A model that performs well in the laboratory is only of value if it can be reliably deployed, monitored and adapted for production. The industrialization of AI, also known as production deployment, transforms experimentation into lasting impactwith guaranteed robustness, scalability and cost control.
Objective: ensure that your AI models don't remain prototypes, but become robust, scalable and economically viable solutions, ready to generate long-term value.
Use AI solutions that go beyond mere technical performance to generate a measurable impact on growth and competitiveness
Harness the power of AI Agents and Agentic AI to transform your operations: automated tasks, coordinated processes for tenfold strategic value
Leverage machine learning and deep learning to turn your data into reliable predictions and make automated decisions
Use AI model training and fine-tuning to transform generic models into tailor-made solutions capable of generating relevant predictions
Improve access to your data with semantic search using embeddings and knowledge graphs
Thanks to RAG (Retrieval-Augmented Generation) technology, you can query your documents and obtain precise, sourced answers.
Run your AI models directly on your local equipment: optimize your costs, keep control of your data and your business processes
Move from experimentation to production, automate the deployment of your artificial intelligence models & improve reliability
Ensure the cybersecurity of your artificial intelligence models and data with guardrails, prompt sanitization and proxies in compliance with the latest standards.
Consultant in artificial intelligence and cybersecurity. I help companies design reliable and secure AI systems
Copyright © Charly Hayoz. All right reserved.
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