AI-Native Product Development
We design and build products where AI is part of the core experience, architecture, and user workflow from day one.
What this includes
LLM Integration
RAG Systems
AI Copilots & Assistants
Recommendation Systems
AI Feature Integration in Existing Products
What We Deliver
The work required to make AI useful in production
LLM Integration
We integrate large language models into products with the right model selection, prompt strategy, context handling, evaluation approach, and production architecture.
RAG Systems
We design retrieval-augmented generation systems that allow AI to work with your own documents, knowledge bases, product data, and internal information without retraining a model.
AI Copilots & Assistants
We build in-product assistants that help users complete meaningful tasks faster, with user experience, permissions, escalation paths, and reliability designed from the start.
Recommendation Systems
We build recommendation systems for content, products, workflows, and decisions, tuned to the specific context and data quality of your product.
AI Feature Integration in Existing Products
We assess where AI can add value to an existing product, then integrate it without disrupting the workflows and capabilities users already depend on.
This Service Is a Fit When
The problem is specific enough to build around
You are building a new product and want AI to be a structural part of how it works from the start.
You have an existing product and a specific area where AI can make it meaningfully more useful.
You have attempted AI integration before and want it done properly this time.
You need an engineering team that has shipped AI in production, not just prototyped it.
What You Get
Clear deliverables, not vague activity
Each engagement includes the architecture, safeguards, deployment path, and handover needed for a responsible production build.
Technical architecture document
AI feature design and UX specifications
Production build - LLM, RAG, copilot, or recommendation system
Integration into existing product or new product build
Evaluation and monitoring setup
Deployment and handover
Relevant Experience
Jabinaki - AI-Powered Group Travel Planning
Our group travel platform is in active development, with an AI-enabled mobile app for itinerary suggestions and preference-based recommendations.
Evaluating an AI Product Build?
Start with an AI Audit. We will review your use case and respond with a practical next step.