Ooplab Logo

What we do

Every discipline needed to take a product from idea to scale.

Ooplab is a full-stack product studio. Strategy, design, engineering and the platform work underneath — delivered by one team, under one roadmap, with no handoffs between agencies.

Services across five practices
22
Weeks to a working MVP
6–10
Sprint cadence, always deployed
2wk
Source code and IP handed over
100%

Capabilities

The full catalogue

Most engagements combine several of these. Filter by practice to see what sits where, or talk to us and we will shape the mix around the outcome you are after.

22 services shown

01

Engineering

Web Application Development

Production web applications built for speed, accessibility and scale — from dashboards and portals to full multi-tenant SaaS.

  • Server-rendered app with sub-second navigation
  • Role-based access and multi-tenant data isolation
  • Component library and CI/CD pipeline
Next.jsReactTypeScriptPostgreSQL
02

Engineering

iOS Development

Native iPhone and iPad apps that feel like they belong on the platform — fluid, offline-capable and App Store ready.

  • Native SwiftUI application
  • Offline-first sync and push notifications
  • TestFlight beta and App Store submission
SwiftSwiftUICore DataCloudKit
03

Engineering

Android Development

Native Android apps engineered for the full spread of real devices, not just flagships — tested down to entry-level hardware.

  • Jetpack Compose application
  • Background work and offline persistence
  • Play Console release and staged rollout
KotlinJetpack ComposeRoomCoroutines
04

Engineering

Mobile Application Development

One cross-platform codebase shipping to both stores, with native modules wherever the experience genuinely needs them.

  • Shared iOS and Android codebase
  • Native modules for camera, biometrics and payments
  • Over-the-air update channel
React NativeExpoFlutterTypeScript
05

Engineering

Custom Software Development

Systems shaped around how your business actually works, for the operations no off-the-shelf product will ever fit.

  • Domain model and technical architecture
  • Bespoke internal tooling and admin surfaces
  • Migration from spreadsheets or legacy systems
Node.jsPythonPostgreSQLRedis
06

Engineering

API & Backend Engineering

The layer everything else depends on: typed, versioned, documented APIs that stay fast as load and team size grow.

  • REST and GraphQL APIs with generated clients
  • Event-driven services and queue workers
  • OpenAPI documentation and contract tests
Node.jsGoGraphQLKafka
07

Engineering

Enterprise Systems Integration

Connecting ERP, CRM, payments and internal services into one coherent flow, so data stops being re-keyed between systems.

  • Integration architecture and data contracts
  • Resilient connectors with retry and reconciliation
  • Audit logging and failure alerting
SAPSalesforceWebhooksRabbitMQ
08

Design

User Experience Design (UED)

Research, flows and prototypes that settle the hard product questions before a line of production code is written.

  • User research and journey mapping
  • Interactive prototypes for validation
  • Usability testing with findings and fixes
FigmaMazeJourney mappingA/B testing
09

Design

UI Design & Design Systems

Interface design plus the system behind it — tokens, components and rules, so the tenth screen is as considered as the first.

  • Design system with tokens and components
  • Light and dark themes, accessibility built in
  • Figma-to-code component parity
FigmaStorybookTailwindRadix
10

Design

Web Design

Marketing sites that carry the brand and convert — fast, responsive, and genuinely distinctive rather than templated.

  • Responsive design across every breakpoint
  • Motion and interaction specification
  • CMS-ready page and content models
FigmaNext.jsGSAPSanity
11

Design

Brand & Visual Identity

The identity layer — mark, palette, type and voice — documented well enough that anyone can apply it without you in the room.

  • Logo system and colour architecture
  • Typography scale and usage rules
  • Brand guidelines and asset library
IllustratorFigmaType systemsGuidelines
12

Intelligence

AI & LLM Integration

Language models wired into your product where they earn their place — grounded in your data, evaluated, and cost-controlled.

  • Retrieval pipeline over your own content
  • Evaluation harness and quality guardrails
  • Token cost monitoring and caching
Claude APIRAGVector searchEvals
13

Intelligence

Data Engineering & Analytics

Pipelines, warehouse and dashboards that make the numbers trustworthy enough to actually decide on.

  • ETL pipelines and warehouse modelling
  • Product analytics instrumentation
  • Executive dashboards and alerting
BigQuerydbtAirflowMetabase
14

Intelligence

Workflow Automation

Removing the manual steps between systems — the recurring copy-paste work that quietly consumes a team's week.

  • Process audit and automation roadmap
  • Automated workflows with human approval gates
  • Exception handling and monitoring
Temporaln8nWebhooksCron
15

Platform

Cloud Architecture & DevOps

Infrastructure as code, environments that match, and deploys that are boring — because deploys should be boring.

  • Infrastructure as code across all environments
  • CI/CD with preview deployments
  • Observability, logging and on-call alerting
AWSTerraformDockerKubernetes
16

Platform

Software Testing

Automated coverage across unit, integration and end-to-end — the safety net that lets a team ship on Friday.

  • Test strategy and coverage targets
  • End-to-end suites running in CI
  • Visual regression and load testing
PlaywrightVitestk6GitHub Actions
17

Platform

Security & Compliance Engineering

Threat modelling, hardening and audit trails — built in from the start rather than bolted on before a certification deadline.

  • Threat model and dependency auditing
  • Authentication, authorisation and encryption review
  • SOC 2 / GDPR / HIPAA readiness
OWASPSnykAuth0Vault
18

Platform

Performance Engineering

Making an existing product measurably faster, with Core Web Vitals and database time as the scoreboard.

  • Performance audit with prioritised findings
  • Core Web Vitals remediation
  • Query optimisation and caching strategy
LighthouseOpenTelemetryRedisCDN
19

Advisory

Digital Product Strategy

Turning an ambition into a sequenced roadmap — what to build, in what order, and just as importantly what to leave out.

  • Market and competitor analysis
  • Product roadmap with release sequencing
  • Success metrics and measurement plan
DiscoveryRoadmappingOKRsAnalytics
20

Advisory

MVP & Rapid Prototyping

A real, usable product in front of real users in weeks — built to be extended, not thrown away.

  • Working MVP in six to ten weeks
  • Core flow instrumented for learning
  • Architecture that survives the next phase
Next.jsSupabaseVercelStripe
21

Advisory

Technical Due Diligence

An independent read on a codebase before you acquire, invest in, or take ownership of it.

  • Code quality and architecture assessment
  • Security, licence and dependency risk register
  • Remediation estimate and team evaluation
Static analysisArchitecture reviewRisk register
22

Advisory

Managed Support & SLA

Ongoing ownership after launch — monitoring, patching and iteration under a response time you can hold us to.

  • Defined response and resolution SLAs
  • Proactive monitoring and dependency updates
  • Monthly roadmap and iteration cycle
PagerDutySentryDependabotRunbooks

How we work

Five phases, no surprises at the end

Every engagement runs the same shape. You see working software from the third week onward, and you own everything we write.

  1. 01

    Discover

    1–2 weeks

    We map the problem, the users and the constraints, and agree what success will be measured by.

  2. 02

    Design

    2–4 weeks

    Flows, interfaces and a clickable prototype — validated with real users before engineering begins.

  3. 03

    Build

    6–16 weeks

    Two-week sprints with a working, deployed increment at the end of each one. Nothing is a surprise at the end.

  4. 04

    Launch

    1–2 weeks

    Hardening, load testing, store submission and a monitored rollout with a rehearsed rollback plan.

  5. 05

    Scale

    Ongoing

    Iteration against real usage data, performance work, and capacity that grows with the product.

Engagement models

Three ways to work with us

The right structure depends on how settled the scope is and how much technical leadership you already have in house.

An embedded team

Dedicated Squad

A cross-functional squad — engineering, design and QA — working as an extension of your team on a monthly basis.

  • Fixed monthly capacity
  • Your tools, your rituals, your board
  • Scale the squad up or down each quarter

Best for: Funded teams with a continuous roadmap

A defined outcome

Fixed-Scope Build

A specified deliverable against an agreed timeline and price, with milestones and acceptance criteria written up front.

  • Priced and scoped before we start
  • Milestone-based delivery and payment
  • Handover package and documentation

Best for: Well-defined projects with a hard deadline

Senior ownership, part-time

Fractional CTO

Technical leadership without a full-time hire — architecture decisions, hiring, vendor selection and code review.

  • Architecture and technology decisions
  • Engineering hiring and interviewing
  • Code review and delivery oversight

Best for: Early-stage teams without a senior technical lead

Tell us what you are trying to build

A thirty-minute call is usually enough to tell you whether we are the right studio for it — and what it would realistically take.

Book a consultation