Artefact

Artefact is a global data & AI consulting firm that works with companies to design strategy, deploy AI solutions, and drive adoption of data-driven business practices.
Pricing Model: Paid
https://www.artefact.com/
Release Date: 07/03/2018

Artefact Features:

  • End-to-end AI transformation from strategy to operations
  • Generative AI and agentic AI solutions tailored by department
  • Data foundations, governance and business intelligence services
  • Cloud and data platform design and deployment
  • Marketing data & digital activation using advanced analytics
  • Industry-specialised teams (retail, luxury, telecom, manufacturing, etc)
  • Global consulting network with offices in many countries
  • Training and change-management via GenAI Academy and data schools
  • Technology-agnostic approach, partnering with leading cloud providers
  • Focus on measurable business impact, not just technology

Artefact Description:

Artefact is a global data and AI consulting company that helps organizations turn data, artificial intelligence, and digital technologies into measurable business impact. Founded in 2014, the company works at the intersection of consulting, data science, AI technologies, engineering, and marketing. Rather than operating as a single self-service AI application, Artefact provides customized services and technology implementations designed around the requirements of individual organizations.

At the center of Artefact’s offering is its AI and Data Strategy & Transformation practice. The company helps businesses assess their data and AI capabilities, identify valuable use cases, establish governance, design operating models, and create practical transformation roadmaps. Its teams can support organizations from early strategy and discovery through implementation, adoption, and ongoing operations.

Artefact also develops data and AI technology solutions. Its services include data platform architecture, data engineering, machine learning, analytics, business intelligence, data quality, and governance. Data scientists and engineers build production-oriented AI products for problems such as customer analysis, demand forecasting, segmentation, prediction, and other business applications.

The company’s AI Factory methodology is designed to help enterprises move AI projects beyond experimentation. Artefact combines multidisciplinary teams, structured processes, governance, and technology to take projects through stages including discovery, minimum viable models, prototyping, scaling, and optimization. Its AI accelerators can also be integrated with existing enterprise systems and cloud infrastructure.

Artefact works across customer and marketing use cases as well as operational applications. Its data-driven marketing services cover areas such as customer insights, digital marketing strategy, campaign optimization, SEO, CRM, media, and marketing measurement. On the operations side, its AI capabilities can support automation, forecasting, customer service, and other enterprise workflows.

The company also provides generative AI and newer AI capabilities, including AI strategy, engineering environments, agentic systems, and enterprise AI infrastructure. Its current positioning emphasizes secure, governed, scalable AI adoption rather than isolated proof-of-concept projects.

Artefact supports organizations from strategy through deployment and training. Its multidisciplinary model brings together consultants, data scientists, engineers, marketing specialists, and other experts to address business and technology requirements within the same project.

Frequently Asked Questions

What is Artefact?

Artefact is a global data and AI consulting company that helps organizations develop, implement, and scale AI and data solutions. Its services cover strategy, data platforms, AI engineering, analytics, marketing, operations, and organizational adoption.

What does Artefact do?

Artefact helps businesses transform their data and adopt AI through consulting, technology development, engineering, and implementation services. Projects can range from AI strategy and data governance to production machine learning systems and AI-powered business workflows.

Does Artefact build custom AI solutions?

Yes, Artefact develops customized AI and machine learning solutions for specific business requirements. Its teams can take projects from identifying a use case through development, deployment, scaling, monitoring, and optimization.

What is Artefact’s AI Factory?

Artefact’s AI Factory is an operating approach for taking AI initiatives from discovery into production and continuous improvement. It combines multidisciplinary teams, governance, technology, and a structured methodology covering discovery, modeling, prototyping, scaling, and optimization.

Does Artefact provide generative AI services?

Yes, Artefact provides generative AI strategy, engineering, and implementation services for organizations. Its current AI offering also covers agentic engineering environments, enterprise AI infrastructure, governance, and adoption.

Does Artefact work on data and marketing projects?

Yes, Artefact combines data consulting with data-driven marketing and digital activation services. Its marketing work includes customer insights, digital strategy, SEO, CRM, paid media, campaign optimization, and marketing performance measurement.

How much does Artefact cost?

Artefact does not publicly disclose a standard starting price because its services are customized to each organization’s requirements. Project costs depend on factors such as scope, technology, implementation needs, team requirements, infrastructure, and ongoing support.

When was Artefact founded?

Artefact was founded in 2014 in France. The company initially focused on bridging data and business and subsequently expanded internationally, including through its 2017 merger with NetBooster and its broader development as a global data and AI services company.

Real User Reviews and Rating of Artefact

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Data Projects Ai Tool

September 16, 2026

this tool is best for AI dashboarding, automation, and customer data work, especially for projects needing both technical and marketing expertise. I find it useful for larger organizations with complex data needs, though smaller teams may prefer a focused analytics platform.

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Joshua Edwards

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