We Build
Digital Products
That Matter

Custom AI/ML model development means building a machine learning model trained on your own business data to solve your specific problem — such as demand forecasting, document processing, image recognition, or a chatbot powered by large language models (LLMs) — instead of relying on generic off-the-shelf tools. We handle the full cycle: data preparation, model training and evaluation, and deployment as a production API.

Cost depends on data readiness, model complexity, and deployment needs. A proof-of-concept typically starts smaller, while production systems with MLOps pipelines cost more. We scope every project after a free consultation, so you get a fixed quote before any work begins.

Yes. We integrate large language models into products — chat assistants, RAG (retrieval-augmented generation) systems over your documents, summarization, and workflow automation — using both commercial APIs and fine-tuned open-source models, deployed behind FastAPI services.

A typical proof-of-concept takes 2–4 weeks. A production-ready system with data pipelines, monitoring, and API deployment usually takes 6–12 weeks depending on scope. We work in weekly sprints with demos, so you see progress from week one.

Yes. We specialize in on-device machine learning with Apple's Core ML, plus server-side AI via APIs. Since we build both iOS apps and ML models in-house, we can add features like image recognition, smart search, or AI chat to your existing app end to end.