Our vision

Why We Founded Esylos

A problem worth solving

Drug development has never been more complex, or more consequential. And yet the fundamental challenge for most emerging biotech and pharma companies remains the same: how do you make the right decisions when information is incomplete, time is limited, and the cost of being wrong is high?

A problem worth solving

A problem worth solving

The Gap We Set Out to Fill

The healthcare market is evolving rapidly. New modalities, new data sources, new regulatory pathways. The old playbook no longer works. Traditional consultants deliver reports, CROs execute tasks, but no one carries the logic that connects everything into a coherent development strategy.

Esylos was founded to fill that gap — through methods that integrate knowledge, quantify uncertainty, and support decisions in ways that traditional approaches cannot.

The Gap We Set Out to Fill

Esylos was founded to fill that gap — through methods that integrate knowledge, quantify uncertainty, and support decisions in ways that traditional approaches cannot.

The Gap We Set Out to Fill

Esylos was founded to fill that gap — through methods that integrate knowledge, quantify uncertainty, and support decisions in ways that traditional approaches cannot.

How We Work

This complexity can only be addressed through genuine collaboration. We work peer-to-peer with your team, each learning from the other, building shared understanding that neither party could reach alone.

Advancing healthcare research through causal inference and knowledge integration puts the human back at the center without discarding the rigor of data-driven science, allowing the patient’s voice to be integrated from the very beginning.

Understanding means grasping interactions in their irreducible complexity.
Uncertainty is the price of complexity in knowledge.

How We Work

The People Behind Esylos

Bruno Boulanger

Senior Scientific Advisor

Description

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.

Arnaud Monseur

CSO

Description

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.

Sophie Guillaume

CEO

Description

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

CTO

Description

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

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

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.

Our Values

[01]

Depth over scale

We are a reference point, not a volume player. Privately owned, human scale, at the service of long-term outcomes rather than short-term commercial pressure.

[01]

Depth over scale

We are a reference point, not a volume player. Privately owned, human scale, at the service of long-term outcomes rather than short-term commercial pressure.

[02]

Intellectual honesty

We do not pretend to know what we do not know. Uncertainty is not a weakness to hide. It is information to act on.

[02]

Intellectual honesty

We do not pretend to know what we do not know. Uncertainty is not a weakness to hide. It is information to act on.

[03]

Evidence over opinion

Decisions are grounded in data, structured expert knowledge, and rigorous analysis. Not instinct, not precedent, not what worked last time.

[03]

Evidence over opinion

Decisions are grounded in data, structured expert knowledge, and rigorous analysis. Not instinct, not precedent, not what worked last time.

[04]

Collaboration, not dependency

We build capacity within your team, not reliance on ours. The goal is better decisions made by people who understand the context, not outsourced judgment.

[04]

Collaboration, not dependency

We build capacity within your team, not reliance on ours. The goal is better decisions made by people who understand the context, not outsourced judgment.

[05]

Patient-centric by design

Patient-centric development is not a slogan. It is a design constraint that shapes every decision we help teams make, integrated from the very beginning.

[05]

Patient-centric by design

Patient-centric development is not a slogan. It is a design constraint that shapes every decision we help teams make, integrated from the very beginning.

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How can we help you achieve your goals?

Describe your challenges

How can we help you achieve your goals?

Describe your challenges

How can we help you achieve your goals?

Describe your challenges

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Our vision

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Our vision

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