Data, AI & Reinsurance
Consulting.
We help insurers, reinsurers, and businesses turn complexity into clarity — combining rigorous statistical expertise with modern AI and automation.
About

Sebastien Luyasu
Founder · Brussels
Stochastic Analytics is a Brussels-based independent consulting practice founded by Sebastien Luyasu — econometrician, statistician, and builder.
Sebastien holds a Master's in Econometrics with a research focus in Statistics from Solvay Brussels School of Economics & Management. That foundation shapes how we work: rigorous, model-first, always driven by data.
Sebastien worked in reinsurance — analyzing catastrophe contracts, quantifying risk exposures, and applying advanced statistical methods to pricing. He then moved into insurance as an actuary, deepening his expertise in risk analysis while building automation tools to streamline complex workflows.
Stochastic Analytics now brings that same quantitative rigour to help businesses use AI, automate their workflows, and build data products that actually work.
Services
What We Build
Specialized consulting at the intersection of quantitative finance, data science, and modern AI.
Insurance & Reinsurance Consulting
Reinsurance pricing reviews, CAT model interpretation, treaty analysis, and risk quantification for insurers and reinsurers.
AI & Automation Consulting
We design and deploy AI workflows that eliminate repetitive tasks, surface hidden insights, and give your team real leverage — using tools like n8n, Make, LangChain, and custom LLM pipelines.
Data & Statistical Analysis
From raw data to decision-ready insight. Statistical modelling, econometric analysis, machine learning, and custom data tools built with R and Python.
Web & Digital Products
Bespoke websites, internal tools, and digital products — designed to convert, automate, and scale. Built fast, built right.
Contact
Let's build something sharp.
Whether you need reinsurance expertise, a data science solution, an AI workflow, or a digital product — we'd love to hear about your challenge.
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