ELEKS vs DataArt: full comparison for 2026
Last updated: July 2026
Quick verdict
ELEKS (3.6/5) edges ahead of DataArt (3.6/5) overall. ELEKS is the better choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. DataArt is the stronger option for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs DataArt: head-to-head summary
| Criterion | ELEKS | DataArt |
|---|---|---|
| Founded | 1991 | 1997 |
| HQ | Lviv, Ukraine / Chicago, IL, USA | New York, NY, USA |
| Team size | 2,000–3,000 | 6,000+ |
| Rating | 3.6 / 5 | 3.6 / 5 |
| Best for | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes | Mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery |
| Pricing model | Dedicated team, T&M, fixed project | T&M, dedicated team |
| Min. engagement | $100K | $50K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, Scikit-learn, TensorFlow |
| Industries served | Healthcare, Manufacturing, Fintech, Retail, Logistics | Fintech, Healthcare, SaaS, Logistics, E-commerce |
ELEKS vs DataArt: overview
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
DataArt
DataArt is a global engineering firm founded in 1997 and headquartered in New York, New York, with 6,000+ specialists across 20+ countries. The firm's AI and ML services deliver solutions in predictive analytics, natural language processing, data mining, and computer vision, integrated within product engineering and digital transformation delivery. DataArt serves financial services, healthcare, media, travel, and technology clients. The firm operates with a flat structure emphasising direct engineer-to-client interaction over multi-layer account management.
Services and capabilities: ELEKS vs DataArt
| Capability | ELEKS | DataArt |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP & text analytics | ✗ | ✓ |
| MLOps & deployment | ✓ | ✗ |
| Generative AI | ✗ | ✗ |
| ML consulting & strategy | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: ELEKS vs DataArt
| Framework / platform | ELEKS | DataArt |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | ✓ | N/A |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: ELEKS vs DataArt
| Criterion | ELEKS | DataArt |
|---|---|---|
| Minimum engagement | $100K | $50K |
| Engagement models | Dedicated team, Time & materials, Fixed project | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ELEKS vs DataArt
| Dimension | ELEKS | DataArt |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Manufacturing, Fintech | Fintech, Healthcare, SaaS |
| Best use cases | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling | NLP-powered document analysis for financial services compliance and reporting, Predictive analytics for healthcare patient risk stratification and monitoring |
| Typical project type | Dedicated team | Time & materials |
ELEKS vs DataArt: pros and cons
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
| DataArt | |
|---|---|
| + | 29-year engineering track record across financial services, healthcare, and media |
| + | 6,000+ specialists provide large programme delivery capacity across 20+ countries |
| + | Flat organisational structure provides direct senior ML engineer access on projects |
| + | Multi-country delivery network for global client timezone and language coverage |
| + | Strong NLP and predictive analytics capability within product engineering context |
| - | ML sits within a broad engineering firm — not a specialist ML company |
| - | T&M and dedicated team models less suited to clients seeking fixed-price delivery |
| - | Less emphasis on cutting-edge generative AI research than newer AI-first firms |
Who should choose ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Who should choose DataArt?
DataArt is the right choice for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery.
29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects. Minimum engagement starts at $50K. Works best with clients in Fintech, Healthcare, SaaS, Logistics, E-commerce.
Decision matrix: ELEKS vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ELEKS |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | DataArt |
| You need specialist depth in a specific vertical | ELEKS |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ELEKS |
Use case fit: ELEKS vs DataArt
| Use case | ELEKS fit | DataArt fit | Winner |
|---|---|---|---|
| Market forecasting ML for retail sales planning and inventory optimisation | Strong | Limited | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Strong | Strong | Both equally |
| NLP-powered document analysis for financial services compliance and reporting | Limited | Strong | DataArt |
| Predictive analytics for healthcare patient risk stratification and monitoring | Limited | Strong | DataArt |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ELEKS vs DataArt
ELEKS (3.6/5) is the stronger overall choice for most Machine Learning Development projects. 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. It is best for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
DataArt (3.6/5) is the better choice when mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery. If your situation matches those criteria, DataArt is a competitive option.
Related comparisons
ELEKS vs DataArt FAQ
Is ELEKS better than DataArt?
ELEKS (3.6/5) scores higher overall, but "better" depends on your use case. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. DataArt is better for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery.
How do ELEKS and DataArt differ in pricing?
ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. DataArt 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: ELEKS or DataArt?
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 company before shortlisting.
What are the main differences between ELEKS and DataArt?
ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and us presence in chicago for north american enterprise clients. DataArt's primary differentiator is: 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ml engineers on client projects. They also differ in team size (2,000–3,000 vs 6,000+), minimum engagement ($100K vs $50K), and primary industries served (Healthcare, Manufacturing vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.