Evaluate and maximize the ROI of business use cases
We identify promising use cases, evaluate their ROI, analyze your data flows and estimate maintenance costs in production to align AI, business and financial objectives.
Accelerate ideation and deployment of data science projects
We help you centralize your data, automate your pipelines, standardize your environments, and strengthen collaboration between business, software and R&D teams.
Data Engineering
Learn to standardize your data collection and processing processes (distributed or not). The goal is that you only develop "production ready" pipelines from the exploration phases.
Machine Learning Engineering
Resource supervision, pipeline and infrastructure optimization: we accompany you at each step to maximize the efficiency and performance of your ML projects.
MlOps
Learn to put your models into production from the exploration phase to collect real user feedback as early as possible to ensure the business utility of your projects and products.
Advanced MlOps and LlmOps
If relevant, we help you implement cutting-edge methodologies (RAG, RLHF, Transfer Learning...) to address a high-impact business challenge.
More with less, master your costs
We help you control your cloud bill by hunting down waste. This can range from optimizing a GPU to replacing an LLM with a few well-thought-out business metrics.