DataArt vs ScienceSoft: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of ScienceSoft (3.9/5) overall. DataArt is the better choice for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner.. ScienceSoft is the stronger option for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. The right choice depends on your project size, budget, and required tech stack.
DataArt vs ScienceSoft: head-to-head summary
| Criterion | DataArt | ScienceSoft |
|---|---|---|
| Founded | 1997 | 1989 |
| HQ | New York, USA | McKinney, Texas, USA |
| Team size | 5,001–10,000 | 501–1,000 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner. | Companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs. |
| Pricing model | Fixed project, dedicated team, staff augmentation | Fixed project and Time & Material |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, TensorFlow, AWS |
| Industries served | Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality | Healthcare, Retail, Financial Services, Manufacturing |
DataArt vs ScienceSoft: overview
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.
ScienceSoft
ScienceSoft is an IT consulting and software development company founded in 1989, headquartered in McKinney, Texas, with additional offices in Europe, the UAE, and Vietnam. The firm reports more than 750 IT professionals and over 3,600 delivered projects across its 36-year history, with AI/ML positioned as one core service area among IT strategy consulting, cloud, cybersecurity, and quality assurance.
Services and capabilities: DataArt vs ScienceSoft
| Capability | DataArt | ScienceSoft |
|---|---|---|
| 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: DataArt vs ScienceSoft
| Framework / platform | DataArt | ScienceSoft |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | ✓ | N/A |
| LangChain | N/A | N/A |
Pricing comparison: DataArt vs ScienceSoft
| Criterion | DataArt | ScienceSoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Time & Material |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: DataArt vs ScienceSoft
| Dimension | DataArt | ScienceSoft |
|---|---|---|
| Best company size | Enterprise | Mid-market to enterprise |
| Best industries | Financial Services, Media & Entertainment, Healthcare | Healthcare, Retail, Financial Services |
| Best use cases | Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery, Media or travel companies needing broad-based data and AI/ML capability | Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor, Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component |
| Typical project type | Fixed project | Fixed project |
DataArt vs ScienceSoft: pros and cons
| 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 |
| ScienceSoft | |
|---|---|
| + | 36 years of continuous operation and 3,600+ delivered projects (per company website) among the longest track records reviewed here |
| + | Over half of staff cited as senior-level specialists (per company website) |
| + | Broad IT service catalog means AI/ML can be bundled with cloud, security, or QA from the same vendor |
| + | Multi-region office presence (Europe, UAE, Vietnam) beyond the US HQ |
| - | AI/ML is one of several core services (alongside cloud, cybersecurity, QA) rather than the firm's defining specialty |
| - | Less AI-first branding or ML-specific certification profile than boutique AI consultancies on this list |
| - | Minimum engagement size not publicly disclosed |
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.
Who should choose ScienceSoft?
ScienceSoft is the right choice for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..
36 years of continuous IT consulting history, one of the longest track records among firms on this list.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Financial Services, Manufacturing.
Decision matrix: DataArt vs ScienceSoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | DataArt |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | Compare: DataArt (Not published) vs ScienceSoft (Not published) |
| You need specialist depth in a specific vertical | DataArt |
| You need staff augmentation or team extension | DataArt |
| You need consulting before committing to a build | DataArt |
Use case fit: DataArt vs ScienceSoft
| Use case | DataArt fit | ScienceSoft fit | Winner |
|---|---|---|---|
| Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery | Strong | Limited | DataArt |
| Media or travel companies needing broad-based data and AI/ML capability | Strong | Limited | DataArt |
| Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor | Strong | Strong | Both equally |
| Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component | Limited | Strong | ScienceSoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs ScienceSoft
DataArt (3.9/5) is the stronger overall choice for most Machine Learning Development projects. 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line.. It is best for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner..
ScienceSoft (3.9/5) is the better choice when companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. If your situation matches those criteria, ScienceSoft is a competitive option.
Related comparisons
DataArt vs ScienceSoft FAQ
Is DataArt better than ScienceSoft?
DataArt (3.9/5) scores higher overall, but "better" depends on your use case. DataArt is better for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner.. ScienceSoft is better for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..
How do DataArt and ScienceSoft differ in pricing?
DataArt uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. ScienceSoft uses fixed project and time & material 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: DataArt or ScienceSoft?
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 ScienceSoft?
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.. ScienceSoft's primary differentiator is: 36 years of continuous it consulting history, one of the longest track records among firms on this list.. They also differ in team size (5,001–10,000 vs 501–1,000), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Media & Entertainment vs Healthcare, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.