Artefact vs Centric Consulting: full comparison for 2026
Last updated: July 2026
Quick verdict
Artefact (4.5/5) edges ahead of Centric Consulting (3.7/5) overall. Artefact is the better choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. Centric Consulting is the stronger option for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. The right choice depends on your project size, budget, and required tech stack.
Artefact vs Centric Consulting: head-to-head summary
| Criterion | Artefact | Centric Consulting |
|---|---|---|
| Founded | 2014 | 1999 |
| HQ | Paris, France | Columbus, OH |
| Team size | 1,500 | 800+ |
| Rating | 4.5 / 5 | 3.7 / 5 |
| Best for | Large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy | US mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation |
| Pricing model | T&M, retainer | T&M, retainer |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, Vertex AI, Azure ML | Python, Azure, AWS |
| Industries served | retail, healthcare, fintech, media, telecommunications, FMCG | financial, healthcare, manufacturing, retail, logistics |
Artefact vs Centric Consulting: overview
Artefact
Artefact is a global consulting company founded in 2014, headquartered in Paris, with 1,500 employees across 33 offices in 26 countries. The firm partners with 1,000+ clients including Samsung, L'Oréal, Orange, and Sanofi, providing services spanning data strategy, ML model development, AI factory deployments, and cloud AI platforms. Artefact covers end-to-end ML lifecycles for large enterprises seeking industrial-scale AI adoption. (Employee count and client names per Artefact official website.)
Centric Consulting
Centric Consulting is a US-based management consulting firm with 25 years of experience, headquartered in Columbus, Ohio, with 800+ professionals. The company provides AI strategy, ML consulting, cloud solutions, and cyber risk management, positioning ML as a tool for business forecasting, fraud detection, and process optimisation within broader transformation programmes. (Founding year and scale per Centric Consulting official website.)
Services and capabilities: Artefact vs Centric Consulting
| Capability | Artefact | Centric Consulting |
|---|---|---|
| Custom ML build | ✓ | ✗ |
| ML consulting | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP / LLM | ✓ | ✗ |
| Predictive analytics | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✗ |
Tech stack comparison: Artefact vs Centric Consulting
| Framework / platform | Artefact | Centric Consulting |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | ✓ | N/A |
Pricing comparison: Artefact vs Centric Consulting
| Criterion | Artefact | Centric Consulting |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| Engagement models | T&M, Retainer, Dedicated team | T&M, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Artefact vs Centric Consulting
| Dimension | Artefact | Centric Consulting |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | retail, healthcare, fintech | financial, healthcare, manufacturing |
| Best use cases | Enterprise AI strategy and ML roadmap, AI factory deployment for CPG brand | ML strategy within business transformation, Forecasting model for manufacturing operations |
| Typical project type | T&M | T&M |
Artefact vs Centric Consulting: pros and cons
| Artefact | |
|---|---|
| + | Global delivery footprint: 33 offices in 26 countries |
| + | Named clients include Samsung, L'Oréal, Orange, and Sanofi |
| + | End-to-end: from data strategy to production AI factory |
| + | Strong on cloud AI platforms: Vertex AI, Azure ML, AWS SageMaker |
| + | Industry-specific ML expertise across retail, healthcare, and FMCG |
| - | Minimum engagement well above startup budgets — best suited to large programmes |
| - | Less suited to short fixed-price ML projects or prototypes |
| Centric Consulting | |
|---|---|
| + | 25 years of US management consulting experience — strong business context |
| + | ML integrated within broader transformation programme delivery |
| + | Multiple US locations — accessible for on-site engagement |
| + | Azure and cloud expertise alongside ML consulting |
| - | ML is an ancillary offering within management consulting — not ML-first |
| - | Higher overhead than boutique ML agencies — pricing reflects consulting firm structure |
| - | Less suited to pure technical ML builds or data engineering |
Who should choose Artefact?
Artefact is the right choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy.
Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm. Minimum engagement starts at $50K+. Works best with clients in retail, healthcare, fintech, media, telecommunications, FMCG.
Who should choose Centric Consulting?
Centric Consulting is the right choice for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.
Business-outcome ML consulting — AI within management transformation, not pure technology delivery. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.
Decision matrix: Artefact vs Centric Consulting
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Artefact |
| Your budget is at the lower end | Artefact |
| You need specialist depth in a specific vertical | Artefact |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Artefact |
Use case fit: Artefact vs Centric Consulting
| Use case | Artefact fit | Centric Consulting fit | Winner |
|---|---|---|---|
| Enterprise AI strategy and ML roadmap | Strong | Strong | Both equally |
| AI factory deployment for CPG brand | Strong | Strong | Both equally |
| ML strategy within business transformation | Strong | Strong | Both equally |
| Forecasting model for manufacturing operations | Limited | Strong | Centric Consulting |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Artefact vs Centric Consulting
Artefact (4.5/5) is the stronger overall choice for most Machine Learning projects. Enterprise ML at 1,500-consultant scale across 26 countries — strategy, deployment, and AI factory in one firm. It is best for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy.
Centric Consulting (3.7/5) is the better choice when uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation. If your situation matches those criteria, Centric Consulting is a competitive option.
Related comparisons
Artefact vs Centric Consulting FAQ
Is Artefact better than Centric Consulting?
Artefact (4.5/5) scores higher overall, but "better" depends on your use case. Artefact is better for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. Centric Consulting is better for uS mid-to-large enterprises needing ML consulting integrated within business strategy and management transformation.
How do Artefact and Centric Consulting differ in pricing?
Artefact uses t&m, retainer pricing with a minimum engagement of $50K+. Centric Consulting uses t&m, retainer pricing with a minimum engagement of $50K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Artefact or Centric Consulting?
Artefact is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Artefact and Centric Consulting?
Artefact's primary differentiator is: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm. Centric Consulting's primary differentiator is: business-outcome ml consulting — ai within management transformation, not pure technology delivery. They also differ in team size (1,500 vs 800+), minimum engagement ($50K+ vs $50K+), and primary industries served (retail, healthcare vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.