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Visiontact

App Development

AI-powered apps, built for production from the first sprint.

We design and build web and mobile applications with AI at their core — from intelligent internal tools to customer-facing platforms — with the testing, monitoring and security a production system needs.

  • Web, iOS and Android
  • Your cloud, your code
  • Evaluation on every release
A product team working together on laptops around a table
Release cadenceEvery two weeks

The challenge

An AI feature is only as good as the app around it.

A model that works in a notebook still needs authentication, data pipelines, a usable interface, error handling and a way to tell when it starts getting things wrong.

We build the whole product: UX, front end, back end, integrations and the AI layer, delivered in fortnightly releases into your environment so you see working software early and often.

What you walk away with

  • A production application with source code you own
  • Automated tests and an AI evaluation suite
  • CI/CD pipelines and infrastructure as code
  • Monitoring, logging and alerting from day one
  • Documentation and a handover to your team
Discovery
2 weeks
Releases
Fortnightly
Team
PM, designer, engineers, ML
Platforms
Web, iOS, Android

Capabilities

What we deliver

Product & UX design

Research, wireframes and prototypes that make AI output understandable and easy to act on.

Web applications

Fast, accessible front ends in React and Next.js, backed by robust APIs.

Mobile apps

Native-feel iOS and Android apps, including on-device models where latency or privacy demand it.

AI feature integration

Recommendations, search, summarisation and prediction wired into the workflows people use.

APIs & integrations

Connections to your CRM, ERP, identity provider and data platform — no rip-and-replace.

MLOps & observability

Pipelines to retrain and redeploy models, with dashboards that show drift before users notice.

Use cases

Where it makes a difference

A code editor showing React source code on a dark screen
Engineering

Platforms built to stay maintainable

Clean, typed, tested code in mainstream frameworks, so your own engineers can extend the product after handover instead of rewriting it.

  • TypeScript, Python and modern frameworks
  • Code review and automated tests on every change
  • Infrastructure as code for repeatable environments
A designer sketching mobile app wireframes on paper
Product design

Interfaces people trust

AI output only helps if people understand it. We design screens that show confidence, sources and next steps — and make it easy to correct the system when it is wrong.

  • User research and journey mapping
  • Clickable prototypes before code
  • Accessibility built in, not bolted on

How we deliver

Four stages, no black box

  1. 12 weeks

    Discovery

    Users, workflows, data and integrations mapped; a scoped backlog with clear success criteria.

  2. 22–3 weeks

    Design

    Wireframes and a clickable prototype tested with real users before engineering starts.

  3. 3Fortnightly releases

    Build

    Working software into your environment every two weeks, reviewed with you each time.

  4. 4Ongoing

    Launch & support

    Go-live, monitoring, model retraining and an on-call path when something drifts.

Technology

Built on proven, mainstream tools

We choose technology for reliability and for how easily your team can run it after handover — not for novelty. Everything integrates with the systems you already use.

Check your stack with an engineer
React / Next.js
Node.js / Python
React Native / Swift
PostgreSQL / Redis
Docker / Kubernetes
AWS / Azure / GCP

Questions

App Development, answered

Something else on your mind? Ask our team.

Who owns the code?
You do. Everything we build lives in your repositories and runs in your cloud account, and you receive full source code and documentation at handover.
Can you work with our existing team?
Yes. We often work as a blended team alongside in-house engineers, following your coding standards and review process.
How do you test AI features?
Alongside normal unit and integration tests, every AI feature gets an evaluation suite of real examples. A release that makes the AI measurably worse fails the build.
Do you support the app after launch?
Yes. We offer ongoing support covering monitoring, bug fixes, model retraining and new features, or a structured handover if your team will take it from there.

Have an app idea with AI at the centre?

Tell us what it should do. We will come back with a scoped plan, a team and a first release date.

  • Web, iOS and Android
  • Your cloud, your code
  • Evaluation on every release