Two disciplines, one team that ships and operates what it builds.
We split our work into Platform Engineering — the systems that run your software, Application Engineering — the software itself, and AI & Automation — agents that act on top of both. Most clients need these talking to each other, which is exactly where we're strongest.
DevOps, SRE, MLOps & SecOps
DevOps
CI/CD pipelines, containerisation, and infrastructure as code with Terraform — built so releases are routine, not risky. We design Kubernetes platforms (including Karpenter-based autoscaling on EKS) that scale with actual load instead of guesswork.
Site Reliability Engineering
SLIs, SLOs and error budgets that reflect what your users actually feel, backed by observability stacks — Prometheus, Grafana, Loki and the ELK stack — tuned to surface the alert that matters, not every alert.
MLOps
Deployment pipelines for models, not just code: versioned training data, reproducible builds, staged rollouts, and monitoring for drift, latency and cost so a model in production stays trustworthy after day one.
SecOps
Security folded into the pipeline: IAM least-privilege by default, secrets management, image and dependency scanning, and access-entry hygiene — the kind of hardening that shows up in an audit, not just a slide deck.
AI Agents
Custom AI agents
Agents that take real actions — reading tickets, querying internal APIs, triggering deployments or updating a database — wired into the tools your team already uses, not a standalone chat widget nobody opens.
LLM integration & RAG
Retrieval-augmented pipelines that ground responses in your own documentation, codebase or support history, so answers are specific to your product instead of generic.
Workflow automation
Agentic automation for repetitive engineering and support workflows — incident triage, log summarisation, PR review assistance — the kind of work an SRE or support team does every day.
Production-grade deployment
Because this is our own home turf, agents ship with the same monitoring, cost tracking and security guardrails as everything else we build — not a prototype left running unmonitored.
Full-stack development
Java & Spring Boot
REST APIs and CRUD services built on Spring Boot with clean data models, proper validation, and a test suite you can trust — designed from the start to deploy cleanly onto the Kubernetes platforms we build.
Python
Backend services, automation, and data-pipeline tooling in Python — the same language your MLOps and SRE tooling likely already speaks, so infrastructure and application code stay in sync.
JavaScript & Node.js
Node.js APIs and services for products that need to move fast — event-driven, well-typed where it counts, and built to sit comfortably behind the same CI/CD pipelines as everything else we ship.
React & Angular
Interfaces that match the pace of the backend behind them — component-driven React or Angular front ends, responsive from a small phone to a wide desktop monitor, built for real content, not placeholder lorem ipsum.