Experience at the Service of Scalability

Our approach wasn't born in a garage, but at the heart of the largest Cloud and AI transformation projects.

Pascal Delelis

We don't start with the "Wow". We start with the "How".

Most AI projects fail because they start with an appealing prototype (the "Wow") hoping to make it robust later. This is a mistake.

Our "Industrialization-First" philosophy consists of designing from day one the secure, scalable, and governed foundation (the "How") necessary to guarantee long-term success. We develop rapid PoVs, but always with a clear vision of the final industrialized solution. This is the only method that works in an enterprise environment.

Whether you opt for a custom consulting mission or the deployment of our NexusOS platform, our DNA remains the same: an "Industrialization-First" approach that ensures every solution, whether customized or turnkey, is designed for scalability, security, and performance.

"PoC-First" Approach

Governance
Security
Scalability
Prototype

❌ Fragile house of cards

VS

"Industrialization-First" Approach

Innovation
Scalability
Security
Solid Foundation

✅ Solid and durable pyramid

A Decade Building Ecosystems for Global Leaders

Pascal Delelis, founder of Chrysalis Innovation, has spent over 13 years designing and deploying complex Cloud platforms for CAC 40 enterprises.

His last mission before founding Chrysalis Innovation was to initiate, design, and lead the development of the strategic generative AI platform for Capgemini Group's 340,000 employees.

It is this unique experience and vision, proven at very large scale, that is now at the service of your transformation.

Key achievements:

  • Design and deployment of Capgemini's generative AI platform (340,000 users)
  • Industrialization manager for Capgemini Engineering Cloud platforms (55,000 employees)
  • Support for large-scale generative AI deployment (2024-2025)
  • Over 13 years of experience in Cloud architecture and industrialization
2014-2021

Cloud Solutions Architect

Design and deployment of complex Cloud ecosystems for large enterprises

2021-2023

Lead Architect & Industrialization Manager

Capgemini Engineering - Cloud platform industrialization for 55,000 employees

2023-2024

Large-Scale AI Transformation

Design & Deployment of generative AI platform for Capgemini Engineering, then Capgemini Group (340,000 employees)

2024-2025

Chrysalis Innovation Foundation

Support for large-scale generative AI deployment in enterprises

340,000

Employees impacted

Our Core Principles

Industrialization by Design

Every solution is designed from the start with its industrialized vision, including security, scalability, and governance.

Native Scalability

Architecture designed from the start to support large-scale growth and evolution.

Operational Excellence

Proven industrial processes to guarantee quality, performance, and reliability.

Security by Design

Security integrated as a foundation, not as a late addition, in every component.

What Sets Us Apart

Enterprise Experience

We have lived the challenges of AI industrialization at very large scale. We know what works and what fails.

Pragmatic Vision

No buzzwords or unrealistic promises. We focus on measurable business value.

De-risked Approach

Our proven methodologies minimize risks and maximize chances of success.

Knowledge Transfer

We train your teams so they become autonomous on the deployed solutions.

Ready to benefit from this expertise?

Let's discover together how our approach can accelerate your AI transformation.

Discuss your project