We build iOS, Android and web apps with AI at their core, and add AI features to apps you already run. Think in-app assistants, smart search, voice, image recognition and personalisation, designed for UK businesses and built to keep data secure and running costs predictable.
- London-headquartered since 2019
- iOS, Android, cross-platform and web
- NDA and full code ownership
What AI app development means for your business
An AI-powered app does more than display information. It understands what users type or say, recognises images, predicts what they need next and automates tasks that used to take several steps.
As an AI app development company, we combine two skill sets that are usually split between suppliers: product-quality mobile and web development, and practical AI engineering. You get one team responsible for the app, the AI behind it and how the two work together.
- New AI-first apps, from MVP to full launch
- AI features added to your existing app
- Cloud, on-device or hybrid AI, chosen for speed, privacy and cost
Our AI app development services
Whether you're starting from an idea or improving an app with thousands of users, we cover every stage.
AI mobile app development
Native iOS and Android apps with AI built in, designed around real user journeys rather than a chatbot bolted on.
Cross-platform AI apps
One codebase in Flutter or React Native for iPhone and Android, reducing build and maintenance costs.
AI web apps and SaaS
Browser-based platforms, customer portals and SaaS products with AI features, built to scale.
Add AI to an existing app
We audit your current app and add AI features through APIs, without a full rebuild or downtime for users.
Generative AI app development
Apps powered by large language models from providers like OpenAI, Anthropic and Google, grounded in your own content so answers stay accurate.
AI MVP and prototype development
A focused first version to test your idea with real users and investors before committing to a full build.
AI features we build into apps
The features below are the ones UK businesses ask us for most often. Each can be added on its own or combined.
In-app AI assistant
A conversational helper that answers questions, completes bookings or guides users through tasks.
Smart search
Search that understands meaning, not just keywords, so users find the right product, document or answer first time.
Personalised recommendations
Content, products or next actions tailored to each user's behaviour and preferences.
Image and document recognition
Scan receipts, IDs, forms or products with the camera and turn them into structured data.
Voice and speech
Speech-to-text, voice commands and spoken responses for hands-free and accessible use.
Predictions and alerts
Forecasts and early warnings, such as churn risk, demand spikes or late deliveries, based on your data.
Content generation
Draft messages, summaries, product descriptions or reports inside the app, with human review where needed.
Fraud and anomaly detection
Flag unusual transactions, logins or behaviour in real time to protect your users.
Have an app idea that needs AI?
Share it on a free call. We'll suggest the right AI approach, the platforms to launch on and a realistic budget range.
AI apps we've built
A selection of AI-powered apps and platforms designed and developed by our team.
Dr.AI
AI healthcare app with symptom checks, treatment plans, online consultations and health tracking.
Read the case study
ChatAssist
AI support assistant that handles customer queries, captures leads and syncs with the CRM.
Read the case study
RecoMe
Recommendation engine for streaming apps that personalises content from viewing behaviour.
Read the case study
StyleMe
Fashion shopping app with AR clothing visualisation and a fast checkout.
Read the case study
AutoDoc
AI document scanning that classifies files and extracts key data automatically.
Read the case study
MediProMax
Pharmacy delivery and telemedicine app connecting patients, doctors and pharmacies.
Read the case studyOur AI app technology stack
We choose tools to fit your app's needs, budget and existing systems, not the other way round.
| Layer | Technologies we use |
|---|---|
| Mobile apps | Swift (iOS), Kotlin (Android), Flutter, React Native |
| Web apps | React, Next.js, Angular, Vue.js |
| Backend and APIs | Node.js, Python (FastAPI, Django), .NET |
| AI models and LLMs | OpenAI, Anthropic Claude, Google Gemini, open-source models such as Llama and Mistral |
| Machine learning | TensorFlow, PyTorch, scikit-learn |
| On-device AI | Core ML, TensorFlow Lite, ML Kit |
| Search and retrieval | Vector databases such as Pinecone, pgvector and Elasticsearch |
| Cloud and hosting | AWS, Microsoft Azure, Google Cloud, with UK and EU regions available |
Need a custom model rather than an off-the-shelf one? See our machine learning development services.
How we build your AI app
A staged process with a working demo at every step, so there are no surprises at launch.
Discovery and planning
We define your users, core journeys and the AI features that genuinely add value, then agree scope and budget.
UX and UI design
Wireframes and clickable prototypes that show how AI fits naturally into the app experience.
AI proof of concept
We test the AI feature on real data first to confirm accuracy, speed and running cost.
App development
Agile sprints building the app, backend and AI integration, with a demo at the end of each sprint.
Testing and QA
Functional, performance, security and AI output testing on real devices before release.
Launch and ongoing support
App Store and Google Play submission, monitoring, updates and AI improvements after go-live.
Privacy, security and cost control in AI apps
AI apps often handle personal data and send requests to third-party models, so privacy and running costs need planning from day one. We design every AI app with UK GDPR and the Data Protection Act 2019 in mind.
- Clear data flows: we document what data goes to which AI provider, and why
- No training on your data: we use enterprise AI settings that stop providers from training on your users' data
- On-device processing where privacy or speed matters most
- Encryption and secure authentication across the app and APIs
- App store compliance, including privacy labels and AI content policies for Apple and Google
- Cost guardrails: caching, usage limits and model choice to keep AI API bills predictable as users grow
For a wider view of regulation and responsible AI, see our AI development agency page.
How much does AI app development cost in the UK?
The biggest cost factors are the number of platforms, how complex the AI features are, and how many systems the app connects to. These are typical starting points:
| App type | Typical starting cost | Typical timeline |
|---|---|---|
| Adding one AI feature to an existing app | From £6,000 | 3 to 6 weeks |
| AI app MVP on one platform or cross-platform | From £15,000 | 8 to 12 weeks |
| Full AI app for iOS, Android and web | From £30,000 | 3 to 5 months |
| Enterprise AI app with custom models and integrations | From £60,000 | 5 months or more |
Running costs typically include hosting, AI model usage and optional support. Read our AI development cost guide for a detailed breakdown.
Why choose Fulminous Software as your AI app development company
App and AI in one team
Designers, app developers and AI engineers work together, so the AI feels like part of the product.
Proof before full build
We validate AI features on real data before scaling, so you don't pay for ideas that won't work.
UK-aligned delivery
London-headquartered, with project management during UK business hours and regular demos.
Predictable pricing
Fixed-price phases and clear estimates for AI running costs before launch.
You own everything
NDA as standard, and full ownership of code, models and app store accounts.
Long-term support
Monitoring, OS updates, new features and AI model improvements after launch.
Prefer to grow your own team? You can hire dedicated AI developers to work alongside your in-house staff.
AI app development FAQs
What are AI app development services?
AI app development services cover designing, building and maintaining mobile or web apps that use artificial intelligence. Typical features include in-app assistants, smart search, recommendations, image and document recognition, voice control and predictions.
How much does it cost to build an AI app in the UK?
Adding a single AI feature to an existing app typically starts from around £6,000. An AI app MVP starts from about £15,000, a full AI app for iOS, Android and web from £30,000, and enterprise AI apps from £60,000. We give a fixed estimate after a free consultation.
Can you add AI features to my existing app?
Yes. We review your current app and connect AI features through APIs or a new backend service, usually without a full rebuild. Most single features can be added in 3 to 6 weeks.
Should my AI app be native or cross-platform?
Cross-platform frameworks like Flutter or React Native suit most business apps and cost less to build and maintain. Native iOS and Android development is better when you need the best performance, advanced camera or on-device AI, or deep platform features.
What is the difference between cloud AI and on-device AI?
Cloud AI runs on remote servers and supports the most powerful models, but needs a connection and has usage costs. On-device AI runs on the phone, so it is faster, works offline and keeps data on the device, but uses smaller models. Many apps use a mix of both.
How do you keep AI running costs under control?
We estimate AI usage costs before launch, then control them with caching, usage limits, smaller models for simple tasks and on-device processing where it makes sense. You get monitoring so you can see costs as your user base grows.
Will my AI app be approved on the App Store and Google Play?
We build to Apple and Google guidelines, including privacy labels, data disclosures and rules on AI-generated content, and handle the submission process for you. We also fix and resubmit if a store raises any issues.
How long does AI app development take?
An AI app MVP usually takes 8 to 12 weeks. A full app across iOS, Android and web typically takes 3 to 5 months, and enterprise apps with custom models can take longer depending on scope and integrations.
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Ready to build your AI app?
Tell us what your app needs to do. A senior developer will review it and send you practical recommendations, a timeline and a cost estimate, with no obligation.
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