Senior AI & Data Consultants.
We help ambitious companies transform digitally,
from audit to implementation.
Our experts come from leading universities and grandes écoles in France and internationally. A foundation of excellence ensuring analytical rigour and mastery of the most advanced methods.
PwC, BNP Paribas, Renault, leading CAC 40 groups and Big Four. Our experts have deployed AI models in production in mission-critical environments.
+40% productivity gains, 74% of our clients show a positive AI ROI. Every engagement starts by defining what will be measured: no concrete results, no satisfaction.
Data Scientists, MLOps, Cloud AWS/GCP and NLP specialists, handpicked for their field expertise, available to match your project needs.
Eight complementary areas of expertise to make AI, data and digital a genuine competitive advantage for your organization.
Full assessment of your AI maturity, opportunity mapping and strategic roadmap.
Data architecture, governance, KPIs and roadmap to turn your data into a strategic asset.
Custom AI solutions, LLMs, ML, automation, RAG, autonomous agents and AI chatbots integrated into your business processes.
Training sessions for your teams: generative AI, prompt engineering, modern data tools.
End-to-end monitoring of your AI & data projects: scoping, delivery, impact measurement and continuous optimisation.
Design and development of premium websites, landing pages, SaaS portals, blogs and platforms, with native AI integration.
Custom iOS & Android apps with embedded AI features, recommendations, NLP, computer vision, voice assistants.
Predictive, econometric and machine learning models (churn, risk, NLP, LLMs, time series), interactive dashboards (Power BI, Tableau, Looker) and automated analysis pipelines.
Trained in statistics at the University of Ouagadougou, Sylvie was admitted through a competitive regional exam to ENSEA Abidjan · a World Bank Centre of Excellence and the leading statistics school for French-speaking Africa. She then gained admission on academic merit to ENSAI, one of France's elite grandes écoles for data science.
Her exceptional academic record earned her the Eiffel Excellence Scholarship, awarded annually by the French government to fewer than 500 international students from thousands of applicants worldwide · a distinction reserved for the very best academic profiles on the global stage.
After school, Sylvie honed her expertise in demanding environments: consulting at PricewaterhouseCoopers (PwC), then deploying large-scale data science models at BNP Paribas and Renault. Certified in IBM Generative AI and trained on DeepLearning.AI by Andrew Ng, she founded DataSAI to bring this excellence to companies ready to take action.
Every recommendation rests on data, not intuition. We apply the same validation standards learned at the leading statistics schools.
We do not deliver deliverables. We deliver results. Every engagement starts by defining what will be measured at the end.
We build with you, not in your place. On every project, your teams understand, master, and can evolve what we have built together.
The AI sector evolves every week. We maintain active monitoring and train continuously to bring you what is best today, not what we knew six months ago.
We say what is not working as readily as what is. No unrealistic promises, no jargon to impress. A frank working relationship in which you always know where things stand.
Our roots give us a distinctive outlook. We believe that technical excellence has no geographical boundary and we work to make AI accessible to francophone businesses worldwide.
A rigorous and pragmatic approach. In 3 months, we deployed our first prediction model in production. Immediate, measurable ROI.
The training delivered to our teams transformed our relationship with data. We now make decisions based on real insights, not gut feelings.
The initial audit revealed opportunities we hadn't identified. The delivered roadmap became our compass for the next 2 years.
Autonomous agents are no longer a promise, they are running in production at hundreds of companies. Here's what we've observed in the field: the use cases that truly work, the pitfalls to avoid, and how to assess your organization's readiness to take the leap.
A step-by-step guide to setting up a RAG architecture in production, with context management and results evaluation.
A 4-month project breakdown: audit, migration to a modern architecture and data governance implementation.
Our selection of the most impactful tools day-to-day, from prototyping to production.
A free 30-minute exchange to explore how AI can transform your business. No commitment.
Discovery session · 30 min · Video call · Free