Artefact
Artefact · Productivity
Artefact is a global data and AI consultancy that turns enterprise ambition into working systems. The firm covers AI strategy plus engineering and staff upskilling under one roof.
About Artefact
What Is Artefact
Artefact is a consulting firm built around data and artificial intelligence, and it sells end-to-end transformation rather than a single tool. The company was founded in Paris in 2014 by Vincent Luciani, Guillaume de Roquemaurel and Philippe Rolet. Its pitch is simple: most organizations get stuck between a strategy deck nobody can execute and a technology project nobody can explain. Artefact puts consultants, data engineers, data scientists and marketers on the same team so the plan and the build happen together.
Artefact works across sectors and runs deep practices in luxury and beauty, retail, FMCG, financial services, healthcare plus manufacturing and telecoms. The client list tops 1,000 organizations and includes 300-plus major international brands. Its work covers data and AI strategy, data governance, customer data platforms plus marketing analytics, generative and agentic AI, and corporate training through its AI Academy. Artefact also builds its own accelerators, most visibly the SKAFF platform of open-source data and AI components. It runs an internal research center and a data school as well.
Two things shape whether Artefact fits. This is an enterprise engagement with project or retainer pricing, so it suits organizations with real budgets and messy data estates, not individuals who want a self-serve tool. The outcome also depends on your own data readiness. The firm can architect platforms and governance, but it still needs access to clean, governed data to make AI work at scale. In July 2025 the private equity firm Cinven agreed to take a majority stake. The deal valued Artefact at more than €1 billion and backed a plan to triple the business by 2030.
Getting Started
- Contact the team through the website and describe the business problem, not the technology you have in mind
- Run a maturity assessment so Artefact can map your current data and AI capabilities against your targets
- Agree a prioritized roadmap and pick the first use cases that map to a measurable business metric
- Move into delivery, where a joint team builds the data platform or AI application and measures results against agreed KPIs
Product Information
A quick look at Artefact's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Enterprise data and analytics leaders
- C-suite executives
- Marketing and growth teams
- Data engineers and data scientists
Tasks
- Data and AI strategy consulting
- Custom AI applications
- Data platform consulting
- Workforce upskilling
- Marketing measurement
Scenarios
- A stalled AI program
- A luxury or retail brand scaling personalization
- A regulated rollout
- Entering new markets
- Post-merger data integration
Key features
End-to-end transformation framework
Artefact runs three pillars under one engagement: AI strategy for the leadership vision, AI solutions engineering for the build, and people transformation for adoption. The idea is to close the gap where a strategy gets approved and then dies because nobody built the platform or trained the team. One partner stays accountable for the plan and the production system.
AI and GenAI Factory
The AI and GenAI Factory is where custom generative and agentic AI gets designed and industrialized. Teams build multi-agent workflows, retrieval systems and operational analytics on top of modern MLOps and LLMOps pipelines. The focus is production-grade deployment with security and high availability, not demos that never leave the lab.
SKAFF platform and accelerators
SKAFF is Artefact's incubator for its own technical products. It holds knowledge packs and ready-made accelerators such as Python packages, Terraform modules and Git templates that skip the boilerplate at the start of a data project. Teams use them to deploy data lakes, pipelines, access control and governance in days instead of weeks.
Data platform and governance services
Artefact designs and builds the infrastructure underneath AI: cloud data platforms, customer data platforms, data governance and management, and self-service BI. The firm works across major cloud and data stacks rather than locking you into a single vendor, so the platform fits your existing IT setup.
Marketing data and digital
The marketing side covers customer data environments, marketing ROI measurement through MMM plus testing and attribution, data-driven sales and category management. Artefact also runs certified media services for brands that want measurement and activation in one place, and those cover Google Marketing Platform and Amazon DSP reseller work.
AI Academy and corporate training
Through its AI Academy and data school, Artefact trains executives, managers and domain teams to work with AI rather than around it. The curriculum covers prompting, agentic workflow orchestration and the management of autonomous systems, with role-based tracks so each group learns what its job actually needs.
Research Center and open source
The Artefact Research Center publishes research and releases open-source components back to the data community. Recent work touches on methods that reduce hallucination in large language models and open tools for choice modeling. This matters if you want a partner that contributes to the methods it uses, not just applies them.
Pros and cons
Pros
- One partner covers strategy plus engineering and training, which cuts the handoff where plans usually stall
- Deep industry practices in luxury, retail, healthcare and financial services, so teams arrive with sector context
- Open-source accelerators like SKAFF shorten the setup phase of a data project
- Technology-neutral approach means the recommended stack follows your environment, not a reseller agreement
- Global footprint of 36 offices in 27 countries supports multinational rollouts with local delivery
Cons
- Enterprise pricing and project engagements put it out of reach for individuals and small teams looking for a self-serve tool
- Results depend on your data readiness, since no consultancy can make AI work on top of ungoverned, fragmented data
- It is a services model rather than software you can trial, so you commit before you see a working product
- Outcome metrics in client cases come from full rollouts, which are hard to replicate without a similar budget and internal buy-in
Frequently asked questions
Artefact is a data and AI consultancy and AI consulting firm. It helps large organizations set an AI strategy, build the data platforms and AI applications behind it, and train their staff to use the results. It is not a self-serve software product.
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