Artefact vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
Artefact (4.5/5) edges ahead of ELEKS (3.9/5) overall. Artefact is the better choice for large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy. ELEKS is the stronger option for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. The right choice depends on your project size, budget, and required tech stack.
Artefact vs ELEKS: head-to-head summary
| Criterion | Artefact | ELEKS |
|---|---|---|
| Founded | 2014 | 1991 |
| HQ | Paris, France | Lviv, Ukraine |
| Team size | 1,500 | 2,000+ |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Large enterprises and major consumer brands seeking industrial-scale ML adoption and data strategy | Enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity |
| Pricing model | T&M, retainer | T&M, dedicated team |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, Vertex AI, Azure ML | Python, TensorFlow, PyTorch |
| Industries served | retail, healthcare, fintech, media, telecommunications, FMCG | financial, healthcare, manufacturing, retail, logistics |
Artefact vs ELEKS: 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.)
ELEKS
ELEKS was established in 1991 and is headquartered in Lviv, Ukraine, with offices across Europe and North America. The company has 2,000+ engineers and delivers technology consulting, AI/ML services, and enterprise software for Fortune 500 clients globally. ML services include predictive analytics, computer vision, NLP, and intelligent automation. ELEKS celebrated its 30th anniversary in 2021. (Founding year and team size per ELEKS official website and KyivPost article.)
Services and capabilities: Artefact vs ELEKS
| Capability | Artefact | ELEKS |
|---|---|---|
| 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 ELEKS
| Framework / platform | Artefact | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | ✓ | N/A |
| Azure ML | ✓ | N/A |
Pricing comparison: Artefact vs ELEKS
| Criterion | Artefact | ELEKS |
|---|---|---|
| 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 ELEKS
| Dimension | Artefact | ELEKS |
|---|---|---|
| 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 integration into enterprise ERP or CRM, Computer vision for manufacturing quality control |
| Typical project type | T&M | T&M |
Artefact vs ELEKS: 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 |
| ELEKS | |
|---|---|
| + | 30+ years of enterprise delivery history — very low company risk |
| + | 2,000+ engineers across multiple disciplines |
| + | Proven Fortune 500 delivery capability across multiple verticals |
| + | Wide industry coverage including manufacturing and financial services |
| - | ML practice is secondary to broader software engineering — not ML-first |
| - | Ukraine-based delivery carries geographic risk considerations for some clients |
| - | Less agile than boutique ML specialists for short exploratory projects |
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 ELEKS?
ELEKS is the right choice for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
30+ years of enterprise software delivery — ML within a stable, large-org structure for risk-averse buyers. Minimum engagement starts at $50K+. Works best with clients in financial, healthcare, manufacturing, retail, logistics.
Decision matrix: Artefact vs ELEKS
| 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 ELEKS
| Use case | Artefact fit | ELEKS fit | Winner |
|---|---|---|---|
| Enterprise AI strategy and ML roadmap | Strong | Strong | Both equally |
| AI factory deployment for CPG brand | Strong | Strong | Both equally |
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Artefact vs ELEKS
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.
ELEKS (3.9/5) is the better choice when enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
Artefact vs ELEKS FAQ
Is Artefact better than ELEKS?
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. ELEKS is better for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
How do Artefact and ELEKS differ in pricing?
Artefact uses t&m, retainer pricing with a minimum engagement of $50K+. ELEKS 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 ELEKS?
ELEKS 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 ELEKS?
Artefact's primary differentiator is: enterprise ml at 1,500-consultant scale across 26 countries — strategy, deployment, and ai factory in one firm. ELEKS's primary differentiator is: 30+ years of enterprise software delivery — ml within a stable, large-org structure for risk-averse buyers. They also differ in team size (1,500 vs 2,000+), 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.