2-Week AI Sprint

Model training teaches ML algorithms to recognize patterns in your data and make predictions. You need it when you have complex patterns that traditional rule-based systems can't capture. NuWorks handles the complete pipeline from data preparation through deployment.

AI agents can reason about complex problems, make decisions with incomplete information, and adapt to new situations. Traditional software follows fixed rules. Agents learn from interactions and handle novel scenarios.

RAG connects LLMs to your company's actual data so they provide accurate, current answers grounded in your information. Without RAG, LLMs can hallucinate. Graph-based RAG ensures retrieval of the most relevant information.

We deliver a working proof-of-concept in 2 weeks. Moving to full production typically requires 2-4 additional weeks depending on infrastructure, compliance, and scale requirements.

Yes. We manage the complete ML pipeline including data engineering, infrastructure setup, container orchestration, model versioning, and automated retraining. Proper MLOps is essential for production performance.

We use industry-standard tools including TensorFlow, PyTorch, LangGraph, OpenAI, Anthropic, and Google ADK. We're framework-agnostic and choose what's best for your specific problem.