Artificial Intelligence

Machine Learning, Generative AI & Agentic AI Solutions

Custom AI solutions: LLMs, Generative AI and Agentic AI. Integration of ChatGPT, Claude, Gemini, open source and local models; agentic frameworks like LangChain, LangGraph, CrewAI, AutoGen. Transform your business.

Artificial Intelligence

Harnessing the Power of AI

Our AI solutions leverage cutting-edge technologies to help businesses automate processes, gain insights from data, and create intelligent systems that learn and adapt.

  • Machine Learning & Deep Learning

    We develop sophisticated ML/DL models tailored to your specific business needs, from predictive analytics to computer vision and natural language processing.

  • Large Language Models & Generative AI

    We integrate and customize leading LLMs like ChatGPT, Claude, Gemini and open source models like Llama, Gemma, DeepSeek. We develop generative AI solutions for text, images, and code.

  • Retrieval-Augmented Generation (RAG) & Local LLMs

    We implement RAG with local or cloud LLMs to integrate your proprietary data. We offer private solutions with open source models like Llama, Gemma and DeepSeek for maximum security and control.

  • Agentic AI & Multi-Agent Systems

    We design autonomous AI agents with reasoning, persistent memory, and tool-use capabilities. We build complex multi-agent systems with LangChain/LangGraph, CrewAI, Microsoft AutoGen, smolagents, Google ADK and Cheshire Cat, implementing A2A architectures for interoperable agents.

Model Context Protocol (MCP)

We implement MCP to enhance AI capabilities by providing contextual awareness and access to external tools and data sources, making AI systems more powerful and versatile.

AI Ethics & Governance

We ensure responsible AI development with robust governance frameworks, bias detection, and transparency measures to build trustworthy AI systems.

AI Integration

We seamlessly integrate AI capabilities into your existing systems and workflows, maximizing the value of your technology investments.

Custom AI Development

We build bespoke AI solutions tailored to your specific industry challenges, from healthcare diagnostics to financial forecasting and beyond.

Agentic AI: Open Source Frameworks

We implement Agentic AI with leading open source frameworks: LangChain, LangGraph, CrewAI, Microsoft AutoGen, LlamaIndex, smolagents (HuggingFace), Google ADK and Cheshire Cat. We support the A2A (Agent2Agent) protocol to orchestrate collaborative and interoperable multi-agent ecosystems.

AI for Sensitive & Healthcare Data

We implement secure AI solutions for sensitive and healthcare data, with local models, advanced encryption, and regulatory compliance to ensure privacy and security.

Our AI Methodologies

At noze ®, we employ a comprehensive approach to AI development, combining proven methodologies with innovative techniques to deliver solutions that drive real business value.

Our AI expertise includes:

  • Supervised, unsupervised, and reinforcement learning
  • Neural networks and deep learning architectures
  • Natural Language Processing (NLP) and Understanding (NLU)
  • Computer Vision and image recognition
  • Time series analysis and forecasting
  • Anomaly detection and pattern recognition
  • LLM Implementation & Fine-tuning (ChatGPT, Claude, Gemini, Llama, Mistral, Gemma, DeepSeek)
  • Agentic AI Frameworks: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, smolagents, Google ADK, Cheshire Cat

We work closely with your team to understand your specific challenges and objectives, then develop AI solutions that deliver measurable results. Our iterative development process ensures continuous improvement and adaptation to changing business needs.

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Frequently Asked Questions

We have delivered a wide range of AI projects: predictive analytics systems, custom enterprise chatbots with LLMs, computer vision systems for quality control, NLP solutions for document analysis, autonomous AI agents and multi-agent pipelines with LangChain, CrewAI and AutoGen, and RAG systems with local and cloud models.

Our approach to AI integration is modular and flexible. We start with a thorough analysis of existing systems, identify optimal integration points, and develop AI solutions that seamlessly integrate with existing workflows, minimizing operational disruption.

We use a combination of cutting-edge technologies: TensorFlow, PyTorch and Keras for deep learning; LLMs like GPT-4o, Claude, Gemini, Llama and DeepSeek for generative AI; agentic frameworks like LangChain, LangGraph, CrewAI, Microsoft AutoGen, LlamaIndex and smolagents for multi-agent systems; and MCP (Model Context Protocol) for integration with external tools and data. The choice depends on specific project requirements.

Data privacy is our top priority. We implement rigorous security measures, use data anonymization techniques, and follow industry best practices and privacy regulations like GDPR. We also offer on-premise AI solutions for particularly sensitive data.

Implementation times vary based on project complexity. Typically, a proof-of-concept can be developed in 4-8 weeks, while a complete solution may take 3-6 months. We adopt an agile approach with incremental releases to deliver value from the early stages of the project.