ScienceSoft vs Devox Software: full comparison for 2026
Last updated: July 2026
Quick verdict
ScienceSoft (3.9/5) edges ahead of Devox Software (3.7/5) overall. ScienceSoft is the better choice for manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials. Devox Software is the stronger option for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. The right choice depends on your project size, budget, and required tech stack.
ScienceSoft vs Devox Software: head-to-head summary
| Criterion | ScienceSoft | Devox Software |
|---|---|---|
| Founded | 1989 | 2014 |
| HQ | McKinney, TX, USA | Kyiv, Ukraine / Kraków, Poland |
| Team size | 700–1,000 | 100–200 |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Best for | Manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials | EU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, T&M, dedicated team |
| Min. engagement | $50K | $15K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | Manufacturing, Healthcare, SaaS, Logistics, Fintech | Fintech, Retail, E-commerce, Healthcare, Logistics |
ScienceSoft vs Devox Software: overview
ScienceSoft
ScienceSoft is a global IT services company founded in 1989 and headquartered in McKinney, Texas, with 700+ employees and delivery centres in Eastern Europe and the Americas. The firm's machine learning practice focuses on custom ML solutions for manufacturing, healthcare, and oil & gas industries, with a 35-year IT track record across 20+ countries. ScienceSoft's ML engineers design and implement models for demand forecasting, quality prediction, medical diagnostics, and production optimisation. The company holds Microsoft Gold Partnership and AWS Partner certifications.
Devox Software
Devox Software is an IT outsourcing services provider headquartered in Ukraine with offices in Poland and Romania, offering AI-driven legacy modernisation, cloud application development, and machine learning solutions. The firm employs 100+ qualified experts and reports 82% of clients working with them for over two years, with 90% of customers located in the EU, UK, or USA. Devox develops Python machine learning solutions using PyCaret, Matplotlib, TensorFlow, and PyTorch, with a primary focus on finance and retail-oriented ML applications.
Services and capabilities: ScienceSoft vs Devox Software
| Capability | ScienceSoft | Devox Software |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & text analytics | ✗ | ✓ |
| MLOps & deployment | ✓ | ✗ |
| Generative AI | ✗ | ✗ |
| ML consulting & strategy | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: ScienceSoft vs Devox Software
| Framework / platform | ScienceSoft | Devox Software |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | ✓ | N/A |
| MLflow | ✓ | N/A |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: ScienceSoft vs Devox Software
| Criterion | ScienceSoft | Devox Software |
|---|---|---|
| Minimum engagement | $50K | $15K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ScienceSoft vs Devox Software
| Dimension | ScienceSoft | Devox Software |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, SaaS | Fintech, Retail, E-commerce |
| Best use cases | Demand forecasting and production optimisation ML for manufacturing plants, Clinical decision support ML for healthcare providers and hospital systems | Financial risk scoring models for lenders and credit providers, Retail demand forecasting and inventory optimisation ML |
| Typical project type | Fixed project | Fixed project |
ScienceSoft vs Devox Software: pros and cons
| ScienceSoft | |
|---|---|
| + | 35-year delivery track record provides confidence for regulated industry procurement requirements |
| + | Microsoft Gold and AWS Partner certifications verify cloud ML deployment credentials |
| + | Deep manufacturing, healthcare, and oil & gas ML vertical expertise with named case studies |
| + | 700+ employees provide delivery capacity for large concurrent enterprise programmes |
| + | US Texas HQ for North American enterprise client engagement and account management |
| - | ML is one of many IT service lines — not a pure-play AI specialist firm |
| - | Primary vertical focus on manufacturing and healthcare may not serve other sectors equally well |
| - | Higher minimum engagement than boutique ML alternatives at similar quality tier |
| Devox Software | |
|---|---|
| + | Strong 82% long-term client retention rate demonstrates delivery satisfaction |
| + | Python-native ML focus with documented framework coverage including PyCaret |
| + | $15K minimum engagement accessible for earlier-stage project initiation |
| + | Finance and retail ML specialisation with practical industry use case depth |
| + | Eastern European rates with EU/UK/US-facing delivery capability |
| - | Ukraine/Poland primary delivery requires business continuity assessment for critical programmes |
| - | Team of 100+ limits simultaneous capacity for very large multi-stream ML programmes |
| - | Less extensive public portfolio compared to larger competitors |
Who should choose ScienceSoft?
ScienceSoft is the right choice for manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials.
35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML. Minimum engagement starts at $50K. Works best with clients in Manufacturing, Healthcare, SaaS, Logistics, Fintech.
Who should choose Devox Software?
Devox Software is the right choice for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases. Minimum engagement starts at $15K. Works best with clients in Fintech, Retail, E-commerce, Healthcare, Logistics.
Decision matrix: ScienceSoft vs Devox Software
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ScienceSoft |
| You need a large dedicated team for an ongoing programme | ScienceSoft |
| Your budget is at the lower end | Devox Software |
| You need specialist depth in a specific vertical | ScienceSoft |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ScienceSoft |
Use case fit: ScienceSoft vs Devox Software
| Use case | ScienceSoft fit | Devox Software fit | Winner |
|---|---|---|---|
| Demand forecasting and production optimisation ML for manufacturing plants | Strong | Strong | Both equally |
| Clinical decision support ML for healthcare providers and hospital systems | Strong | Limited | ScienceSoft |
| Financial risk scoring models for lenders and credit providers | Limited | Strong | Devox Software |
| Retail demand forecasting and inventory optimisation ML | Limited | Strong | Devox Software |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ScienceSoft vs Devox Software
ScienceSoft (3.9/5) is the stronger overall choice for most Machine Learning Development projects. 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML. It is best for manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials.
Devox Software (3.7/5) is the better choice when eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. If your situation matches those criteria, Devox Software is a competitive option.
Related comparisons
ScienceSoft vs Devox Software FAQ
Is ScienceSoft better than Devox Software?
ScienceSoft (3.9/5) scores higher overall, but "better" depends on your use case. ScienceSoft is better for manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials. Devox Software is better for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
How do ScienceSoft and Devox Software differ in pricing?
ScienceSoft uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. Devox Software uses fixed project, t&m, dedicated team pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ScienceSoft or Devox Software?
ScienceSoft is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between ScienceSoft and Devox Software?
ScienceSoft's primary differentiator is: 35-year it firm with microsoft gold and aws partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ml. Devox Software's primary differentiator is: high client retention rate (82% long-term partnerships) with python-native ml focus for finance and retail use cases. They also differ in team size (700–1,000 vs 100–200), minimum engagement ($50K vs $15K), and primary industries served (Manufacturing, Healthcare vs Fintech, Retail).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.