Generative AI technologies

Generative AI technologies are empowering people and businesses.

We see the implementation of Generative AI in business according to 3 main types of application.

Augment people 10-20%

Optimize work without fundamentally changing processes (e.g. Copilot).

Transform functions 40-50%

Replace existing tasks and processes, fundamentally changing businesses (e.g. automated bots).

Innovate 10X

Change the way businesses work and create new uses, experiences and modes of interaction.

We partner with a solid ecosystem of  AI & GenAI experts and we are certified experts with all major Cloud providers.

Hyperscalers

Major Actors

Technological enablers

Our generative AI convictions on 5 key areas to address your needs.

The infrastructure ground for LLMs

Advising you on different approaches suitable for the diverse need for various entities: custom in-house solutions, packaged solutions and full vendor and sharing our experiences.

LLMs adaptation for your needs

Explaining when to adopt the different LLM adaptation paradigms: prompt engineering, RAG, fine-tuning and agent-based approaches.

LLM use cases and learnings

Illustration some LLM use cases that are close to your needs and sharing our key technical learnings from implementing them for over 40 clients.

LLMOps strategies for production

Showcasing best practices / Guardrails to ensure LLMs quality and manage their life cycle in a production environment.

LLMs in the organisation ecosystem

Advising you on fostering a deep-rooted organisational transformation around GenAI, leveraging change management, specialized communities, trainings and enabling business adoption.

Generative AI Survey: the technology, the reward, the risks

Interviews with industry & thought leaders, early adopters in Generative AI Technology:

Generative AI: looking back on a 6 month marathon
Generative AI: applications and benefits for business
Implementing Generative AI: technical challenges
Implementing Generative AI: impact on jobs and people
Implementing Generative AI: ethical stakes and ESG

Download survey

Our expert content about Generative AI

The Era of Generative AI: What’s Changing

The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact...

How GenAI is helping to grow China’s wildly popular Little Red Book social platform

Edouard de Mézerac, Artefact APAC CEO, reveals what’s behind the curtain on Little Red Book, aka Xiaohongshu, China’s social media channel. The app, simply called...

Fierté AI: The open-source GenAI assistant that protects against microaggressions and reduces bias

A series of controversies surrounding the outcomes of GenAI models has increased advocacy for ethical oversight and governance of AI. While explicit bias, violence, and...

Hanan Ouazan, Partner & Generative AI Lead at Artefact at the Adopt AI Summit – Generative AI Introduction

Hanan Ouazan has graduated from Ecole Normale Supérieur and Ecole Centrale de Lille in ML and AI. He joined Artefact almost 10 years ago and...

Vincent Luciani, CEO and cofounder of Artefact - Opening keynote at the Adopt AI Summit

On June 5th, Vincent Luciani, CEO of Artefact, delivered an insightful speech at the Adopt AI Summit organized by Artefact at Station F in Paris....

Generative AI: companies face the challenge of industrialization

PoCs in generative AI have proliferated, mainly in large companies. But few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative...