, not generic templates.

  • Infrastructure as Code
    Fully version-controlled environments across AWS, Azure, and GCP — reproducible, auditable, and provider-agnostic
  • High-Availability Architecture
    Multi-region active-active and active-passive designs with controlled blast-radius failure modes
  • Cost & Performance Optimisation
    Right-sizing, reserved capacity planning, and architectural refactoring without compromising reliability
Infrastructure as Code Multi-Cloud High Availability Cost Optimisation
Cloud infrastructure engineering
Multi
Region Architecture
APIs, Services & Distributed Systems

Backend Systems

Reliable APIs, event-driven services, and distributed system patterns that hold under real load and degrade gracefully when dependencies fail.

  • API Design & Service Development
    RESTful and gRPC APIs with clear contracts, versioning, and authentication built for internal systems and external partners equally
  • Microservices & Event-Driven Architecture
    Decoupled service architectures with asynchronous messaging that isolate failure domains and scale independently
  • Real-Time Data Ingestion
    High-throughput streaming backends for telemetry, sensor data, and operational events with low-latency processing
REST & gRPC Microservices Event Streaming Real-Time Processing
Backend systems and distributed services
Zero
Single Points of Failure
Pipelines, Lakes & Analytics

Data Engineering

Data infrastructure that turns raw operational telemetry into structured, queryable datasets that engineering teams and mission analysts can act on.

  • Data Pipeline & ETL Development
    Batch and streaming pipelines with schema validation, lineage tracking, and automated quality checks at every stage
  • Data Lake & Warehouse Architecture
    Cost-efficient storage with fast analytical query performance and controlled access across organisational boundaries
  • Telemetry & Operational Analytics
    Analytics platforms for field asset and mission hardware data — anomaly detection, post-mission review, and longitudinal performance analysis
Data Pipelines Data Lake / Warehouse Telemetry Analytics Data Quality
Data engineering and analytics
Full
Data Lineage
CI/CD, Security & Reliability

DevSecOps

Delivery practices and tooling that make software deployment fast, safe, and repeatable — with security treated as a design requirement, not a remediation task.

  • CI/CD Pipeline Engineering
    Automated build, test, and deployment pipelines with environment promotion controls and rollback capability scaled to deployment risk
  • Cloud Security & Compliance Posture
    IAM, network segmentation, secrets management, and continuous compliance implemented as code — auditable across every environment
  • Observability & Incident Response
    Structured logging, distributed tracing, and alerting that surfaces real problems — with runbooks that enable fast, confident recovery
CI/CD Cloud Security Observability Compliance as Code
DevSecOps and cloud security
Secure
By Default
Distributed Compute & Field Connectivity

Edge & Hybrid Cloud

Software that extends cloud capabilities to environments where connectivity is intermittent, latency is a constraint, or data sovereignty rules out a pure cloud approach.

  • Edge Compute Deployment & Management
    Remote deployment, configuration management, and health monitoring for edge nodes that does not depend on a continuous uplink
  • Store-and-Forward Synchronisation
    Data sync protocols that keep edge systems useful when connectivity is degraded and reconcile data cleanly when links restore
  • Hybrid Cloud Integration
    Consistent identity, networking, and policy enforcement across on-premise, private cloud, and public cloud environments
Edge Compute Store & Forward Hybrid Cloud Comms-Resilient Sync
Edge computing and hybrid cloud
Offline
Capable Operations
Ground Systems & Operational Software

Mission & Operations Platforms

Cloud-hosted platforms that give engineering teams and mission operators the data, tooling, and visibility to manage deployments at scale.

  • Operational Dashboards & Monitoring
    Web-based interfaces for asset health, mission status, and system telemetry — with role-appropriate views and configurable alerting
  • Fleet & Asset Management Backends
    Cloud backends tracking configuration, software versions, and operational history across large fleets in multiple geographic regions
  • Post-Mission Analysis & Reporting
    Analysis tooling that processes field operation data for systematic review, anomaly investigation, and evidence-based improvement
Operations Dashboards Fleet Management Mission Analysis Reporting Platforms
Edge computing and hybrid cloud
Fleet
Scale Operations
Multi
Cloud Platforms
Infrastructure across AWS, Azure, and GCP without vendor lock-in
Zero
Single Points of Failure
High-availability architectures where no single component failure brings the system down
Secure
By Default
Security and compliance posture implemented as code from day one
Offline
Capable Operations
Edge architectures that keep field systems running when connectivity is lost
Cloud software engineering
Cloud
Infrastructure, Data &
Mission Platforms
Our Approach

Cloud software built for systems where downtime is not an option

We build the cloud layer that keeps critical operations running — from the infrastructure that hosts it to the platforms that give operators visibility. The standard is the same whether the system runs in a hyperscaler region or on an edge node in a communications-denied environment: it works without someone watching it.

  • 01
    Architecture designed around your constraints, not cloud defaults
    We design against your actual availability requirements, data sovereignty obligations, and compliance boundaries — not provider reference architectures built for general-purpose workloads.
  • 02
    Resilience engineered in, not added on
    Failure modes and recovery behaviour are specified and tested as core requirements — not addressed after the first production incident.
  • 03
    Security and compliance as engineering problems
    Controls and access policy implemented as code — version-controlled, auditable, and consistently enforced across every environment.
  • 04
    Engineering teams embedded through live operations
    Our engineers remain available through go-live and early operations — for incident response, tuning, and the decisions that only surface once real traffic is running.