How much does AI integration cost and how long does it take?

A single feature like smart search or a chatbot ships in 4 to 8 weeks. Multi-feature builds with RAG and on-device AI take 8 to 16 weeks. We scope individually and give a fixed estimate before work starts.

Can you add AI to an existing app without rebuilding it?

Yes. AI integrations layer onto your existing architecture through APIs and SDKs. We find the cleanest integration points and add capabilities without disrupting what already works.

Should I use on-device AI or cloud AI?

On-device is faster, works offline, and keeps data private. Cloud handles complex tasks and scales more easily. Most apps use both. We help you choose based on privacy, latency, and cost.

What is RAG and how does it help my app?

RAG connects an AI model to your own documents and databases so it answers using your data, not generic training data. Accurate, company-specific responses without training a custom model.

How do you ensure AI features protect user privacy and data?

On-device models keep sensitive data on the phone. For cloud AI, we enforce encrypted transport, token-scoped access, and zero-retention policies with providers. Data handling is designed around your compliance requirements from the start.

AI Integration Services for iOS & Android

AI & LLM integration, engineered for real-world production use.

We design and build AI-powered features for iOS and Android apps, from AI chat and voice calling to intelligent search and recommendations. Whether you're adding AI to an existing product or building something new, we focus on integrations that perform in production: secure, scalable, and built to last, not just a working demo.

What's included

Deliverables

AI model integration

Integrate AI models to enable intelligent search, chat, content generation, and workflow automation with secure APIs, real-time streaming, authentication, and scalable backends.

On-device AI

Run AI features locally on iOS and Android for faster, more private experiences. Ideal for text recognition, image analysis, language detection, and other low-latency use cases.

Retrieval-augmented generation (RAG)

We connect AI to your own documents, databases, and knowledge base, so it gives accurate, context-aware answers based on your data, not generic responses pulled from the open internet.

Conversational AI experiences

We build AI assistants, support bots, and onboarding flows that hold a natural conversation, remember context, and perform reliably, not just answer one question at a time.

Document & image intelligence

Automate document and image workflows, including receipt scanning, OCR, ID verification, photo classification, and data extraction. We choose the right mix of on-device and cloud AI based on your privacy and performance needs.

AI audit & cost optimisation

Already using AI? We'll review your implementation, identify performance bottlenecks, reduce unnecessary inference costs, and provide practical recommendations to improve quality, reliability, and user experience.

How it works

The process

Define the AI strategy

Every project starts with the same question: where does AI actually create value for your users? We identify the right use case, expected outcomes, and the best technical approach, tailored to your existing product and infrastructure.

Build & test

We integrate AI capabilities into your application and put them through real-world testing to assess response quality, speed, security, and the overall user experience. The goal is simple: it needs to hold up in production, not just work in a walkthrough.

Deploy & improve

Once deployed, we track usage and keep improving. Performance, costs, and user experience are monitored as your product grows and the integration evolves to meet your business needs and new AI capabilities.

Is this right for you?

Who it's for

SaaS platforms

Your product already delivers value. We integrate AI features that enhance the user experience, automate workflows, and unlock new capabilities without disrupting your existing platform.

Enterprise AI integration

Adding AI to enterprise systems requires careful planning and seamless execution. We integrate AI capabilities into your existing platforms while maintaining security, performance, and the workflows your teams rely on.

AI for mobile applications

AI should feel like a natural part of the experience, not an afterthought. We integrate intelligent features into iOS and Android applications that improve user experiences while keeping performance fast, reliable, and secure.

Startups building AI products

Moving from an idea to a production-ready product takes more than choosing a model. We help you build AI features that launch quickly, scale confidently, and evolve with your business.

Customer support platforms

Customers want answers, not endless waiting. We build AI-powered assistants and support tools that resolve common questions faster while giving teams the context they need for more complex conversations.

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