Data-driven transformation should feel like progress, yet petabytes of raw information often sit unused, proofs of concept stall, and siloed teams debate strategy while competitors surge ahead. Artefact halts that stagnation by fusing the intuition of “Art” with the rigor of “Fact.” Artefact streamlines AI scaling by merging technical excellence with business alignment. It transforms costly pilots into measurable enterprise capabilities. As a Premier Google Cloud partner and 2025 AI Partner of the Year for EMEA, it dismantles barriers between business vision and technical reality, builds secure data foundations, deploys tailored AI, and upskills employees so isolated wins scale across the enterprise and measurable impact returns to the agenda.
Boards keep circling the same three goals: turn new AI breakthroughs into clear profits, make data second nature for everyone, and build a cloud backbone strong enough to grow with the business. Artefact tackles each.
It moves clients from isolated proofs of concept to fleets of Gemini, Imagen-3, and Veo-2 agents that create content, answer customers, and automate procurement. Its School of Data, AI Days, and GenAI hackathons train thousands, while BigQuery, Vertex AI, and Looker anchor every architecture.
Prospects often arrive with a working pilot that stalls in one department or with data trapped in silos between IT and business. Artefact begins with a maturity assessment, then builds a unified Google Cloud backbone and applies a repeatable delivery engine that blends secure platforms, domain specialists, product owners and seasoned engineers. It turns early wins into repeatable capabilities in sales, supply chain, and finance. Through regular workshops, face-to-face coaching, and working shoulder to shoulder, it puts people at the front and centre of every rollout, focusing more on how teams work. Artefact aims at enabling teams to achieve autonomy to take complete ownership.
Artefact’s mission is simple: accelerate data and AI adoption for positive impact. Efficiency and advantage matter, yet so does human experience. Replacing repetitive tasks with intelligent assistants frees employees for judgment and creativity. Customers enjoy personalized journeys and secure chatbots that resolve issues instantly, while society benefits when demand forecasting algorithms cut retail food waste. Small, cross-functional teams bring business users into each project from day one, making sure every sprint solves a real problem.
The two core offerings of the company keep the work grounded. Its Data and AI Strategy maps out a practical, high-value roadmap and ROI governance model, while the Agentic AI Factory brings that plan to life through a robust platform, subject-matter specialists, and top-tier engineers. The outcome is production tools for RFP automation, dynamic content generation, and supply chain optimization, all backed by continuous upskilling so client teams own and extend the solutions long after launch.
We merge human creativity with data facts, scaling generative AI on Google Cloud so every employee turns insight into action and every pilot becomes enterprise-wide, measurable, sustained value. — Ghadi Hobeika, CEO, North America
Results on the ground prove the approach.
Carrefour’s bakeries now rely on a Google Cloud predictive model to determine daily output, reducing waste and increasing profit. Leading U.S. CPG Retailer known for product innovation taps always-on “synthetic personas” that pull scattered customer data into clear insights, speeding campaigns and boosting returns. Global Luxury Fashion leader cuts both cost and turnaround by generating brand-ready images and videos on Google Cloud instead of staging traditional photo shoots.
Artefact pairs hands-on engineering with clear-eyed consulting. Sector-focused squads in luxury, retail, consumer goods, and finance build tools that slide straight into everyday workflows, while boot camps and workshops keep ideas moving across the whole firm.
That spirit shows in the Adopt AI Summit: Europe’s largest AI gathering, held on November 25-26 at the Grand Palais in Paris. Welcoming over 20,000 attendees, 250 exhibitors, and 500 speakers, including leaders from Airbus, Carrefour, Aramco, Siemens, and Bayer, the business-first event served as a major sequel to President Emmanuel Macron’s AI Action Summit. President Macron himself concluded the first day with a keynote address.
Founded in 2015 after a merger with digital-marketing pioneer NetBooster, Artefact has always straddled two worlds: rigorous consulting and creative brand thinking. That blend still shapes its culture. The firm partners with the Good in Tech academic chair to close the gap between research and practice, and it recently earned the Responsible and Trusted AI label from Labelia Labs, which is an independent proof that its models are built and governed with fairness, transparency, and privacy in mind. Diversity and inclusion sit right beside data quality on every project checklist, because bias-free algorithms start with bias-aware teams.
Delivering on those values takes more than smart people; it also takes repeatable engineering. Artefact applies a strict MLOps discipline to every build, so models refresh smoothly, data drift is spotted early, and proof-of-concept code moves to production without a rewrite. That approach keeps projects alive long after the pilot glow fades, whether the goal is predictive maintenance for an airline or hyper-personalized promos for a grocer.
Growth remains steady on the acquisition front, too. A recent purchase of Berlin-based Explorate AI deepened expertise in the DACH region, and year-round demo corners at events such as VivaTech give clients a hands-on look at new prototypes, from fraud-detection dashboards to low-carbon logistics optimizers. Each move widens the toolkit without losing the firm’s “art meets fact” roots.
The Artefact School of Data has already upskilled over 4,000 professionals and posts an 86% employability rate for graduates, while the firm’s internal academy curates more than 1,500 courses and knowledge-sharing sessions every year. Consultants rotate through boot camps on cloud engineering, AI ethics, and agile delivery, ensuring fresh thinking flows straight into client work.
Impact goes beyond commercial projects. Through “Artefact 4 Good,” volunteers pair data science with humanitarian goals, such as helping the Carnot CALYM Institute uncover new insights in lymphoma research, showing that the same algorithms guiding retail forecasts or media planning can also accelerate medical breakthroughs. These additional dimensions, such as borderless delivery, constant learning, and purposeful tech-for-good, round out the picture of a company that pairs day-to-day pragmatism with a long-term vision for how data should serve business and society alike.
Cinven’s recent investment gives Artefact the muscle to triple in size by 2030, make 20 strategic acquisitions, and pour more resources into talent and research. The result will be deeper technology, a wider global footprint, and an even stronger claim as the leading independent data and AI consultancy, and a Google partner to watch. Clients see that momentum in solutions that move quickly from fresh insight to enterprise-wide, lasting gains.