AI integration has become one of the most requested features from our clients at Strayks. Whether it's a smart recommendation engine, a conversational assistant, or automated data processing — AI makes apps smarter and more valuable.
Why AI Integration Matters
The difference between a good app and a great app in 2025 is intelligence. Users expect apps to learn from them, anticipate their needs, and automate repetitive tasks. AI makes all of this possible.
How We Approach It at Strayks
Every AI integration we build starts with a clear question: what problem are we solving for the user? We never add AI for its own sake. We identify the pain point first, then choose the right model or service to solve it.
Our typical stack for AI integration includes OpenAI for language tasks, TensorFlow Lite for on-device inference, and custom fine-tuned models for specialized use cases.
Common AI Features We Build
- •Smart search — semantic search that understands intent, not just keywords
- •Chatbots and assistants — context-aware conversational interfaces
- •Recommendation engines — personalized content and product suggestions
- •Automation — intelligent workflows that reduce manual tasks
- •Image and voice recognition — for apps that need to see or hear
What It Costs
AI integration varies widely in cost depending on the complexity. A basic OpenAI-powered chatbot can be added to an existing app for a fraction of a full build cost. A custom trained model is a larger investment but pays dividends long-term.
Get in touch with us at Strayks and we will help you figure out what level of AI integration makes sense for your product and budget.