ScienceSoft vs Oxagile: full comparison for 2026
Last updated: July 2026
Quick verdict
ScienceSoft (3.9/5) edges ahead of Oxagile (3.8/5) 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. Oxagile is the stronger option for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. The right choice depends on your project size, budget, and required tech stack.
ScienceSoft vs Oxagile: head-to-head summary
| Criterion | ScienceSoft | Oxagile |
|---|---|---|
| Founded | 1989 | 2005 |
| HQ | McKinney, TX, USA | New York, NY, USA / Minsk, Belarus |
| Team size | 700–1,000 | 400–600 |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials | Media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems |
| Pricing model | Fixed project, dedicated team, T&M | Fixed project, dedicated team, T&M |
| Min. engagement | $50K | $25K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, TensorFlow, OpenCV |
| Industries served | Manufacturing, Healthcare, SaaS, Logistics, Fintech | E-commerce, Healthcare, Manufacturing, Logistics, SaaS |
ScienceSoft vs Oxagile: 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.
Oxagile
Oxagile is a custom software development firm founded in 2005 with offices in New York and Minsk, Belarus, specialising in video domain AI, AdTech, business intelligence, and educational technology. The firm's machine learning practice focuses on object recognition, video analytics, and AI-powered media solutions, drawing on over 20 years of video technology delivery. Oxagile's ML engineering team works with clients in sports, media, advertising, and education to deliver production-grade AI features integrated into video platforms. The firm employs 400+ engineers.
Services and capabilities: ScienceSoft vs Oxagile
| Capability | ScienceSoft | Oxagile |
|---|---|---|
| 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 Oxagile
| Framework / platform | ScienceSoft | Oxagile |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | N/A |
| 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 Oxagile
| Criterion | ScienceSoft | Oxagile |
|---|---|---|
| Minimum engagement | $50K | $25K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Fixed project, Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ScienceSoft vs Oxagile
| Dimension | ScienceSoft | Oxagile |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, SaaS | E-commerce, Healthcare, Manufacturing |
| Best use cases | Demand forecasting and production optimisation ML for manufacturing plants, Clinical decision support ML for healthcare providers and hospital systems | Object recognition systems for sports highlight clip generation, Video analytics for media consumption behaviour and content performance |
| Typical project type | Fixed project | Fixed project |
ScienceSoft vs Oxagile: 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 |
| Oxagile | |
|---|---|
| + | 20+ years of video technology expertise — stronger than most for video-domain ML use cases |
| + | Strong computer vision and object recognition delivery across named media and sports clients |
| + | 400+ engineers provide staffing capacity for medium-to-large concurrent projects |
| + | US-based New York presence for North American client engagement in business hours |
| + | Documented AdTech ML applications including ad relevance and fraud detection models |
| - | Primary strength is video and media ML — less suited to non-video ML use cases |
| - | Belarus-based delivery requires business continuity planning for long-term engagements |
| - | Less documented coverage of modern LLM and generative AI than newer 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 Oxagile?
Oxagile is the right choice for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients. Minimum engagement starts at $25K. Works best with clients in E-commerce, Healthcare, Manufacturing, Logistics, SaaS.
Decision matrix: ScienceSoft vs Oxagile
| 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 | Oxagile |
| 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 Oxagile
| Use case | ScienceSoft fit | Oxagile fit | Winner |
|---|---|---|---|
| Demand forecasting and production optimisation ML for manufacturing plants | Strong | Limited | ScienceSoft |
| Clinical decision support ML for healthcare providers and hospital systems | Strong | Limited | ScienceSoft |
| Object recognition systems for sports highlight clip generation | Limited | Strong | Oxagile |
| Video analytics for media consumption behaviour and content performance | Limited | Strong | Oxagile |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ScienceSoft vs Oxagile
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.
Oxagile (3.8/5) is the better choice when media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems. If your situation matches those criteria, Oxagile is a competitive option.
Related comparisons
ScienceSoft vs Oxagile FAQ
Is ScienceSoft better than Oxagile?
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. Oxagile is better for media, sports, and AdTech companies needing AI and ML capabilities integrated into video platforms and content analytics systems.
How do ScienceSoft and Oxagile differ in pricing?
ScienceSoft uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. Oxagile uses fixed project, dedicated team, t&m pricing with a minimum engagement of $25K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ScienceSoft or Oxagile?
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 Oxagile?
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. Oxagile's primary differentiator is: 20-year video technology specialist with strong computer vision and video analytics ml capability for media, sports, and adtech clients. They also differ in team size (700–1,000 vs 400–600), minimum engagement ($50K vs $25K), and primary industries served (Manufacturing, Healthcare vs E-commerce, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.