We don't sell shelfware or PowerPoint strategies. Every engagement delivers working infrastructure, automated pipelines, and production-ready code.
Architecture, migration, and optimization across AWS, Azure, and GCP.
Cloud infrastructure shouldn't be a cost center. It should be a competitive advantage. We design architectures that are secure by default, cost-optimized by design, and built to scale without manual intervention.
Whether you're migrating a monolith, optimizing an existing cloud footprint, or building greenfield on Kubernetes, we bring hands-on engineering, not slide decks.
Well-Architected reviews, landing zone design, multi-account strategies, and network topology planning.
Lift-and-shift, re-platforming, and re-architecting workloads with zero-downtime migration strategies.
Resource right-sizing, reserved capacity planning, spot instance strategies, and automated scaling policies.
Terraform, CloudFormation, and Pulumi modules that make infrastructure reproducible, auditable, and version-controlled.
EKS, AKS, GKE cluster design, Helm chart management, service mesh configuration, and container security.
Hybrid cloud architectures, edge computing deployments, and on-premise to cloud bridge solutions.
CI/CD pipelines, GitOps workflows, and developer platform engineering.
DevOps isn't a role. It's an engineering discipline. We build automation that eliminates toil, pipelines that catch problems before production, and platforms that let developers ship with confidence.
Our own open-source toolkit, including GitOps governance, automated secret scanning, and self-hosted runner infrastructure, is proof that we practice what we preach.
GitHub Actions, GitLab CI, Jenkins, and ArgoCD workflows designed for speed, reliability, and security.
YAML-driven org management, PR-based change control, drift detection, and automated policy enforcement.
Internal developer platforms, self-service tooling, golden paths, and developer experience optimization.
Grafana, Prometheus, Loki, and Alertmanager stacks with custom dashboards and intelligent alerting.
Cron-based dispatchers, self-hosted runners, automated provisioning, and configuration management.
Semantic versioning, automated changelogs, blue-green deployments, and canary release strategies.
Custom applications, APIs, and enterprise platforms built for production.
We write software that ships to production, not prototypes that gather dust. Every application we build comes with automated tests, CI/CD pipelines, monitoring, and documentation as standard.
Our development practice is deeply integrated with our DevOps and security expertise, which means the code we write is deployable, observable, and secure from day one.
Full-stack web applications, microservices, and event-driven architectures tailored to your business logic.
RESTful and GraphQL APIs with OpenAPI documentation, rate limiting, authentication, and versioning.
Scalable platforms for internal tooling, data processing, workflow automation, and system integration.
Cross-platform mobile applications with native performance, offline support, and cloud backend integration.
Responsive interfaces built with modern frameworks, accessibility standards, and performance optimization.
Unit, integration, and end-to-end testing strategies with automated quality gates and code review workflows.
Proactive security operations, secret scanning, and incident response.
Security doesn't start at the perimeter. It starts in the codebase. We integrate security scanning into your development workflow, monitor your infrastructure around the clock, and respond to incidents before they become breaches.
Our dual-engine secret scanner, SOC monitoring stack, and automated alerting are tools we built and use internally, battle-tested before they ever reach your environment.
Dual-engine detection (Gitleaks + TruffleHog) with incremental scanning, multi-format reporting, and automated notifications.
Grafana + Prometheus + Loki stacks with custom dashboards, 7+ alert rules, and real-time log aggregation.
Continuous dependency scanning, CVE tracking, patch management, and security advisory workflows.
Runbook-driven response procedures, automated incident creation, status page updates, and post-mortem workflows.
Policy-as-code enforcement, audit logging, access control automation, and compliance reporting.
Zero-trust networking, identity management, encryption strategies, and defense-in-depth design.
Intelligent automation, LLM integration, and AI-powered workflows.
AI is only useful when it solves real problems. We help organisations integrate machine learning models, large language models, and intelligent automation into their existing workflows without the hype or the vendor lock-in.
From automated document processing to predictive infrastructure scaling, we build AI solutions that run in production, not just in notebooks.
Embedding GPT, Claude, and open-source models into applications with retrieval-augmented generation, prompt engineering, and guardrails.
End-to-end process automation using AI agents, document parsing, data extraction, and intelligent routing.
ML model deployment pipelines, A/B testing frameworks, model monitoring, and drift detection in production environments.
Forecasting, anomaly detection, and predictive maintenance models tailored to your infrastructure and business data.
Custom chatbots, voice assistants, and support automation built on your knowledge base with human escalation paths.
Intelligent ETL, automated data quality checks, and self-healing data pipelines that reduce manual intervention.
Data platforms, analytics infrastructure, and business intelligence.
Good decisions come from good data. We build the infrastructure that turns raw data into actionable insights: data lakes, streaming pipelines, warehouses, and dashboards that your team will actually use.
We focus on building data platforms that are reliable, cost-effective, and governed from day one. No data swamps, no ungoverned sprawl.
Lakehouse architectures, data mesh implementations, and modern data stack design on cloud-native services.
Batch and real-time data pipelines using Apache Kafka, Spark, Airflow, and cloud-native event processing.
Dashboard development, KPI frameworks, and self-service analytics with tools like Metabase, Looker, and Grafana.
Cataloguing, lineage tracking, access controls, and compliance frameworks for regulated data environments.
Snowflake, BigQuery, and Redshift implementations with cost optimization and query performance tuning.
Automated data validation, freshness monitoring, and anomaly detection to ensure pipeline reliability.
Tell us about your challenges and we'll show you how we can help, with working code, not slide decks.