DataArt vs Intellectsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Intellectsoft (4.0/5) edges ahead of DataArt (3.9/5) overall. Intellectsoft is the better choice for enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history.. 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.
DataArt vs Intellectsoft: head-to-head summary
| Criterion | DataArt | Intellectsoft |
|---|---|---|
| Founded | 1997 | 2007 |
| HQ | New York, USA | New York, USA |
| Team size | 5,001–10,000 | 201–500 |
| Rating | 3.9 / 5 | 4.0 / 5 |
| Best for | Enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner. | Enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history. |
| Pricing model | Fixed project, dedicated team, staff augmentation | Fixed project and dedicated team |
| Min. engagement | Not published | $30K |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, TensorFlow, AWS |
| Industries served | Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality | Financial Services, Automotive, Manufacturing, Retail |
DataArt vs Intellectsoft: 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.
Intellectsoft
Intellectsoft is a custom software development and AI engineering company founded in 2007, headquartered in New York with additional offices including Palo Alto and Miami. Reported team size varies notably by source, from roughly 150 engineers across 10 offices to 800 total employees, and the company names enterprise clients including EY, Harley-Davidson, the London Stock Exchange, Qualcomm, Jaguar, and Guinness (per company website; independently unverifiable exact scope of each engagement).
Services and capabilities: DataArt vs Intellectsoft
| Capability | DataArt | Intellectsoft |
|---|---|---|
| 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 Intellectsoft
| Framework / platform | DataArt | Intellectsoft |
|---|---|---|
| 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 Intellectsoft
| Criterion | DataArt | Intellectsoft |
|---|---|---|
| Minimum engagement | Not published | $30K |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: DataArt vs Intellectsoft
| Dimension | DataArt | Intellectsoft |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Media & Entertainment, Healthcare | Financial Services, Automotive, Manufacturing |
| 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 | Enterprises wanting AI-powered application development from a firm with recognizable brand-name client history, Automotive or financial-services clients needing custom software with an embedded AI component |
| Typical project type | Fixed project | Fixed project |
DataArt vs Intellectsoft: 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 |
| Intellectsoft | |
|---|---|
| + | 18 years of operating history with named, verifiable-brand enterprise clients rather than only anonymized case studies |
| + | AI applied 'as an engineering practice' across the delivery lifecycle rather than bolted on as a separate service |
| + | Multi-office US presence (New York, Palo Alto, Miami) supports domestic client proximity |
| + | Cited 40% faster delivery claim tied to AI-driven engineering practices (per company website; independently unverifiable) |
| - | Reported headcount varies unusually widely by source (150 to 800), warranting direct confirmation of current team size |
| - | AI/ML is positioned as an engineering practice enhancement rather than the firm's sole specialization |
| - | Named clients don't specify which were AI/ML-specific engagements versus broader software development work |
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 Intellectsoft?
Intellectsoft is the right choice for enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history..
Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list.. Minimum engagement starts at $30K. Works best with clients in Financial Services, Automotive, Manufacturing, Retail.
Decision matrix: DataArt vs Intellectsoft
| 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 Intellectsoft ($30K) |
| 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 Intellectsoft
| Use case | DataArt fit | Intellectsoft fit | Winner |
|---|---|---|---|
| Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery | Strong | Strong | Both equally |
| Media or travel companies needing broad-based data and AI/ML capability | Strong | Limited | DataArt |
| Enterprises wanting AI-powered application development from a firm with recognizable brand-name client history | Strong | Strong | Both equally |
| Automotive or financial-services clients needing custom software with an embedded AI component | Limited | Strong | Intellectsoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Intellectsoft
Intellectsoft (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list.. It is best for enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history..
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
DataArt vs Intellectsoft FAQ
Is DataArt better than Intellectsoft?
Intellectsoft (4.0/5) 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.. Intellectsoft is better for enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history..
How do DataArt and Intellectsoft differ in pricing?
DataArt uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. Intellectsoft uses fixed project and dedicated team pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Intellectsoft?
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 Intellectsoft?
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.. Intellectsoft's primary differentiator is: named enterprise client roster (ey, harley-davidson, london stock exchange, qualcomm, jaguar) rare among mid-size firms on this list.. They also differ in team size (5,001–10,000 vs 201–500), minimum engagement (Not published vs $30K), and primary industries served (Financial Services, Media & Entertainment vs Financial Services, Automotive).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.