SoftServe vs DataArt: full comparison for 2026
Last updated: July 2026
Quick verdict
SoftServe (4.0/5) edges ahead of DataArt (3.9/5) overall. SoftServe is the better choice for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work.. DataArt is the stronger option for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner.. The right choice depends on your project size, budget, and required tech stack.
SoftServe vs DataArt: head-to-head summary
| Criterion | SoftServe | DataArt |
|---|---|---|
| Founded | 1993 | 1997 |
| HQ | Austin, Texas, USA / Lviv, Ukraine | New York, USA |
| Team size | 10,000+ | 5,001–10,000 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work. | Enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner. |
| Pricing model | Fixed project, dedicated team, staff augmentation | Fixed project, dedicated team, staff augmentation |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, Azure | Python, Azure OpenAI, AWS |
| Industries served | Healthcare, Retail, Financial Services, Technology/SaaS | Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality |
SoftServe vs DataArt: overview
SoftServe
SoftServe is a digital engineering and consulting company founded in 1993 in Lviv, Ukraine, with US headquarters in Austin, Texas and European headquarters remaining in Lviv. Reported headcount ranges from roughly 10,000 to 12,000 employees across 58 offices in 14 countries, with AI/ML, data and analytics, and cloud among its core practice areas.
DataArt
DataArt is a software engineering and consulting company founded in 1997 in New York by Eugene Goland, with roughly 5,400 employees across more than 30 locations spanning the US, Europe, Latin America, India, and the UAE. The firm added an Advanced AI Strategy Consulting service line in 2024, delivering data, analytics, and AI/ML work alongside its long-standing core software engineering practice.
Services and capabilities: SoftServe vs DataArt
| Capability | SoftServe | DataArt |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| AI strategy consulting | ✗ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: SoftServe vs DataArt
| Framework / platform | SoftServe | DataArt |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | ✓ |
| LangChain | N/A | N/A |
Pricing comparison: SoftServe vs DataArt
| Criterion | SoftServe | DataArt |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: SoftServe vs DataArt
| Dimension | SoftServe | DataArt |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Healthcare, Retail, Financial Services | Financial Services, Media & Entertainment, Healthcare |
| Best use cases | Enterprise clients needing AI/ML delivered as part of a broader digital engineering program, Healthcare or retail programs combining cloud migration with applied ML | Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery, Media or travel companies needing broad-based data and AI/ML capability |
| Typical project type | Fixed project | Fixed project |
SoftServe vs DataArt: pros and cons
| SoftServe | |
|---|---|
| + | 32 years of operating history, among the longest on this list |
| + | 10,000+ employees across 58 offices supports very large, globally distributed programs |
| + | AI/ML practice sits alongside mature cloud, data, and IoT capabilities from the same firm |
| + | Dual US/Ukraine headquarters structure has proven resilient through a long operating history |
| - | AI/ML is one of several major practice areas rather than the company's sole focus |
| - | Very large scale may mean less senior-level access on smaller engagements than boutique specialists |
| - | Minimum engagement size and standard pricing not publicly disclosed |
| DataArt | |
|---|---|
| + | 28 years of continuous operation under the same founder-led leadership |
| + | 30+ global delivery locations across five regions supports broad geographic coverage |
| + | Named AI Strategy Consulting service line launched in 2024 shows deliberate recent AI investment |
| + | Broad industry coverage spanning finance, media, healthcare, and travel |
| - | AI Strategy Consulting is a comparatively recent addition (2024) versus firms with a decade-plus dedicated AI/ML focus |
| - | 5,400-employee scale sits within a broad general software-engineering practice rather than an AI-first firm |
| - | Minimum engagement size not publicly disclosed |
Who should choose SoftServe?
SoftServe is the right choice for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work..
32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Financial Services, Technology/SaaS.
Who should choose DataArt?
DataArt is the right choice for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner..
28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality.
Decision matrix: SoftServe vs DataArt
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoftServe |
| You need a large dedicated team for an ongoing programme | SoftServe |
| Your budget is at the lower end | Compare: SoftServe (Not published) vs DataArt (Not published) |
| You need specialist depth in a specific vertical | DataArt |
| You need staff augmentation or team extension | SoftServe |
| You need consulting before committing to a build | DataArt |
Use case fit: SoftServe vs DataArt
| Use case | SoftServe fit | DataArt fit | Winner |
|---|---|---|---|
| Enterprise clients needing AI/ML delivered as part of a broader digital engineering program | Strong | Strong | Both equally |
| Healthcare or retail programs combining cloud migration with applied ML | Strong | Limited | SoftServe |
| Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery | Limited | Strong | DataArt |
| Media or travel companies needing broad-based data and AI/ML capability | Limited | Strong | DataArt |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | SoftServe |
Verdict: SoftServe vs DataArt
SoftServe (4.0/5) is the stronger overall choice for most Machine Learning Development projects. 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots.. It is best for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work..
DataArt (3.9/5) is the better choice when enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner.. If your situation matches those criteria, DataArt is a competitive option.
Related comparisons
SoftServe vs DataArt FAQ
Is SoftServe better than DataArt?
SoftServe (4.0/5) scores higher overall, but "better" depends on your use case. SoftServe is better for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work.. DataArt is better for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner..
How do SoftServe and DataArt differ in pricing?
SoftServe uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. DataArt uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: SoftServe or DataArt?
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 SoftServe and DataArt?
SoftServe's primary differentiator is: 32 years of continuous operation spanning both a us public-market presence and deep ukrainian engineering roots.. DataArt's primary differentiator is: 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated ai strategy consulting service line.. They also differ in team size (10,000+ vs 5,001–10,000), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Financial Services, Media & Entertainment).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.