The products you want to build.The systems your business needs.

Product engineering, AI, and infrastructure. From the first architecture decision to production.

01ExperienceWhat people use.
02LogicWhat makes it work.
03OperationsWhat keeps it running.

Selected work

Engineering in practice.

Selected platforms that bring product experience, domain logic, and complex workflows together.

Marketplace engineering

01

NatSnap

A marketplace connecting species-led discovery, provider operations, reservations, and payments.

Transactional systems · Full-stack development

AI assessment systems

02

PrepLingo

An exam preparation system combining conversational AI, multidimensional assessment, and personalized learning workflows.

AI engineering · Product development

Specialist software

03

RehabEvo

A clinical knowledge system connecting concepts, evidence, assessment instruments, and tools.

Knowledge systems · Noncommercial project

Capabilities

Products. Systems. Infrastructure.

Build a platform, connect critical workflows, develop an AI product, or evolve your architecture.

01

Product & platform engineering

From user experience to business logic, we engineer the application, data, and administration behind a complete platform.

Marketplaces · SaaS · Portals · Internal products

02

Systems & integrations

Connect applications, data, and transactions, with clear rules for permissions, state changes, exceptions, and reconciliation.

APIs · Payments · Transactional workflows

03

AI & machine learning

Connect models to business data and production infrastructure, with orchestration, evaluation, deployment, and monitoring built into the system.

AI engineering · ML · Data & infrastructure

04

Architecture, cloud & security

Design and evolve application and cloud architecture, with security, deployment, and operational requirements considered together.

Solutions architecture · Cloud infrastructure · Modernization

Technology, in context

Built to work with your stack.

Starting fresh or building on what is already there, we choose technology around the system you need to run.

Web and mobile interfaces connected to application services, an AI module, a database, and cloud infrastructure.

Keep what works.
Engineer what comes next.

Languages
  • TypeScript
  • JavaScript
  • Python
  • Java
  • C#
  • Go
  • C++
  • SQL
Web & application development
  • React
  • Next.js
  • Node.js
  • .NET
  • Spring
  • Django
Data & storage
  • PostgreSQL
  • MongoDB
  • Redis
  • MySQL
  • SQLite
  • Elasticsearch
AI & machine learning
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • OpenCV
  • ONNX
Cloud & runtime
  • AWS
  • Azure
  • Docker
  • Kubernetes
  • Terraform
  • Linux

A working toolkit. Never a fixed stack.

Our approach

From architecture to production.

For a build engagement, from architecture to release. A focused Sprint can resolve the decisions that come first.

  1. 01

    Understand

    Map the people, workflows, and constraints. Define what a useful result looks like.

    Output

    Problem definition & success criteria

  2. 02

    Decide

    Compare options. Agree on the first useful scope and record the tradeoffs.

    Output

    Architecture direction & milestones

  3. 03

    Build & verify

    Deliver reviewable increments. Check the critical journeys against agreed criteria.

    Output

    Working software & acceptance evidence

  4. 04

    Release & evolve

    Prepare deployment, documentation, and ownership. Make the next change easier.

    Output

    Release & handover plan

Work with us

Three ways to work together.

A focused technical decision, a complete platform, or ongoing engineering alongside your team.

Questions & answers

Before we build.

Scope, systems, and working together. Here’s where to begin.

01Can you take responsibility for a complete platform?

Yes. An engagement can cover product architecture, application development, integrations, and infrastructure. We agree the scope, delivery responsibilities, and operating arrangements at the outset.

02Can you work with our existing systems and team?

Yes. A forward-deployed engagement brings engineering alongside your team and domain experts, from understanding workflows to integrating and deploying the solution. We agree the remit, responsibilities, and working arrangements together.

03What does an AI engagement involve?

We design the product workflow, data connections, model orchestration, and infrastructure together. Scope can include retrieval, evaluation, inference deployment, and monitoring, according to the use case.

04Are you tied to a particular stack?

Technology choices follow the system requirements and your existing environment. We work across application, data, integration, and infrastructure layers, and agree the approach during technical discovery.

05Do we need a complete specification?

No. Bring the business context, the system or product you want to build, and the decisions still unresolved. Discovery can establish the architecture, scope, and delivery plan.

06What happens after we contact you?

We review your inquiry and reply by email. The next discussion establishes the scope, technical context, and the right way to work together.

Have a project in mind?

What are you building next?

Tell us about the product, system, or technical challenge. Share where you are today and what needs to happen next.

We’ll review your inquiry and reply by email.

Start a conversation