ScienceSoft vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
ScienceSoft (3.9/5) edges ahead of ELEKS (3.6/5) 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. ELEKS is the stronger option for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. The right choice depends on your project size, budget, and required tech stack.
ScienceSoft vs ELEKS: head-to-head summary
| Criterion | ScienceSoft | ELEKS |
|---|---|---|
| Founded | 1989 | 1991 |
| HQ | McKinney, TX, USA | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 700–1,000 | 2,000–3,000 |
| Rating | 3.9 / 5 | 3.6 / 5 |
| Best for | Manufacturing, healthcare, and oil & gas companies needing a long-established US-headquartered ML partner with Microsoft and AWS credentials | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $50K | $100K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, Scikit-learn, TensorFlow |
| Industries served | Manufacturing, Healthcare, SaaS, Logistics, Fintech | Healthcare, Manufacturing, Fintech, Retail, Logistics |
ScienceSoft vs ELEKS: 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.
ELEKS
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
Services and capabilities: ScienceSoft vs ELEKS
| Capability | ScienceSoft | ELEKS |
|---|---|---|
| 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 ELEKS
| Framework / platform | ScienceSoft | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | ✓ |
| AWS SageMaker | ✓ | N/A |
| MLflow | ✓ | ✓ |
| 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 ELEKS
| Criterion | ScienceSoft | ELEKS |
|---|---|---|
| Minimum engagement | $50K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: ScienceSoft vs ELEKS
| Dimension | ScienceSoft | ELEKS |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Manufacturing, Healthcare, SaaS | Healthcare, Manufacturing, Fintech |
| Best use cases | Demand forecasting and production optimisation ML for manufacturing plants, Clinical decision support ML for healthcare providers and hospital systems | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Fixed project | Dedicated team |
ScienceSoft vs ELEKS: 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 |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
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 ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Decision matrix: ScienceSoft vs ELEKS
| 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 | ScienceSoft |
| 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 ELEKS
| Use case | ScienceSoft fit | ELEKS 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 | Strong | Both equally |
| Market forecasting ML for retail sales planning and inventory optimisation | Limited | Strong | ELEKS |
| Demand prediction for manufacturing capacity planning and scheduling | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ScienceSoft vs ELEKS
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.
ELEKS (3.6/5) is the better choice when enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
ScienceSoft vs ELEKS FAQ
Is ScienceSoft better than ELEKS?
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. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
How do ScienceSoft and ELEKS differ in pricing?
ScienceSoft uses fixed project, dedicated team, t&m pricing with a minimum engagement of $50K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: ScienceSoft or ELEKS?
ELEKS 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 ELEKS?
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. ELEKS's primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and us presence in chicago for north american enterprise clients. They also differ in team size (700–1,000 vs 2,000–3,000), minimum engagement ($50K vs $100K), and primary industries served (Manufacturing, Healthcare vs Healthcare, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.