AI & Machine Learning Expertise

Our AI knowledge spans from model training and optimization to on-device deployment and cloud inference pipelines. We build AI that works in production at scale.

Knowledge Areas

What We Know Deeply

On-Device ML

Core ML model deployment & optimization
Vision framework for image analysis
Natural Language framework
Create ML for custom model training
Model quantization & compression
Neural Engine optimization

Cloud AI

LLM API integration (GPT, Claude, etc.)
Retrieval-augmented generation (RAG)
Embedding models & vector search
Prompt engineering & chain-of-thought
Fine-tuning & model customization
AI agent architecture

Applied AI

Computer vision for retail
Predictive analytics & forecasting
Recommendation systems
Conversational AI interfaces
Document processing & OCR
Anomaly detection

Our Approach

Production AI, Not Science Projects

We focus on AI that solves real business problems and runs reliably in production. That means choosing the right tool for the job — sometimes that's a sophisticated deep learning model, sometimes it's a well-engineered heuristic. We optimize for outcomes, not complexity.

Every AI feature we build includes proper error handling, fallback behaviors, monitoring, and the ability to update models without shipping a new app version.

Production AI architecture from training to on-device deployment