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Application Development

Products people transact with, depend on and trust.

Web platforms, mobile apps, SaaS and connected devices, designed and engineered by one team. An AI-driven delivery loop takes the product from first commit to production, then keeps it improving.

  • Web platforms and SaaS
  • iOS, Android and cross-platform
  • Product and interaction design
  • APIs and integrations
  • Cloud, DevOps and scale
  • QA and test automation
Bring us the problem↗

01Point of view

Design and engineering in one team, on one loop. From first commit to production, then it keeps improving.

02Architecture

One app.
Five layers deep.

  • Interface: Web, mobile and device UI, design systems, accessibility and motion.
  • API and integrations: Versioned REST and GraphQL APIs, payments, identity, webhooks, and the partner and legacy systems a product has to talk to.
  • Data: Schemas and transactional stores, search, caching, analytics events and the migrations that keep them honest.
  • Cloud and infrastructure: Infrastructure as code, containers, environments, CI/CD and scaling, with security and cost watched from day one.
  • Observability: Logs, metrics, traces, alerting and performance budgets, so we see a problem before your customers do.

03Surfaces

One booking.
Five surfaces.

Example bookingBooked

Web platform

Where the transaction starts. Responsive, fast, accessible and found by search.

Mobile app

Native feel on iOS and Android. Offline-aware, push-driven, in the pocket.

Wearable

Glanceable moments on the wrist: haptics, sensors and the one thing that matters now.

Kiosk and console

Shared, touch-first hardware in the physical world, built to survive real use.

Admin and back office

The operator's view: queues, roles, audit trails and reporting behind every screen.

Same discipline,
five domains.

  • Commerce and Finance
  • Digital Experience, Media and Growth
  • Health, Care and Wellbeing
  • Operations, Industry and Logistics
  • Physical and Connected Environments

Illustrative product · one API, one design system, every screen

04AI-driven SDLC

We run on what we build. The whole SDLC is AI-driven.

FinishLine is our agentic project management operating spine. It connects intent, planning, execution, evidence and delivery across the company, while specialist AI tools augment every discipline. People own the decisions; agents shorten the loop.

finishline · example run
$ finishline run --brief "hard problem"
› brief requirements captured ✓
› plan agentic planning ✓
› design design system synced ✓
› build ai-aided code ✓
› review automated review passed ✓
› release continuous delivery ✓
● evidence logged · intent → delivery connected
  1. Brief
  2. Plan
  3. Design
  4. Build
  5. Review
  6. Release

05Capabilities

Six disciplines, one team.

Designers, engineers and QA in the same squad, on the same loop.

Web platforms and SaaS

SaaS products, marketplaces, portals and dashboards built for real load. Server-rendered where it matters, typed end to end, multi-tenant when it needs to be.

Deliverables

  • ■Product architecture
  • ■Web front ends
  • ■Auth, roles and billing
  • ■Admin and back office

iOS, Android and cross-platform

Native Swift and Kotlin when the device matters, React Native or Flutter when one codebase should serve both. We choose per product, not per habit.

Deliverables

  • ■iOS and Android apps
  • ■Offline and sync
  • ■Push and deep links
  • ■Store release and updates

Product and interaction design

Research, flows, prototypes and design systems, made by designers who sit with the engineers, so what ships is what was designed.

Deliverables

  • ■Discovery and user flows
  • ■Interactive prototypes
  • ■Design system and tokens
  • ■Accessibility and motion

APIs and integrations

Clean, versioned APIs and the unglamorous plumbing: payments, identity, ERPs, CRMs, hardware and the legacy systems nobody wants to touch.

Deliverables

  • ■REST and GraphQL APIs
  • ■Payments and identity
  • ■Webhooks and event streams
  • ■Partner and legacy integrations

Cloud, DevOps and scale

Infrastructure as code, reproducible environments and pipelines that ship small changes often, with cost, security and uptime watched from the first deploy.

Deliverables

  • ■Cloud architecture
  • ■CI/CD pipelines
  • ■Containers and IaC
  • ■Monitoring and alerting

QA and test automation

Tests written alongside features: unit, integration and end to end. AI agents widen the coverage, people own the judgement and the release gate.

Deliverables

  • ■Test strategy
  • ■End-to-end suites
  • ■Regression and device testing
  • ■Release gates

06Stack

Right tool, per product.

We pick the stack for the product, the team that will own it and the decade it has to last. These are the tools we reach for most, not a fixed stack.
  • Next.js✕
  • React✕
  • TypeScript✕
  • React Native✕
  • Swift✕
  • Kotlin✕
  • Flutter✕
  • Node.js✕
  • Go✕
  • Python✕
  • PostgreSQL</>
  • Redis</>
  • GraphQL</>
  • AWS</>
  • Google Cloud</>
  • Vercel</>
  • Docker</>
  • Kubernetes</>
  • Terraform</>
  • Playwright</>

07FAQ

Questions, answered.

Something else on your mind? Write to hey@asymmetri.in.

  • It depends on where your users are and what the product needs from the device. A responsive web platform reaches everyone fastest and is easiest to change. Native iOS and Android, in Swift and Kotlin, is the right call when performance, hardware access or platform feel matter most. Cross-platform frameworks such as React Native or Flutter suit products that need both stores from one codebase. Asymmetri recommends per product after discovery, and many products end up with a web platform, a mobile app and an admin back office sharing one API.

  • It depends on scope, integrations and how much is already decided. In discovery we agree the smallest first release that proves the product, then plan the work in short increments so you see working software early and often rather than at the end. Our AI-driven delivery loop shortens the time from decision to deployed code, but the honest answer comes from a scoped plan, which we give you before the build starts.

  • The whole software delivery lifecycle is AI-driven. FinishLine, our own agentic project management platform, connects requirements, planning, execution, evidence and delivery. Engineers and designers work with tools such as Claude Code, Codex, Cursor and Figma AI for planning, code, review and test generation, and GitHub Actions runs continuous delivery. People stay accountable for architecture, review and every release decision; AI shortens the loop around them.

  • Yes. We start with a technical audit of the code, infrastructure, tests and delivery process, then share what is solid, what is risky and what to fix first. From there we stabilise, add tests and observability, and keep shipping features while we improve the foundations, so the product never has to stop for a rewrite.

  • Get in touch through the contact page or at hey@asymmetri.in with the problem you are solving. We begin with a short discovery to frame the product, the users and the constraints, and come back with an approach, a first release and a team shape. Design and engineering then work as one team from the first commit to production and beyond.

08Next practice

Technology Consulting↗

Frame the hard problem. Architect the answer.

Bring us the product. We'll design it, build it and run it.

Get in touch ↗Join our team