AI application development services for apps people use Web and mobile apps with AI inside, built around your users' work
AI app development services, from a first release to scale The app your users open, with the AI built into their work
How we build an AI application From the user's day to a first release, then a release every few weeks
- Week 1Watch the workWe sit with the people who'll use the app and write down where their time goes.
- Week 2Check the dataWe confirm the data the AI needs exists, and agree how the app reaches it.
- Weeks 3 to 4Design the appScreens your users test, and the model or LLM behind each AI feature.
- Weeks 5 onShip a first releaseA working app with real users, integrated and tested, then improved from their use.
When AI application development is the right fit And when AI inside a tool you already run is enough
A good fit when
- A team does a job no off-the-shelf app supports well
- Your customers or field staff need an app, and AI would save them steps
- A prototype works, and now it needs to work for everyone
Look elsewhere when
- The work happens in Teams or your CRM: add an agent there instead
- You need a model or forecast, not a new screen
- Nobody can say which job the app is for yet
Our AI application development in detail The kinds of AI apps we build, and how each one reaches production
Custom AI app development
A custom AI app starts from one group of users and the job they do. We design the screens around their day and add AI only where it saves them a step, such as reading a document, filling a form, or suggesting the next action.
We build web apps in React and Next.js, and mobile apps for iOS and Android, so the app fits wherever your users work.
Generative AI and LLM app development
Large language models let an app draft a reply, summarize a case file, or answer a question from your policies. We choose the model, such as Claude, GPT or Gemini, ground its answers in your own documents, and show the user where each answer came from.
Every answer the app gives can be traced, and anything that changes a record needs the user's OK.
Edge AI development
Some apps run where the connection is poor: a warehouse floor, a farm, an inspection site. Edge AI runs the model on the phone or device itself, so it answers in a fraction of a second and works offline. The data syncs when the device is back in signal.
AI integration and enhancement for existing apps
You may not need a new app. We add AI to the one your users already know, through APIs and services, so it reads, suggests or automates without changing how people work.
AI application modernization
Older applications are hard to add AI to. We modernize them one part at a time, opening the data through APIs and rebuilding the screens that matter most, so AI features can be added without a full rewrite.
Predictive analytics app development
Some apps exist to show what's coming: demand by store, risk by customer, failures by machine. We build the model and the app around the decision it serves, and show how each prediction was worked out.
- Forecasts that update as new data arrives
- Alerts when a number moves outside its range
- Explanations a manager can read
Questions about AI application development What buyers ask us before they build an AI app
How do you develop an AI application?
Start with the business problem and the people who'll use the app. Check the data exists, choose the model, design and build the app, connect it to your systems, and test it with real users before launch. Then keep measuring and improving it.
How long does it take to build an AI app?
It depends on the use case, the data and the integrations. We agree the first release date in the plan, ship it to real users, and add to it every few weeks from what they do.
Do you build both the AI models and the full application?
Yes. We design and train or configure the models, build the app around them, deploy it, and run it afterwards, so you don't manage several vendors.
Do you build AI apps in the cloud?
Yes. We build on AWS, Azure and Google Cloud, cloud-native or hybrid, in your own account so your data stays under your control.
Which businesses gain most from AI application development?
Ones with a job that eats hours and no app that fits it: healthcare, finance, insurance, retail, logistics and real estate are common. The common thread is a lot of reading, checking or deciding that AI can prepare.
How will AI change application development?
Coding agents already write and test much of the code. Our engineers use Claude Code, Codex and GitHub Copilot, and they review and sign every change, so apps ship sooner without losing control of quality.
Tell us who the app is for
We'll sketch the first release around their day and show you where AI saves them time.