DataArt vs Softweb Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.9/5) edges ahead of Softweb Solutions (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.. Softweb Solutions is the stronger option for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain.. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Softweb Solutions: head-to-head summary
| Criterion | DataArt | Softweb Solutions |
|---|---|---|
| Founded | 1997 | 2006 |
| HQ | New York, USA | Plano, Texas, USA |
| Team size | 5,001–10,000 | 201–500 |
| 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 needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain. |
| Pricing model | Fixed project, dedicated team, staff augmentation | Fixed project and managed services |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Azure OpenAI, AWS | Python, TensorFlow, Azure IoT |
| Industries served | Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality | Manufacturing, Retail, Logistics |
DataArt vs Softweb Solutions: 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.
Softweb Solutions
Softweb Solutions is an AI and IoT-focused digital transformation company founded in 2006 (some sources cite 2004), headquartered in Plano, Texas, with additional offices in Chicago, Dallas, and Ahmedabad, India. The company was acquired by global electronics distributor Avnet in December 2018 and now operates as 'Softweb Solutions — An Avnet Company,' building AI models for image classification, intelligent forecasting, and IoT scenario detection alongside broader data and digital transformation services.
Services and capabilities: DataArt vs Softweb Solutions
| Capability | DataArt | Softweb Solutions |
|---|---|---|
| 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 Softweb Solutions
| Framework / platform | DataArt | Softweb Solutions |
|---|---|---|
| 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 Softweb Solutions
| Criterion | DataArt | Softweb Solutions |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: DataArt vs Softweb Solutions
| Dimension | DataArt | Softweb Solutions |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Media & Entertainment, Healthcare | Manufacturing, Retail, Logistics |
| 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 | Manufacturing or logistics clients needing AI models tied to IoT sensor data, Retail computer-vision projects such as image classification or shelf monitoring |
| Typical project type | Fixed project | Fixed project |
DataArt vs Softweb Solutions: 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 |
| Softweb Solutions | |
|---|---|
| + | Ownership by Avnet (since December 2018) gives direct proximity to hardware and electronics supply chains for IoT-linked AI projects |
| + | Nearly two decades of operating history combining AI and IoT delivery |
| + | Named use cases in image classification and intelligent forecasting show concrete applied AI/ML work |
| + | Multi-country office presence (US, India) supports cost-flexible delivery |
| - | Acquired by Avnet in 2018 — the company now operates as a subsidiary rather than an independent AI consultancy, which can affect contracting flexibility |
| - | Public sources disagree on both founding year (2004 vs. 2006) and employee count (201–500 vs. 501–1,000) |
| - | IoT-centric positioning may be less suited to buyers wanting purely software-based ML with no hardware/device component |
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 Softweb Solutions?
Softweb Solutions is the right choice for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain..
Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Retail, Logistics.
Decision matrix: DataArt vs Softweb Solutions
| 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 Softweb Solutions (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 Softweb Solutions
| Use case | DataArt fit | Softweb Solutions 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 |
| Manufacturing or logistics clients needing AI models tied to IoT sensor data | Limited | Strong | Softweb Solutions |
| Retail computer-vision projects such as image classification or shelf monitoring | Limited | Strong | Softweb Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Softweb Solutions
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..
Softweb Solutions (3.9/5) is the better choice when companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain.. If your situation matches those criteria, Softweb Solutions is a competitive option.
Related comparisons
DataArt vs Softweb Solutions FAQ
Is DataArt better than Softweb Solutions?
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.. Softweb Solutions is better for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain..
How do DataArt and Softweb Solutions differ in pricing?
DataArt uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. Softweb Solutions uses fixed project and managed services 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 Softweb Solutions?
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 Softweb Solutions?
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.. Softweb Solutions's primary differentiator is: backed by avnet, a global electronics distributor, giving unusual hardware/iot supply-chain proximity for ai-on-device projects.. They also differ in team size (5,001–10,000 vs 201–500), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Media & Entertainment vs Manufacturing, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.