Artefact vs Avenga: full comparison for 2026
Last updated: July 2026
Quick verdict
Artefact (4.5/5) edges ahead of Avenga (3.9/5) overall. Artefact is the better choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. Avenga is the stronger option for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm. The right choice depends on your project size, budget, and required tech stack.
Artefact vs Avenga: head-to-head summary
| Criterion | Artefact | Avenga |
|---|---|---|
| Founded | 2014 | 2019 |
| HQ | Paris, France | Prague, Czech Republic |
| Team size | 1,500 | 3,884 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy | European enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm |
| Pricing model | T&M, retainer | T&M, dedicated team |
| 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, retail, telecommunications, manufacturing |
Artefact vs Avenga: 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.)
Avenga
Avenga was formed in 2019 through the merger of multiple European IT firms and is headquartered in Prague, Czech Republic, with approximately 3,884 employees as of December 2025 (per Avenga LinkedIn). The company provides AI, ML, and digital transformation services for enterprise clients, drawing on its merged entities' combined delivery capabilities across finance, healthcare, and retail. (Employee count per Avenga LinkedIn, December 2025; merger history per Avenga Wikipedia.)
Services and capabilities: Artefact vs Avenga
| Capability | Artefact | Avenga |
|---|---|---|
| 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 Avenga
| Framework / platform | Artefact | Avenga |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Azure ML | ✓ | N/A |
Pricing comparison: Artefact vs Avenga
| Criterion | Artefact | Avenga |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| Engagement models | T&M, Retainer, Dedicated team | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Artefact vs Avenga
| Dimension | Artefact | Avenga |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | retail, healthcare, fintech | financial, healthcare, retail |
| Best use cases | Enterprise AI strategy and ML roadmap, AI factory deployment for CPG brand | Enterprise ML platform within digital transformation programme, Data modernisation with ML integration for financial services |
| Typical project type | T&M | T&M |
Artefact vs Avenga: 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 |
| Avenga | |
|---|---|
| + | 3,800+ engineers — strong capacity for large-scale programmes |
| + | European delivery presence across multiple countries |
| + | Multi-sector ML experience: finance, healthcare, retail, telecom |
| - | Formed from merger in 2019 — company culture and process integration still maturing |
| - | ML is part of broader IT consulting — not ML-first |
| - | Large minimum engagements not suited to startups or SMBs |
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 Avenga?
Avenga is the right choice for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm.
Formed from a 2019 merger — 3,800+ engineers across Europe for large ML and digital transformation programmes. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, retail, telecommunications, manufacturing.
Decision matrix: Artefact vs Avenga
| 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 Avenga
| Use case | Artefact fit | Avenga fit | Winner |
|---|---|---|---|
| Enterprise AI strategy and ML roadmap | Strong | Strong | Both equally |
| AI factory deployment for CPG brand | Strong | Strong | Both equally |
| Enterprise ML platform within digital transformation programme | Strong | Strong | Both equally |
| Data modernisation with ML integration for financial services | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Artefact vs Avenga
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.
Avenga (3.9/5) is the better choice when european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm. If your situation matches those criteria, Avenga is a competitive option.
Related comparisons
Artefact vs Avenga FAQ
Is Artefact better than Avenga?
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. Avenga is better for european enterprise clients seeking large-scale ML and digital transformation from a well-resourced regional firm.
How do Artefact and Avenga differ in pricing?
Artefact uses t&m, retainer pricing with a minimum engagement of $50K+. Avenga uses t&m, dedicated team 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 Avenga?
Avenga 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 Avenga?
Artefact's primary differentiator is: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm. Avenga's primary differentiator is: formed from a 2019 merger — 3,800+ engineers across europe for large ml and digital transformation programmes. They also differ in team size (1,500 vs 3,884), 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.