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Open It Tech
What we do

Software and applied AI, engineered for production

Seven practices covering a system's whole life — from working out what the business actually needs, through architecture, build, integration and deployment, to keeping it healthy once real users arrive.

01 — Service pillar

AI, data & intelligent systems

Full ai development detail

Applied AI/ML, retrieval-augmented generation, AI reliability evaluation, document processing, data platforms and analytics engineering.

  • RAG systems
  • Evaluation harnesses
  • Document intelligence
  • Data platforms & analytics

This is where our engineering depth is concentrated. Our deepest experience is in high-stakes AI integration, evaluation and data platform work — the parts that decide whether an AI feature survives contact with production.

What changes for you

  • Retrieval accuracy measured against a labelled benchmark, not judged by feel
  • Hallucination and latency budgets enforced before a change ships
  • Automated intelligence over your own documents and knowledge
  • Data foundations reliable enough that analytics and AI agree with each other
02 — Service pillar

Product & software engineering

Full software development detail

Custom web, mobile, desktop, backend microservices and internal enterprise platforms — built from scratch or assembled from modular components.

  • Product & module development
  • Internal tooling
  • Legacy modernisation
  • API design

We design and build software that fits how a business actually operates, rather than forcing operations to fit a product. Engagements run from a single module inside an existing codebase to a complete product built from nothing.

What changes for you

  • Software shaped around your operational workflow, not a template
  • A codebase your own engineers can pick up and extend
  • Sprint-based progress you can click through, not status decks
  • Tests, documentation and runbooks delivered with the code
03 — Service pillar

Product & experience design

Full design detail

Website, web app and mobile interface design — from research and wireframes through visual design, prototypes and a design system the engineering team can build against.

  • Website & app design
  • Design systems
  • Prototypes
  • Usability review

Design and engineering sit in the same team here, which means interfaces get designed against real constraints — actual data, actual latency, actual edge cases — instead of being handed over as pictures that turn out to be unbuildable.

What changes for you

  • A design system with components engineering can build against directly
  • Interfaces tested with real data, empty and error states included
  • Clickable prototypes for validating flows before anyone writes code
  • Accessible by default — contrast, focus order and keyboard paths checked
04 — Service pillar

Digital marketing & growth

Full digital marketing detail

Campaigns, landing pages, tracking and follow-up built as one enquiry system, measured on qualified leads rather than impressions.

  • SEO & content
  • Paid performance
  • Marketing analytics
  • Lifecycle & CRM

Marketing and engineering in one team. We connect your campaign, landing page, tracking and follow-up so you can review enquiry sources and what happened next, with gaps in attribution shown clearly.

What changes for you

  • Enquiry sources linked to channels and campaigns where tracking allows, with unknown sources shown
  • A defined follow-up route, with an automatic reply or assignment
  • Campaigns managed against cost per qualified lead, not cost per click
  • One view of your site, campaigns and CRM together
05 — Service pillar

Systems integration & automation

Full integration & automation detail

Disparate systems, external APIs, legacy software and enterprise databases connected into unified, reliable workflows.

  • API & webhook integration
  • Process automation
  • Data synchronisation
  • Migration tooling

Most operational pain is not missing software — it is software that does not talk. We map the real process, then build the integrations, reconciliation and error handling that make a workflow trustworthy from end to end.

What changes for you

  • Manual re-keying between systems removed
  • Consistent records across CRM, ERP and internal tools
  • Failures that alert someone instead of going unnoticed for weeks
  • Migrations run with reconciliation, so you can prove nothing was lost
06 — Service pillar

Cloud, DevOps & production engineering

Full cloud & devops detail

Infrastructure on AWS, GCP and Azure managed as code, with CI/CD automation, observability and tested rollback paths.

  • Terraform & IaC
  • CI/CD pipelines
  • Observability
  • Security hardening

We build the boring, dependable parts properly: reproducible environments, automated deployment, observability and rollback paths — so releases stop being events and become routine.

What changes for you

  • Environments rebuilt from code rather than remembered by one person
  • Automated deploys with health gates and tested rollback
  • Monitoring and alerting tied to user-visible symptoms
  • Cloud spend that is deliberate rather than accidental
07 — Service pillar

Architecture & technology consulting

Full technology consulting detail

Technical advisory, system audits, technology selection, cloud migration planning and resolution of scalability bottlenecks.

  • Architecture review
  • Technical due diligence
  • AI readiness assessment
  • Scaling plans

Senior engineers review what exists, model where it breaks, and produce a roadmap your team can execute — including the decisions to defer. No abstract strategy decks without an implementation path.

What changes for you

  • Risks identified and priced before they reach production
  • A sequenced roadmap, including what to deliberately defer
  • Technology choices matched to the requirement rather than the trend
  • An honest read on build versus buy, with the reasoning shown
Deep dive

AI, data and analytics capabilities in full

This is where our engineering depth is concentrated — the work we are most frequently engaged for.

Artificial intelligence & intelligent systems

Production AI work, from retrieval design through to the evaluation that keeps it honest.

Applied AI & intelligent systems

Production-grade RAG, conversational interfaces, intelligent search, recommendation engines, document intelligence and AI-assisted automation.

AI evaluation, reliability & optimisation

Structured evaluation of retrieval quality, response accuracy, model behaviour and latency, with automated validation and continuous improvement.

Intelligent document & knowledge systems

Automated extraction, embedding pipelines, semantic vector search, knowledge graphs and contextual access over structured and unstructured sources.

AI-enabled workflow automation

AI models integrated with business rules, APIs, databases and operational workflows to automate judgement-intensive processes.

Data, analytics & decision systems

The data foundations that make analytics — and AI — reliable enough to act on.

Analytics & decision intelligence

KPI frameworks, forecasting, segmentation, scoring engines, funnel analysis and real-time decision support that turn data into business value.

Predictive & statistical modelling

Statistical and machine-learning models for demand forecasting, classification, propensity scoring, risk assessment and behavioural analysis.

Data platforms & analytics engineering

Ingestion pipelines, transformations with dbt and Airflow, analytical modelling, metric standardisation, data quality assertions and analysis-ready datasets.

Operational intelligence

Real-time monitoring across customer journeys, operational funnels, process bottlenecks, exception tracking and automated anomaly detection.

Technical capabilities

The stack, chosen per problem

We select tools based on problem suitability, scalability requirements, budget efficiency and long-term maintainability — never on industry trends.

Application frontend

  • React
  • Next.js
  • Angular
  • TypeScript
  • Tailwind CSS

Mobile engineering

  • React Native
  • Flutter
  • Swift
  • Kotlin

Backend & microservices

  • Node.js
  • FastAPI
  • Django
  • Spring Boot
  • .NET Core

AI / ML stack

  • PyTorch
  • LangChain
  • LlamaIndex
  • Pinecone
  • Qdrant
  • Hugging Face

AI evaluation & testing

  • DeepEval
  • Ragas
  • TruLens
  • Custom harnesses

Data & analytics

  • PostgreSQL
  • MongoDB
  • Redis
  • Snowflake
  • Airflow
  • dbt
  • BigQuery
  • Databricks

Cloud & DevOps

  • AWS
  • Google Cloud
  • Azure
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions

Engineering practice

  • REST & GraphQL
  • Microservices
  • Automated testing
  • Datadog
  • Prometheus