AI features that do something useful, not just something new
AI earns its place in an app when it removes a step for the user: reading a document so they don’t have to type it, writing a plan they would otherwise research for hours, or answering questions in their own language. We have shipped exactly these kinds of features in our own App Store apps, from AI chat to document scanning to personalized fitness plans. For clients, we add language models, retrieval, agents and on-device machine learning to new or existing products, with careful attention to cost, privacy and reliability.
What we deliver
LLM-powered features
Chat, summarization, writing assistance and structured generation using leading language model APIs.
Retrieval over your own data
RAG pipelines that ground answers in your documents, products or knowledge base instead of the model’s guesses.
AI agents and automations
Assistants that call tools and APIs to complete multi-step tasks, with clear limits and human checkpoints.
On-device vision and OCR
Text recognition, document detection and image classification with Core ML and Apple’s Vision framework, working offline.
AI for existing apps
Focused AI features added to your current product without rebuilding it.
How we approach it
Start from the user’s problem
We identify the one task AI makes dramatically easier before choosing a model, so the feature earns its running cost.
On-device when it makes sense
Processing on the phone keeps data private, works offline and costs nothing per request. We use the cloud only when the task needs it.
Guardrails and evaluation
We test outputs against real examples, handle failures gracefully and monitor quality and cost after launch.
Technologies
- OpenAI API
- Anthropic API
- Core ML
- Vision
- Python
- LangChain
- Vector databases
Built by our team
Our own apps use AI for conversation, personalized planning and document scanning with OCR.
How we work
- 01
Discovery
A short call to understand your goals, users and constraints. You get a clear scope, timeline and estimate.
- 02
Design
User flows and high-fidelity screens that follow Apple’s Human Interface Guidelines — reviewed together before a line of code.
- 03
Build
Iterative development in Swift and SwiftUI with regular TestFlight builds, so you can try the app on your own iPhone as it grows.
- 04
Launch
App Store assets, submission and review handled end to end. Your app goes live under your own developer account.
- 05
Support
Bug fixes, iOS version updates and new features after launch — based on real user feedback and analytics.
Questions
Can you add AI features to our existing app?
Yes, and it is often the best place to start. We pick one high-value use case, build it on top of your current app and backend, and expand from there based on usage.
Which AI models do you work with?
We work with the major hosted language models as well as open-source models and Apple’s on-device frameworks. We choose based on quality, speed, cost and privacy for your specific task.
What happens to our users’ data?
We minimize what leaves the device, use providers and settings that do not train on your data, and document exactly what is sent where. Sensitive tasks can run fully on-device.
How much does it cost to run AI features?
It depends on usage and model choice. We estimate per-user costs during discovery and design features, caching and limits so running costs stay predictable as you grow.
Have a project in mind?
Tell us about it. Our team in Istanbul replies within one business day with next steps and a free intro call.
Start a project