We are currently onboarding a limited number of new programs.

We are currently onboarding a limited number of new programs.

We are currently onboarding a limited number of new programs.

Decision Support for drug
and device development
under uncertainty.

We help life science organizations turn complex scientific knowledge into confident, evidence-based development strategies using advanced analytics, causal ML/AI, and Bayesian decision support.

What Esylos does

Your knowledge is scattered 
— we unify it

Expert judgment, historical data, published literature, internal experiments: in most programs, critical knowledge lives in silos. Esylos integrates everything into a unified framework that reduces bias, reveals what actually matters, and gives your team a shared foundation for every decision ahead.

Your decisions are blocked by uncertainty — we quantify it

When data is incomplete and hypotheses need testing, Esylos helps teams decide what to do next by quantifying uncertainty in ways that meet regulatory expectations and accelerate development timelines. No guesswork. No false confidence. Just clarity about what you know, what you don’t, and what to do about it.

You need a strategic partner, 
not another vendor

Esylos works directly with your team to turn expertise into actionable decisions through knowledge graphs, causal inference, and advanced Bayesian methods built for life science development. We build capacity within your organization — not reliance on ours.

How Esylos works

The People Behind Esylos

Nils Boulanger profil

Bruno Boulanger

Senior Scientific Advisor

Description

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Bruno is a recognized leader in applied statistics with over 30 years of experience across pharmaceutical and medical device development. He has held senior roles at Eli Lilly and UCB, founded Arlenda in 2003, published over 100 scientific papers, and launched the BAYES conference series.

Nils Boulanger profil

Arnaud Monseur

CSO

Description

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Arnaud is a Bayesian biostatistician with over 10 years in pharma, specializing in innovative statistical methodologies for clinical and CMC development. He serves on the BAYES Scientific Committee and is President of the Quetelet Society, advancing causal inference and Bayesian networks in life sciences.

Nils Boulanger profil

Sophie Guillaume

CEO

Description

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Sophie is CEO of Trilenda — Esylos, Sanaitio & Arlenda. She brings over 30 years of international experience in regulatory consulting and operations, building and scaling organizations in complex regulated environments.

Nils Boulanger profil

Nils Boulanger

CTO

Description

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Nils leads technical architecture and AI-driven decision support at Esylos. With a Master's in Data Science Engineering, he brings expertise in machine learning, healthcare AI, and causal inference, with a focus on robust data infrastructure and patient-centric solutions.

Gaëlle Martin

Head of QA

Description

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20+ years in QA leadership. QMS aligned with GMP, GCP, GAMP5, ISO 9001/13485. Computerized system validation and complex GxP projects.

Cédric Dubourg

Head of Software

Description

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Cédric is the lead developer behind Arlenda's SmartSTATS platform, with nearly two decades of experience across banking, insurance, and pharmaceutical services. He has built and maintained the platform since 2010, covering Java development, web technologies, cloud infrastructure, containerization, database management, and Linux administration. He has kept SmartSTATS running, secure, and evolving for the past fifteen years.

Who this is for

We help life science organizations turn complex scientific knowledge into confident, evidence-based development strategies using advanced analytics, causal ML/AI, and Bayesian decision support.

Whether you’re a biotech navigating a rare disease or ATMP program, a mid-size pharma team scaling a complex manufacturing process, a HealthTech company developing IVDs, or a big pharma facing high-stakes quality decisions — Esylos is built for exactly this moment.

Who this is for

We help life science organizations turn complex scientific knowledge into confident, evidence-based development strategies using advanced analytics, causal ML/AI, and Bayesian decision support.

Whether you’re a biotech navigating a rare disease or ATMP program, a mid-size pharma team scaling a complex manufacturing process, a HealthTech company developing IVDs, or a big pharma facing high-stakes quality decisions — Esylos is built for exactly this moment.

Who this is for

We help life science organizations turn complex scientific knowledge into confident, evidence-based development strategies using advanced analytics, causal ML/AI, and Bayesian decision support.

Whether you’re a biotech navigating a rare disease or ATMP program, a mid-size pharma team scaling a complex manufacturing process, a HealthTech company developing IVDs, or a big pharma facing high-stakes quality decisions — Esylos is built for exactly this moment.

Why Teams Trust Esylos

Built by senior life sciences strategists

Deep experience across clinical development, regulatory strategy, and translational science, combined with advanced expertise in causal inference and Bayesian methods. Over 100 published scientific papers and leadership of the BAYES conference series.

Grounded in regulatory reality

Methods aligned with EMA and FDA expectations, built to support real-world submissions and accelerate regulatory pathways.

Proven track record from discovery to market

Engagements spanning the full product lifecycle, with demonstrated success bringing therapies from early research through clinical development and commercial launch.

Independent and privately held

We work in your interest, not a shareholder’s. No short-term commercial pressure, no conflicts of interest.

How can we help you achieve your goals?

Describe your challenges

group of people using laptop computer

How can we help you achieve your goals?

Describe your challenges

group of people using laptop computer

How can we help you achieve your goals?

Describe your challenges

group of people using laptop computer

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