Since 2023, generative AI has created an unprecedented wave of enthusiasm. But reality is more sobering: only 10% of AI initiatives move beyond the proof-of-concept stage.
Read articleTo make it useful, you need to adapt it to your context, your data, your language. Two approaches dominate: RAG and Fine-Tuning.
Read articleThe idea is simple but powerful: instead of having a single model doing everything, why not make several specialized intelligences collaborate?
Read articleAI models are not technological miracles; they are machines fed with astronomical volumes of clean, structured data. Without these foundations, no intelligence stands strong.
Read articleAI pipeline deployment to source, clean, and match CVs/profiles with job descriptions.
AI assistant that verifies new production procedures against ISO standards (rules & controls).
Generation and A/B testing of message variants by segment, channel, and context in near real-time.
Automatic structuring of insights (trends, sentiments, recurring patterns) into a queryable database.