AI app development
Apps and software with artificial intelligence built in, designed for real users: assistants, search across your documents, recommendations, or reading invoices and photos. And if you already have a prototype built with Lovable, Bolt or Cursor, we take it to production with one of the certified companies in our network.
Two ways to get started
AI app development has changed a lot in two years. These days we see as many projects arriving with a working prototype as projects starting from an idea.
You have the idea and the business case
We work out which parts of the product need AI and which don't, design the app, and the best-fit certified company builds it. AI goes where it adds value; it doesn't need to be on every screen.
You built it with an AI tool
The tools the industry now calls AI builders let you put together a working app in days. Getting it into production is another matter: security, database, payments, scaling and publishing to the app stores. That's where we come in. You'll find indicative prices further down this page.
AI features we build into apps
In-app assistant
A chat that knows the user and their data, and answers questions without them having to leave the app.
Answers from your documents
Natural-language search across manuals, contracts or product sheets, with the source cited (technically known as RAG).
Recommendations
Products, content or actions suggested according to each user's behaviour.
Reading documents and images
The app pulls the data from an invoice, an ID card, a delivery note or a photo and fills in the form for the user.
Voice
Transcription, dictation and voice commands, handy in field apps where the user's hands are busy.
Agents that take action
The AI completes tasks inside the app: it books, orders, files a claim or prepares a report. More on this in AI agent development.
What an AI-built prototype usually lacks
The prototype proves the idea works. Before paying customers can use it, you need pieces that AI tools either generate poorly or don't generate at all.
- Access control, user roles and personal data handled in line with the GDPR
- Automated tests and a test environment kept separate from production
- Spending limits on calls to the AI models
- Error monitoring and backups
- Publishing on the App Store and Google Play
- Code that another team can still maintain a year from now
How we work
Audit or scoping
If there's a prototype, it's audited in one or two weeks. If not, we define the features, the users and where AI adds value.
Proposals
We introduce you to several certified companies with experience in similar apps, each with a price and timeline.
Development in sprints
Demos every two weeks, so you can watch the app take shape and change priorities along the way.
Launch
User testing, publishing to the app stores and setting up monitoring.
Ongoing development
Maintenance, keeping AI spend in check and new features. Yeeply remains your point of contact.
How much does it cost to develop an AI app?
These ranges come from projects we've managed and from current market rates. For apps without AI, see our indicative prices.
| Project | Indicative price | Timeline |
|---|---|---|
| Technical audit of an AI-built prototype | €1,500–4,000 excl. VAT | 1–2 weeks |
| Finishing a simple AI-built app | €8,000–20,000 excl. VAT | 4–8 weeks |
| Finishing a mid-sized app (login, database, payments) | €20,000–50,000 excl. VAT | 2–4 months |
| New app with one AI feature (MVP) | €25,000–50,000 excl. VAT | 3–4 months |
| App or SaaS with AI at the core of the product | €50,000–120,000+ excl. VAT | 4–8 months |
Indicative market ranges, not including the monthly cost of using the AI models. The fixed price is set by the selected company in its proposal.
AI apps: frequently asked questions
Can the code from an AI-built prototype be reused?
Almost always, in part. In the projects we manage, between 30% and 60% of the generated code is reused: the interface is usually fine, the business logic needs reviewing, and security and tests nearly always have to be redone. The initial audit is what tells you what stays and what goes.
Can I keep using Lovable, Bolt or Cursor afterwards?
Yes. Many teams carry on prototyping new features with these tools. The difference is that the code moves into a repository with reviews, tests and controlled deployments, and anything the AI generates only goes into the product after passing through that process.
How much does it cost to run the AI in an app each month?
On top of normal app maintenance, you need to budget for AI model usage, which is billed per use. For a small app it might be a few tens of euros a month; for a product with thousands of active users, several thousand. It's kept under control with per-user limits, response caching and choosing the right model for each task.
Who owns the code?
Ownership of the code and the intellectual property is set out in writing in the contract with the development company before work begins. Normally it belongs to the client, with full access to the repository from day one.
Native or cross-platform?
It depends on what the app does. If the AI works with the camera, the microphone or offline, native may be worth it; for most business apps, Flutter or React Native will do the job.
Does an AI app have to comply with the AI Act?
If the app uses AI in front of users, at the very least it has to tell them they're talking to an AI or that a piece of content is AI-generated. If it makes decisions about people in areas such as employment or credit, the obligations are greater. You'll find the details on our AI Act compliance page.
Got an idea or a prototype?
Tell us where it's at and what you need. We'll get back to you within 24 hours.