Capabilities

Ten capabilities. One accountable team.

From the first process workshop to the last line of test automation, every capability below is delivered in-house and works as one practice.

In your language

Explained for leaders and engineers alike.

Generative AI that earns its keep

Generative AI development that reads your business, not just the internet.

Think of it as a sharp new colleague who has read every contract, SOP and ticket you have ever written, answers in seconds, and never leaks a secret. We find where AI saves real hours or real money, prove it in a pilot, and then scale what works.

  • Answers grounded in your documents, with citations
  • Measured accuracy before go-live, not after
  • Predictable cost per conversation
  • Data stays in your cloud or on-prem
Go deeper into AI & LLM Engineering

Technology

Tech-agnostic by design. Engineered to perform.

We don’t sell a favourite stack. Our engineers work across modern and legacy technology, and we choose, combine and optimise whatever fits your problem, your team and your budget.

  • 01

    Design before code

    We map the business process and the architecture first. The stack follows the problem, never the other way round.

  • 02

    Right tool, not the trendy one

    Today’s LLMs and agentic AI sit alongside the Oracle, SQL Server and Gupta systems your business still runs on.

  • 03

    Optimised engineering

    Performance, cost and maintainability are designed in and measured, whether it runs on a hyperscaler or a lean VPS.

AI & agents

  • LLMs (Claude, GPT, Llama, Mistral)
  • Agentic AI
  • Multi-agent workflows
  • RAG
  • pgvector
  • Vector search
  • LLM evaluation

Languages & frameworks

  • .NET Core
  • Node.js
  • Python
  • Rust
  • PHP
  • Java
  • TypeScript
  • Angular
  • React
  • Next.js

Mobile

  • Flutter
  • React Native
  • Android (Kotlin)
  • iOS (Swift)
  • Server-driven UI

Databases

  • PostgreSQL
  • MySQL
  • Microsoft SQL Server
  • Oracle
  • MongoDB
  • SQLBase (Gupta)
  • PostGIS
  • pgvector

Data & analytics

  • ETL / ELT architecture
  • Data engineering
  • Databricks
  • ClickHouse
  • Spark
  • Kafka
  • Airflow
  • dbt
  • OLAP

Cloud & DevOps

  • AWS
  • Azure
  • Google Cloud
  • Custom VPS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • Observability

Architecture

  • Microservices
  • Event-driven
  • Modular monoliths
  • Serverless
  • REST & GraphQL APIs
  • Legacy modernization

Quality engineering

  • SDET
  • Test automation
  • Playwright
  • Selenium
  • Appium
  • API & contract testing
  • Performance testing

…and whatever your roadmap needs next. If it runs your business, we can engineer around it.

From ideation to market

A journey we walk with you, not for you.

Whether you are a first-time founder or a fifty-year-old enterprise, the path is the same: understand, prove, build right, launch loud, then keep getting better.

  1. 1

    Ideate

    Week 0-1

    Workshops to sharpen the problem, the customer and the business model.

  2. 2

    Validate

    Week 1-3

    Process mapping, user interviews, clickable prototypes and a measured baseline.

  3. 3

    Design

    Week 2-4

    Clean UX, a lean architecture and a release plan sized to your runway.

  4. 4

    Build & assure

    Week 4-12

    Two-week sprints with QA embedded from the first commit, with demos you can touch.

  5. 5

    Launch

    Go-live

    SEO-ready, observable, secure releases with analytics wired in from day one.

  6. 6

    Scale

    Ongoing

    Measure, learn and iterate, then grow the team and the platform as traction compounds.

Have an idea, a process to fix, or a system to modernize?

Tell us where you are. We’ll reply within one business day with honest next steps, even if they don’t involve us.