Services

AI, cloud and software, delivered by one team.

Every engineer on our team is AWS Solutions Architect – Professional certified. Below is what we do, and what you get at the end of each piece of work.

AI solutions

AI that takes real work off your team

We build AI systems that run in production: agents that resolve requests, models that inspect images, and generative AI grounded in your own data. One agent we built handles 80–90% of a client's support requests.

AI agents

Agents that answer from your knowledge base and complete routine actions in your systems, with a clear hand-off to people.

You receive
  • Agent design and guardrails
  • Integrations with your tools
  • Quality and escalation reporting

Computer vision

Models that detect, classify and locate what matters in images and video, such as defects on solar panels.

You receive
  • Data preparation and labelling
  • Trained and evaluated model
  • Deployment pipeline

Generative AI on your data

Search, summarisation and drafting tools grounded in your documents, deployed in your own cloud account.

You receive
  • Retrieval pipeline over your data
  • Evaluation set and accuracy report
  • Access controls

AI discovery

Working out where AI will pay off before you spend on building it, including when conventional software is the better answer.

You receive
  • Use-case shortlist with expected impact
  • Feasibility and data review
  • Build plan
Cloud & AWS

AWS infrastructure your team can run with confidence

We design, migrate and automate AWS environments around the AWS Well-Architected Framework, with security and cost designed in from the start.

Platform architecture

Multi-account AWS foundations, networking, identity and security guardrails sized for where you are going.

You receive
  • Architecture diagrams and decision records
  • Landing zone and account structure
  • Security baseline

Migration to AWS

Moving workloads from on-premises or other clouds with a tested cut-over plan and minimal downtime.

You receive
  • Workload assessment and migration plan
  • Rehearsed cut-over and rollback
  • Post-migration tuning

DevOps & infrastructure as code

Repeatable environments and deployment pipelines so releases are routine, not events.

You receive
  • Terraform or CDK codebase
  • CI/CD pipelines
  • Monitoring, logging and alerting

Cost optimisation

Finding where spend and value have drifted apart, fixing it, and keeping it fixed. One recent client cut AWS spend by around 22%.

You receive
  • Spend breakdown by workload
  • Prioritised savings plan
  • Tagging, budgets and alerts
Software development

Software built cloud-native from day one

Web platforms, APIs and internal tools designed to run well on AWS, with the same engineers responsible for the code and the infrastructure underneath it.

Web applications

Customer-facing platforms and SaaS products, from first release to scale.

You receive
  • Production-ready application
  • Automated tests
  • Deployment on AWS

APIs & integrations

Connecting your systems, partners and data with reliable, documented APIs.

You receive
  • API design and documentation
  • Integration with third-party systems
  • Monitoring

Internal tools & dashboards

Tools that replace spreadsheets and manual steps for operations and finance teams.

You receive
  • Workflow mapping
  • Role-based access
  • Reporting dashboards

Product engineering

Building your own product with you, the way we built Edupath, our AI course recommendation platform.

You receive
  • Product roadmap
  • Iterative releases
  • Analytics and feedback loop

Ways to start

Short, fixed-scope engagements with a written result. Useful on their own, and the usual first step before a larger project.

1–2 weeks

Architecture & security review

A review of your AWS environment against the Well-Architected pillars.

You receive: A written report with prioritised fixes for security, reliability and performance.

1–2 weeks

Cost optimisation assessment

A breakdown of where your AWS spend goes and where it can come down.

You receive: Quick wins you can apply immediately and a plan for longer-term savings.

2–3 weeks

AI discovery sprint

Identify the AI use cases that will pay off for your business and test feasibility on your data.

You receive: A shortlist of use cases, a feasibility assessment and a build plan.

How we work

The same four phases on every project, sized to the work. You always know what is being built and what comes next.

01

Discover

1–2 weeks

Understand your systems, constraints and goals. Agree on scope and how success will be measured.

02

Design

1–2 weeks

Architecture, security and cost design, documented and reviewed with your team before building.

03

Build

Phased delivery

Short phases, each ending in a working, reviewable increment. Infrastructure as code throughout.

04

Operate

Ongoing

Run and improve it with you, or hand over with documentation and a walkthrough.

Have an AI, cloud or software project in mind?

Book a 30-minute technical call with one of our engineers. We'll look at what you're building, suggest a sensible next step, and tell you plainly if we're not the right fit.

Book a technical call