DataArt vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of ELEKS (3.9/5) overall. DataArt is the better choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. 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.
DataArt vs ELEKS: head-to-head summary
| Criterion | DataArt | ELEKS |
|---|---|---|
| Founded | 1997 | 1991 |
| HQ | New York, NY | Lviv, Ukraine |
| Team size | 5,700+ | 2,000+ |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth | Enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity |
| Pricing model | T&M, dedicated team | T&M, dedicated team |
| Min. engagement | $50K+ | $50K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | fintech, healthcare, travel, media, retail | financial, healthcare, manufacturing, retail, logistics |
DataArt vs ELEKS: overview
DataArt
DataArt was founded in 1997 by Eugene Goland and is headquartered in New York, with offices across 15 global locations and 5,700+ employees. The company delivers AI and ML services — predictive analytics, NLP, data mining, and computer vision — alongside broader software engineering for clients in fintech, healthcare, and travel. DataArt was named an Inc. 5000 honoree in 2024. ML is one service line among many in DataArt's broad software engineering portfolio. (Employee count and founding year per DataArt Wikipedia and 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: DataArt vs ELEKS
| Capability | DataArt | 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: DataArt vs ELEKS
| Framework / platform | DataArt | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
Pricing comparison: DataArt vs ELEKS
| Criterion | DataArt | ELEKS |
|---|---|---|
| Minimum engagement | $50K+ | $50K+ |
| Engagement models | T&M, Dedicated team, Retainer | T&M, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataArt vs ELEKS
| Dimension | DataArt | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | fintech, healthcare, travel | financial, healthcare, manufacturing |
| Best use cases | ML feature integration into existing fintech platform, Travel recommendation engine | ML integration into enterprise ERP or CRM, Computer vision for manufacturing quality control |
| Typical project type | T&M | T&M |
DataArt vs ELEKS: pros and cons
| DataArt | |
|---|---|
| + | 5,700+ engineers — sufficient capacity for large parallel programmes |
| + | 29 years of software delivery history — low company risk |
| + | Strong fintech and travel sector domain depth |
| + | Inc. 5000 2024 — verified revenue growth |
| + | 15 global offices for enterprise procurement alignment |
| - | ML is one practice among many — not a pure ML specialist |
| - | Minimum engagement and overhead suited to enterprise, not startups |
| - | Large firm processes can reduce speed relative to boutique ML agencies |
| 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 DataArt?
DataArt is the right choice for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.
1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. Minimum engagement starts at $50K+. Works best with clients in fintech, healthcare, travel, media, retail.
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: DataArt 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 | DataArt |
| Your budget is at the lower end | DataArt |
| You need specialist depth in a specific vertical | DataArt |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | DataArt |
Use case fit: DataArt vs ELEKS
| Use case | DataArt fit | ELEKS fit | Winner |
|---|---|---|---|
| ML feature integration into existing fintech platform | Strong | Strong | Both equally |
| Travel recommendation engine | Strong | Limited | DataArt |
| ML integration into enterprise ERP or CRM | Strong | Strong | Both equally |
| Computer vision for manufacturing quality control | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs ELEKS
DataArt (3.9/5) is the stronger overall choice for most Machine Learning projects. 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ML and software in fintech and travel. It is best for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth.
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
DataArt vs ELEKS FAQ
Is DataArt better than ELEKS?
DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for enterprises wanting ML services from a large, established software engineering firm with fintech or travel domain depth. ELEKS is better for enterprise clients needing ML within a full-service technology consulting engagement with long-term continuity.
How do DataArt and ELEKS differ in pricing?
DataArt uses t&m, dedicated team 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: DataArt or ELEKS?
DataArt 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 DataArt and ELEKS?
DataArt's primary differentiator is: 1997-founded, 5,700-engineer global firm — enterprise scale and continuity across ml and software in fintech and travel. 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 (5,700+ vs 2,000+), minimum engagement ($50K+ vs $50K+), and primary industries served (fintech, healthcare vs financial, healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.