FlaxvinTechnologies

Home › Services

Services

Full-lifecycle engineering, from definition to production support.

Twelve service lines, delivered by one team under one accountable contract. Engage us for a single service or the complete lifecycle; internal handoffs remain our responsibility, not yours.

Service lines

Twelve capabilities, delivered by one accountable team.

Each entry below states the scope of inclusion and the technologies typically applied. Services may be combined as the project requires; the coordination overhead is ours.

Custom Software Development

Systems built around your operating model rather than the constraints of an off-the-shelf tool you have outgrown.

What's included

  • Domain and workflow discovery with your operators
  • Architecture, data model and integration design
  • Full-stack build in two-week increments
  • Role-based access, audit trails and reporting
  • Migration from spreadsheets or legacy tools
  • Handover documentation and team training

Typical stack

TypeScriptNode.jsPythonJavaPostgreSQLReact

Web Application Development

Fast, accessible, SEO-sane web products — dashboards, portals, marketplaces and internal tools that hold up under real traffic.

What's included

  • Component library and design-system setup
  • Server-side rendering and Core Web Vitals budgets
  • Authentication, billing and multi-tenancy
  • Admin consoles and back-office tooling
  • WCAG 2.2 AA accessibility pass
  • Analytics and event instrumentation

Typical stack

ReactNext.jsVueNuxtTailwindtRPC

Mobile App Development

iOS, Android and cross-platform apps taken all the way through store review — including the offline, push and release plumbing most teams underestimate.

What's included

  • Native iOS (Swift) and Android (Kotlin) builds
  • Cross-platform with React Native or Flutter
  • Offline-first sync and conflict resolution
  • Push notifications, deep links and in-app updates
  • App Store and Play Store submission support
  • Crash reporting and release-train setup

Typical stack

SwiftKotlinReact NativeFlutterFirebaseFastlane

Cloud & DevOps

Infrastructure you can reason about: reproducible environments, boring deploys, and a cost line that stops surprising your CFO.

What's included

  • Infrastructure as code from day one
  • CI/CD pipelines with automated gates
  • Containerisation and orchestration
  • Observability: logs, metrics, traces, alerting
  • Cost review and right-sizing
  • Backup, DR and incident runbooks

Typical stack

AWSAzureGCPTerraformKubernetesGitHub Actions

API & Systems Integration

Making your systems agree with each other — ERPs, CRMs, payment rails, logistics partners and the in-house service nobody wants to touch.

What's included

  • API design (REST, GraphQL, gRPC) and versioning
  • Third-party and partner integrations
  • Event-driven and queue-based messaging
  • Idempotency, retries and reconciliation logic
  • Integration test harnesses and sandboxes
  • API gateway, rate limiting and developer docs

Typical stack

RESTGraphQLKafkaRabbitMQKongOpenAPI

Data Engineering & Analytics

Pipelines and models that make your numbers trustworthy, so decisions stop being argued from three conflicting spreadsheets.

What's included

  • Warehouse and lakehouse architecture
  • Batch and streaming ingestion pipelines
  • Dimensional modelling and semantic layers
  • Data quality tests and lineage
  • Executive and operational dashboards
  • Governance, PII handling and retention rules

Typical stack

SnowflakeBigQuerydbtAirflowSparkPower BI

AI & ML Integration

Applied AI with a job to do — document extraction, assistants, search, forecasting — scoped against a measurable baseline, not a demo.

What's included

  • Use-case shortlisting and feasibility spikes
  • RAG pipelines over your own content
  • LLM integration, prompt and tool design
  • Evaluation harnesses and regression sets
  • Classical ML for forecasting and scoring
  • Guardrails, cost controls and human review loops

Typical stack

PythonPyTorchLangChainVector DBsHugging FaceMLflow

UI/UX & Product Design

Interfaces designed from real user tasks and edge cases — including the empty, error and loading states that decide whether people trust the product.

What's included

  • User research and journey mapping
  • Information architecture and flows
  • Wireframes through high-fidelity UI
  • Design system and token library
  • Prototypes for usability testing
  • Developer handoff with specs and states

Typical stack

FigmaStorybookDesign tokensWCAG 2.2MazeFramer

QA & Test Automation

A test suite your team actually trusts, so releases stop depending on one person remembering what to click.

What's included

  • Test strategy and risk-based coverage plan
  • Automated E2E, API and unit layers
  • Regression packs wired into CI
  • Performance and load testing
  • Accessibility and cross-browser checks
  • Defect triage and quality reporting

Typical stack

PlaywrightCypressJestpytestk6Appium

Maintenance & Support

Post-launch ownership with named engineers, defined response times and a monthly report you can forward to your board.

What's included

  • Tiered SLAs with agreed response targets
  • Proactive monitoring and alert response
  • Security patching and dependency upgrades
  • Small enhancements inside a monthly pool
  • Quarterly health and roadmap reviews
  • Knowledge base kept current, not stale

Typical stack

PagerDutySentryGrafanaDatadogSnykStatuspage

Legacy Modernisation

Moving off aging platforms without a big-bang rewrite — strangler-fig migrations that keep the business running while the foundation changes underneath.

What's included

  • Codebase, data and risk assessment
  • Modernisation roadmap with sequencing
  • Incremental strangler-fig migration
  • Data migration with reconciliation checks
  • Re-platforming from on-prem to cloud
  • Parallel-run and cutover planning

Typical stack

Strangler pattern.NETJavaDockerPostgreSQLAzure

Dedicated Teams & Staff Augmentation

Vetted engineers embedded in your process, your stand-ups and your repo — scaling up or down on 30 days' notice.

What's included

  • Role profiling and shortlist within 2 weeks
  • You interview and approve every engineer
  • Works in your tools, your ceremonies
  • Optional delivery lead and QA in the pod
  • Monthly velocity and quality reporting
  • Clean IP assignment and exit handover

Typical stack

ScrumKanbanJiraLinearSlackGitHub

Getting started

Three common points of entry.

Start with one problem

Most clients begin with a single, well-bounded piece of work — an integration, an MVP, a migration. It is a low-risk way to find out how we operate before committing to a roadmap.

Grow into a pod

When the work becomes continuous, the same engineers convert into a dedicated team. No re-onboarding, no lost context, no second discovery phase.

Or hand it back

Every engagement is built to be handed over. Documentation, tests and runbooks are deliverables — if you take it in-house, your team can carry it.

Undecided on scope?

Describe the problem rather than the solution. We will set out the approach we would take, including where our assessment is that external engineering is not required.