AI & Gen AI Factory

The AI & Generative AI Factory unlocks the power of AI and drives value across your organization.

Artefact has embraced the GenAI revolution for our clients and for society as a whole.

The AI & Gen AI Factory model provides a robust framework for developing, deploying, and scaling AI solutions across the entire enterprise.

At Artefact, we help businesses build their own AI and Generative AI Factories—an operating model where AI becomes the engine that powers decision-making, automation, and growth.

Our expertise ensures that your AI initiatives are seamlessly integrated, scalable, and deliver measurable business impact.

The Artefact GenAI Factory makes it possible to centralize expertise and consistent management of projects while supporting the longer-term transformation of professions through Generative AI.

Data democratization is part of our DNA: we are building an entire ecosystem around GenAI training & acculturation for our clients.

AI Pure Player For 10 Years

Leading AI services player in Europe:

~50% of Artefact revenue through AI & GenAI projects in 2024, >65% in 2026.

A pool of 500 AI & GenAI experts representing ~30% of our collaborators worldwide.

A GenAI COE center in Pune (India) with the ambition to increase our capacity to deliver GenAI products at scale.

GenAI Pioneer

100+ clients supported on GenAI.

End-to-end GenAI services: strategy, use case building, data platform, adoption, training and ethics.

Our missions are:

To secure the industrialization & scale of GenAI use cases: 150+ use cases industrialized.
To build trustworthy AI adopted by human.

GenAI Thought Leader

15+ AI & GenAI events animated: Adopt AI (2000 invited incl. key leaders…), ML ops community, 10+ Data & AI matinales.

Artefact R&D center launched in January 24 to work on LLM research.

ArGiMi project launched, supported by the French Government to develop the next generation of LLMs specialized models.

Artefact’s Gen AI Factory is an “end-to-end accelerator” for both Gen AI business transformation and Gen AI solution delivery.

Relevancy

How to quickly reach a level of satisfactory answer that make Gen Al products ready for user deployment?

Latency

How to reach a latency acceptable for end users?

Scalability

How to choose and deploy the right infrastructure, methods & tools to allow a large scale of Gen Al products while ensuring cost efficiency?

Organization
Efficiency

Which governance, operating model and ways of working to ensure efficiency of the talents working on Gen Al products?

Front-End And  User Experience

Which front-end to perfectly drive adoption ?

(business process transformation will also be a key driver of adoption)

Optimizing your data platform is the cornerstone of your AI transformation’s performance.

Our expert content about Generative AI

The $909 Billion AI Revolution: Generative AI’s Transformative Impact in MENA

The artificial intelligence market is on an explosive growth trajectory – GlobalData forecasts it will reach $909 billion by 2030, up from about $100 billion...

Scaling creative asset production with Generative AI for optimized media performance

The digital marketing landscape is constantly evolving, driven by technological innovations that continually redefine brand engagement strategies. At the heart of this revolution is Generative...

The ethical considerations and governance required for responsible Al adoption

The adoption of AI brings significant ethical considerations and governance challenges that must not be ignored. The way we develop, deploy, and manage AI technologies...

Shopping in the age of chatbots and Generative Engine Optimization (GEO) - where do we stand today?

This article explores how shopping behavior is rapidly evolving through the rise of Generative Engine Optimization (GEO) and AI-powered search experiences. With platforms like ChatGPT...

Thought Leadership: Leveraging AI and Generative AI for Private Equity Success in a Volatile US Market

The US private equity market is navigating a period of heightened uncertainty. Persistent inflation, rising interest rates, geopolitical instability, and banking sector turbulence have created...

The Ornithopter Problem of AI Agents: A need to think and move Beyond Human-Center Systems

As AI agents increasingly handle tasks like email drafting or resolving customer service issues, one challenge becomes clear: how can these agents communicate effectively -...

Redefining Enterprise Organization for the Agentic Wave.

The rise of AI agents in enterprises unfolds at two levels: enhancing individual productivity through Task Agents and redefining collective workflows via Workflow Agents. While...

Is Business Intelligence still a thing in 2025?

Have you just come out of another meeting where the focus was discussing which number was correct, instead of debating the best paths to business...

AI for all: How AI Agents are hyper-personalizing enterprise software

For a long time, technology has been trying to be accessible beyond those who know how to code. This process has slowly evolved, from low-level...

AI Agents Are Changing How People Shop. Here’s What That Means for Brands.

The rapid adoption of AI agents has major implications for who captures value in consumer transactions—particularly who owns the end customer. In the pre-internet era,...

Is GenAI hype dying? – Why now is the best time to build

Generative AI is a game-changer with applications across industries. Companies are actively discussing it, venture capitalists are heavily investing, and both employees and users are...

The Sound Shift: How Generative AI is Redefining the Music Industry's Business Model

The first documented live performance blending generative AI and a musician took place in November 2022, when pianist David Dolan (Guildhall School of Music and...